
Citation: Gerard Marx, Chaim Gilon. The Molecular Basis of Neural Memory. Part 7: Neural Intelligence (NI) versus Artificial Intelligence (AI)[J]. AIMS Medical Science, 2017, 4(3): 241-260. doi: 10.3934/medsci.2017.3.241
[1] | Charles Makoundi, Khin Zaw, R.R. Large . Laser Ablation ICPMS Analysis of Pyrite and U-Pb Zircon Dating of Host Rocks From the Tersang Gold Deposit, Malaysia. AIMS Geosciences, 2017, 3(3): 396-437. doi: 10.3934/geosci.2017.3.396 |
[2] | William Guo . Density investigation and implications for exploring iron-ore deposits using gravity method in the Hamersley Province, Western Australia. AIMS Geosciences, 2023, 9(1): 34-48. doi: 10.3934/geosci.2023003 |
[3] | Rajinder S. Jutla . The Evolution of the Golden Temple of Amritsar into a Major Sikh Pilgrimage Center. AIMS Geosciences, 2016, 2(3): 259-272. doi: 10.3934/geosci.2016.3.259 |
[4] | Armin Salsani, Abdolhossein Amini, Shahram shariati, Seyed Ali Aghanabati, Mohsen Aleali . Geochemistry, facies characteristics and palaeoenvironmental conditions of the storm-dominated phosphate-bearing deposits of eastern Tethyan Ocean; A case study from Zagros region, SW Iran. AIMS Geosciences, 2020, 6(3): 316-354. doi: 10.3934/geosci.2020019 |
[5] | William Guo . Thermal magnetic analysis on iron ores and banded iron formations (BIFs) in the Hamersley Province: Implications of origins of magnetic minerals and iron ores. AIMS Geosciences, 2023, 9(2): 311-329. doi: 10.3934/geosci.2023017 |
[6] | Stanley C. Nwokebuihe, Evgeniy Torgashov, Adel Elkrry, Neil Anderson . Characterization of Dredged Oyster Shell Deposits at Mobile Bay, Alabama Using Geophysical Methods. AIMS Geosciences, 2016, 2(4): 401-412. doi: 10.3934/geosci.2016.4.401 |
[7] | Matteo Serra, Fabio Fanari, Francesco Desogus, Paolo Valera . The fluorine in surface waters: origin, weight on human health, and defluoridation techniques. AIMS Geosciences, 2022, 8(4): 686-705. doi: 10.3934/geosci.2022038 |
[8] | Jianzhao Yin, Haoyu Yin, Yuhong Chao, Hongyun Shi . Energy and tellurium deposits. AIMS Geosciences, 2024, 10(1): 28-42. doi: 10.3934/geosci.2024002 |
[9] | Evgeny P Terekhov, Anatoly V Mozherovsky . Some features of geological structure of the Shikotan Island (Lesser Kuril Arc)—A view from "Space". AIMS Geosciences, 2024, 10(4): 907-917. doi: 10.3934/geosci.2024042 |
[10] | Vadim Khomich, Svyatoslav Shcheka, Natalia Boriskina . Geodynamic factors in the formation of large gold-bearing provinces with Carlin-type deposits on continental margins in the North Pacific. AIMS Geosciences, 2023, 9(4): 672-696. doi: 10.3934/geosci.2023036 |
The territories joining Southeast Russia, East Mongolia, and Northeast China, collectively referred to as Priamury, occupy a significant part of East Asia. Geologically, this area is a zone where the fold structures of the Central Asian (Ural-Mongol) and Pacific Orogenic Belts converge, bounded to the north and south by the Siberian (North Asian) and Sino-Korean (North China) cratons, respectively (Figure 1).
In Priamury, areas where deposits of noble, nonferrous, and radioactive metals of Late Mesozoic age are concentrated display not only clustered (nodal) but also linear (belt-like) arrangements [1,2,3]. Ore-forming processes in many mineragenically specialized clusters and districts, which spread hundreds and thousands of kilometers apart, are characterized by similar evolutionary trends and relative synchronicity in formation, despite being part of different tectonic structures. [4,5,6,7]. These ore-forming processes are associated with high alkalinity magmatic formations of the Late Jurassic-Early Cretaceous age. Identifying the characteristics of the geodynamic environments in which these deposits formed is important both scientifically and practically. Furthermore, the number of the largest world-class ore clusters and districts in the worldwide is relatively small.
My purpose of this review is to provide evidence of the influence of deep geodynamics on the significant development of ore-forming processes in certain environments and to identify the prerequisites for subsequently applying this concept in metallogenic zonation, as well as in exploratory research.
An analysis and synthesis of geological and geophysical data on regional metallogeny in Priamury, in conjunction with geochronological and tomographic research materials on the Late Mesozoic-Cenozoic deep geodynamics in East Asia, will enable a reevaluation of the major factors that influenced the formation and location of large and super large ore clusters with Au, PGE, U, Mo, and fluorite mineralization.
The Priamury region, located within the Asian continent and situated between the Siberian and Sino-Korean cratons, is also distinguished as the Amur plate [8]. This plate is a collage of microcontinents featuring Early Precambrian sialic crust separated by orogenic (fold-thrust) superterranes of various ages made up of transformed rock complexes from passive and active margins, marked by ophiolitic sutures [7,9,10,11]. The largest super terranes in the region, which belong to the Central Asian Orogenic Belt, include Baikal-Vitim, Selenga-Stanovoi, Mongol-Okhotsk, Solonker, and South-Mongol (Figure 1). Fragments of fold-thrust structures in the Pacific belt are represented by the Badzhal and Sikhote-Alin super terranes. Among the Priamury super terranes, the most notable are Kerulen-Argun, South Gobi, and Bureya-Jiamusi-Khanka. A distinctive feature of the region is a large Late Mesozoic igneous province, which includes layered systems of volcanic-plutonic belts (VPB) and volcanic-plutonic zones (VPZ), extensive rift depressions, syneclises, and broad fields of Cenozoic plateau basalts. Notably among the VPB are Mongolia-Priargun, Greater- and Lesser Xingan, and East-Sikhote-Alin; among the VPZ are Badzhal, Umlekan-Ogodzha, Lower Zeya, and Ichun-Yuquan. The marginal continental VPBs and their segments include East-Sikhote-Alin, Uda-Murgal, and Okhotsk-Chukotsk. Among the rifts and grabens, the largest are Songliao, Amur-Zeya, Sangjian-Middle-Amur, Syaolihe, Hulunur, Erlian, and Dzunbain.
The Priamury region exhibits abnormally high heterogeneity in its crust and mantle. It prominently features rifting accompanied by the basification of the Earth's crust along the axial zones of depressions and the formation of Cenozoic areas of basaltic volcanism. The region is also characterized by increased elevated seismic activity [10,12,13,14]. A significant regional geological feature is the Xingan-Okhotsk fragment of the Indo-China-Chukotka (Main) gravity domain, which is approximately 150 km wide with a gravitational difference of 50–100 mGal and a total length of over 3000 km [10,13]. To the east of the Xingan-Okhotsk fragment of the Main gravity domain, the crust of Priamury is thinner, measuring 32–34 km, whereas to the west, the crust thickness increases by 10–12 km. In the western area, the lithosphere thickness also increases to approximately 150 km, whereas in the east, it decreases to 80 km [10].
Another significant geological division in the region is the Vebirs zone (Verkhoyan-Birma), which is of Late Paleozoic-Early Mesozoic origin. This zone represents the virtual western boundary of East Asia, where the influence of the Pacific Mobile Belt structures ends. In Southeast Russia, the Vebirs zone is represented by the Baikal fragment, which is 400–500 km wide and includes several extended near-meridional faults and parts of Phanerozoic fold systems enclosed between them. The Baikal and Khubsugul rifts are confined to the axial part of the zone, as is the so-called prerift area [15], in which diatremes, dikes, and subvolcanic bodies composed of alkaline basalt rocks are known to exist in Mongolia, south of the Tunkin Valley. A consistent weakening of the influence of Mesozoic-Cenozoic geodynamics from east to west is recorded in the Vebirs zone. The eastern border of the zone coincides with the Patom-Zhuya and Onon-Tura deep strike-slip faults in Transbaikalia and with the East-Gobi and Dzunbain depressions in Mongolia. Near this zone, belts of Late Jurassic-Early Cretaceous magmatism are prominent: the Aldan belt of alkaline intrusions; the Nercha-Oldoi, Mongol-Priargun, and South-Gobi basalt-rhyolite belts; and systems of rift basins synchronous with them [10]. Manifestations of Mesozoic granitoid magmatism and contrasting basalt-rhyolite associations, as well as Lower Cretaceous coal-bearing depressions, completely disappear at the western boundary of the Vebirs zone.
The concept of the geodynamic evolution of a region is based on the integral model of the active continental margin [9,16,17]. Many scientists agree that the major events in the formation of the structure of East Asia occurred in the Jurassic-Cretaceous and Cenozoic [18,19,20]. The eastern flank of the Central Asian Orogenic Belt in the Asia Pacific convergence zone was "opposed" by the most ancient part of the paleo-Pacific plate [21]. The active development of subduction and rifting processes in the zone led to the emergence of several fragments of the Asian continental margin-related volcano-plutonic belt [22.23]. On the basis of geophysical data of the Main gravity domain location, such fragments in the Late Jurassic-Early Cretaceous evolution of the region were Uda-Murgal, Umlekan-Ogodzha, and Great Xing'an VPB. There are several alternative viewpoints regarding the Great Xing'an belt. Some geologists consider it intracontinental [9,20], while others interpret it as a continental margin-related belt [11,24,25], with some differences in the interpretation of the spatial position of the paleo-subduction zone associated with the formation of the Great Xing'an VPB. The author concurs with Gordienko [26], who reported that the subduction zone near the VPB is likely buried under the Songliao syneclise of rifting origin. To a certain extent, this is confirmed by the presence of local mantle and asthenosphere uplifts, seismic activity, and elevated heat flow. The thinned lithosphere of the syneclise resembles that of the riftogenic trough along the coasts of the Okhotsk and Japanese margin seas [10]. With such an interpretation, the Late Mesozoic volcanic zones of Eastern Transbaikalia, and perhaps the entire Mongol-Priargun belt, are external peripheral fragments of the large Upper Amur VPB, of which the Great Xing'an belt was its internal (axial) part. This interpretation of geological and geophysical materials completely agrees with the results of many geochronological [27,28,29], petrological, geochemical [30,31], and metallogenic studies [20,32,33] and relatively simply explains the reason for the convergence of the Argun-Gonzha and Selenga-Stanovoi composite terranes in the Early Jurassic, followed by the subsequent "die-off" (closure) of the Transbaikal and Upper Amur segments of the Mongol-Okhotsk oceanic basin. It is also possible that the convergence ended at the beginning of the Middle Jurassic during the collision of the Aldan-Stanovoi and Amur plates [34]. Judging from numerous isotopic age determinations of magmatites distributed in different parts of the Upper Amur VPB, its active development terminated by the end of the Early Cretaceous or somewhat later [35,36].
In the Late Cretaceous (100–75 Ma) along the eastern margin of Asia (from Southern China to the Siberian Craton), a western fragment of the Pacific plate, represented by the Izanagi Plate, predominantly underwent frontal subduction. This subduction process contributed to the formation of the East Sikhote-Alin arc and other magmatic arcs of the VPB, as well as the development of forearc (West Sakhalin and others) and backarc (Sanjiang-Middle Amur, Alchan, Lower Amur, etc.) rift troughs filled with volcanic-sedimentary molasse complexes. The Pribrezhnaya gradient zone, associated with East Sikhote-Alin VPB, has approximately the same variance in gravity field anomalies as Xingan-Okhotsk.
Subsequently, in the Maastrichtian-Eocene, following the absorption of the Izanagi Plate, another intensification of transform (or strike-slip) activity between the Eurasian and Pacific plates occurred. This led, in the Oligocene-Miocene, to new counter-movements and the emergence of the Kuril and Japanese island arcs. Intense rifting during this period, which resulted in the stretching and thinning of the crust, led to the formation of the Sea of Okhotsk and the Sea of Japan, as well as extensive fields of high-alkalinity plateau basalts (Figure 2).
The information provided about the existence of Late Mesozoic-Cenozoic magmatic formations of crust-mantle origin in Southeast Russia, East Mongolia, and Northeast China highlights the need for modern analysis of tomographic study results. On the basis of these data [12,32,37,38,39,40,41,42] and paleotectonic reconstructions, the subduction processes of the Pacific plate beneath the Eurasian continent have been actively developing since the Late Mesozoic. As the Pacific megaplate fragments subsided into the mantle, they transformed within the transition zone into a stagnant heterochronic composite slab (Figure 3). The slab front, which aligns well with the western contour of the large post-riftogenic Mesozoic-Cenozoic depression distribution and extensive fields of Cenozoic basalts, is projected onto the Aldan and Olekma interfluves, including their middle and upper reaches, and extends further to Southeastern Transbaikalia, East Mongolia, and Northeast China. Considering studies of the Sakhalin-South Kuril Province [43], there is reason to believe that the WNW-oriented slab flank boundaries may have been paleotransform faults preserved beneath the continent and active during subduction processes. Notably, on the present-day surface, the width of the areas where mantle formations are mapped, i.e., in the belt of probable influence of both the frontal and flank boundaries of the slab, reaches 150–200 km. [6,44]. This finding is consistent with the transverse dimensions of similar faults established by researchers examining thermal fields in the Atlantic and southeast Pacific [45].
East Asia covers an area of approximately 1 million square kilometers and is situated between the Siberian and North China platforms. It is bounded to the west by the Baikal fragment of the Vebirs zone and to the east by the coasts of the Sea of Okhotsk and the Sea of Japan. Currently, more than a dozen superlarge, world-class ore clusters of the Late Jurassic-Early Cretaceous age are known in this region. These deposits include gold deposits—Aldan, Balei (Russia), and Zhao-Ye (China); uranium deposits—Elkon, Strelzovka (Russia), and Dornot (Mongolia); placer deposits, mainly platinum metal deposits—Inagli, Konder, Feklistov, and Chad (Russia). Additionally, large Mo-porphyry deposits (Bugdaya, Shakhtama, Davenda, Zhireken, Caosiyao), Cu-Mo deposits (Kultuma), and fluorite veins (Garsonui, Kalangui, Usugli, Abagaitui, etc.) have been discovered within the same territory. Information about their ages is provided in Table 1.
Metallogenic specialization of OMS | Typical ore clasters and districts | Age (Ma) | Dating method | References |
Gold-bearing | Aldan (South Yakutia, Russia) | 165 – 155, 145 – 140, 135 – 130 |
K-Ar (magmatites) | [54,55] |
Darasun (South Transbaikalia, Russia) | 160.5 ± 0.4 | Rb-Sr (granodio rite porphyry) | [56] | |
159.6 ± 1.5 | K-Ar (beresites) | |||
Balei (Transbaikalia, Russia) | 175 ± 6, 148 ± 6, 120 ± 5 | K-Ar (metasomatites) | [31,57,58] | |
Daqingshan (North China Craton (NCC)) | 239.8 ± 3.0 | Ar-Ar (sericite) |
[33] | |
Zhangjiakou (NCC) | 389 ± 1; 135.5 ± 0.4 | U-Pb (zircon) | ||
Yanshan (NCC) | 199 ± 2; | U-Pb (zircon) | ||
192 – 177 | Re-Os (molybdenite) | |||
Zhao-Ye (Jiaodong Peninsula, China) |
121.0 ± 2.0 | Ar-Ar (sericite) | ||
120.6 ± 0.9 | Rb-Sr (pyrite) | |||
159 ± 1; 116 – 132; 149 ± 5, 129 ± 1; 117 ± 3 | U-Pb (zircon) | |||
Platinum-bearing | Inagli (South Yakutia, Russia) | 145.8 ± 3.2; 142.4 ± 2.0; 133.4 ± 1; 133 – 128; |
Ar-Ar (clinopyroxenite) | [59,60] |
Chad (Khabarovsk district, Russia) | 123 ± 6; 113 ± 6; 107 ± 6 | 90Pt–4He (isoferroplatinum) |
[61,62,63] |
|
Konder (Khabarovsk district, Russia) | 124.9 ± 1.9 | U-Pb (baddeleytte) | ||
125.8 ± 3.8 | U-Pb (zircon) | |||
112 ± 7 | 90Pt-4He (isoferroplatinum) |
|||
129 ± 6 | 90Pt-4He (isoferroplatinum) | [64] | ||
Uranium-bearing | Elkon (South Yakutia, Russia) | 150 – 130 | K-Ar(magmatites) | [65,66] |
135 – 130 | Rb-Sr (granodiorite porphyry) | |||
Streltsovka (South Transbaikalia, Russia) | 178 – 154;150 – 138; | U-Pb (zircon), | [31,51] |
|
126 – 117 | Rb-Sr (rhyolites, granites) | |||
144 ± 5; 138 ± 5; 129 ± 5 | K-Ar (hydromicasite) | [57] | ||
Dornot (East Mongolia) | 172 – 168; 161 ± 7 170 – 160; 145 – 143; |
K-Ar (hydromicasite) | [31,51,67] | |
139 ± 2 | Rb-Sr (granites) | |||
138 – 135 | U-Pb (zircon) | |||
Guyuan-Duolung (Inshan-Liaohe, China) | 132.6 ± 8, 9~136.4 ± 3, 1 | Rb-Sr (rhyolite) | [68] | |
136.2 ± 2.9; 140.2 ± 1.6; 138.6 ± 1.4 |
U-Pb (zircon) | [69,70] | ||
Fluorite-bearing | Usugli (South Transbaikalia, Russia) | 120 – 110 ± 5 | K-Ar (muscovite) | [71] |
Kalangui (South Transbaikalia, Russia) | 114 – 112 | |||
Garsonui (South Transbaikalia, Russia) | 165 ± 9 | K-Ar (muscovite) | [31,57] | |
Abagaitui (South Transbaikalia, Russia) | 135 ± 6 | |||
Molybdenum-copper-porphyry | Zhireken (Eastern Transbaikalia, Russia) |
161.0 ± 1.6; 157.5 ± 2.0 | U-Pb (zircon) | [52,72,73] |
163 ± 1 | Re-Os (molybdenite) | |||
Shakhtama (Eastern Transbaikalia, Russia) |
160 – 157 | Re-Os (molybdenite) | ||
163 – 159, 160 – 153 | U-Pb (zircon) | |||
Bugdaya (Eastern Transbaikalia, Russia) |
136 ± 7 | K-Ar (beresites) | [57] | |
Caosiyao, (Xinghe, Inner Mongolia, China) |
128.6 ± 2.4; 150.9 ± 2.2 | Re-Os (molybdenite) | [29] | |
140.1 ± 1.7; 148.5 ± 0.9 | U-Pb (zircon) |
Strategic raw material reserves in the listed deposits, depending on their association with specific ore-magmatic systems (OMS) and metallogenic specialization, exceed dozens to hundreds of tons of PGE, thousands of tons of Au, dozens to hundreds of thousands of tons of uranium, hundreds of thousands to millions of tons of Mo, and millions to tens of millions of tons of fluorite [4,20,46,47].
The common features of the listed ore clusters and districts include their locations on the edges of cratons or cratonized terranes with crustal thicknesses of 36–38 km near large gravity gradients and tectonic mélange zones [50]. These objects are characterized by their association with Late Mesozoic (Middle-Late Jurassic-Early Cretaceous) mafic and/or salic magmatic, high alkalinity formations—derivatives of deep (crust-mantle) layered chambers (magmatogens), which act as important indicators of highly productive OMS. The affiliation of large clusters and districts with such OMS is determined by the sequential localization of magma and ore-forming process derivatives in their area and their zoned position. This includes, on the one hand, intrusive and subvolcanic bodies, dikes, and on the other hand, depending on specialization—Mo-porphyry or Mo-U, Li, fluorite, Au-rare metal (with Te, Bi, W), Au-U-quartz, Au-sulfide, Au-porphyry, Au-Ag, and Au-jasperoid deposits. Zonation is combined with an increase in the content of noble metals (up to extremely high levels) in later ore bodies: stockworks and linear vein bodies [4,30]. In each district of concentration, both noble metals and uranium, as well as molybdenum mineralization, show evidence that Late Jurassic-Early Cretaceous mineralization was inherited from earlier stages, as identified among the Archean greenstone, Riphean metamorphic, and Paleozoic granitoid formations [5,51,52,53]. The listed ore clusters and districts include deposits from three evolutionary series: Gold-molybdenum, rare-polymetal-uranium, and fluorine-gold-silver.
The Aldan ore district is key to understanding the general patterns of strategic raw material deposit distributions in East Asia. It features several gold-bearing zones [54], and a significant number of uranium-bearing zones [53], alongside concentrations of molybdenum occurrences and deposits, as well as the presence of fluorite in the Elkon ore district. Notably, the platinum-bearing alluvial deposits along the Inagli River and its tributaries are also recognized [1]. The source of the platinum group minerals in the Inagli River placers is the zoned alkaline ultramafic Inagli pluton, the dunite core of which is encased by Late Mesozoic varieties high in silica and alkalis. Additionally, other zoned platinum-bearing alkaline ultramafic massifs similar to Inagli (e.g., Konder, Feklistov, Chad, etc.), featuring placers of Au and platinum group minerals, were identified to the ESE of the Aldan district in the Inagli-Konder-Feklistov magma-metallogenic belt, which stretches over 1000 kilometers (Figure 4) [1,5].
There is petrological and isotope-geochemical evidence supporting the mantle origin of mafic-ultramafic complexes in the listed zoned massifs, as well as the Cr-PGE mineralization identified here [59,74,75]. The age of its formation, dated for native Pt minerals from the Konder massif (190Pt-4He method) is 112 ± 7 Ma [61]; the 190Pt-4He ages of isoferroplatinum samples of different geneses −129 ± 6 Ma [63]; and the ages of baddeleytte and zircon (U-Pb method) from the dunite core are 124, 9 ± 1, 9 and 125, 8 ± 3, 8 Ma, respectively [62]. The data presented are quite comparable to the concentrations of gold, uranium, uranium-molybdenum, molybdenum, copper-molybdenum, and fluorite mineralization in East Asia (see Table). Generally, fluorite not only is a typomorphic mineral in U, Mo-U, and Cu-Mo deposits [76] but also forms significant fluorite deposits in many ore clusters in Transbaikalia and Mongolia.
When the seismic tomographic and minerogenic layouts of Priamury are combined, the largest ore clusters, districts, and fields of Au, PGE, U, as well as Mo and fluorite, are in the region over the front and flank boundaries of the stagnant oceanic slab (Figure 4). The emergence of highly productive OMS in this region during the Late Mesozoic was attributed to the influence of lower mantle under subduction asthenospheric fluid-energy columns, which intensified magma and ore-forming processes in the over subduction asthenosphere, lithosphere, and Earth's crust. This impact was most effective at stagnant oceanic slab boundaries located in the transit zone of the mantle, indicating that it was determined by deep geodynamics.
According to established theories [4,20,46,47], the impact of deep geodynamics on the Earth's crust is influenced by the decompression and dehydration processes of the oceanic slab as it moves into the mantle transition zone, followed by the advection and subsequent upwelling of fluids from the heated under subduction asthenosphere into the over subduction asthenosphere. Fluid upwelling and the resulting metasomatic transformations of the lithospheric mantle led to deformation of the lithosphere, reactivation of cratonic margin parts, and the formation of magmatogens. This sequence is evident in the locations of intermediate and peripheral magma chambers: primary chambers in the lower lithosphere within the metasomatized mantle and lower crust and associated chambers in the middle and upper parts of the Earth's crust. The intensification of magmatic and ore-forming processes has led to the development of returning mantle flows near slab boundaries and the entrapment of undepleted material from the lower mantle in ascending upper mantle plumes [32]. Given the possibility of such a scenario involving the participation of lower mantle derivatives in upper mantle plumes and subsequent mantle-crustal processes, it is logical to explain the existence of large "magmatogens", the roots of which are located several hundred kilometers below the modern surface. The emergence of the magmatogene was accompanied by a concentration of previously dispersed elements, leading to the formation of highly productive systems. This is supported by geophysical [77], isotope geochemical [74], and computational experimental data [78].
Evidence suggests the versatility of phenomena in the convergence megazone between continental and oceanic plates, accompanied by processes such as subduction, stagnation, rifting, decompression, dehydration, fluid advection, and upwelling. The emergence of return flows of lower mantle material and its mixing with upper mantle and crustal components, along with the development of a tiered system of magmatic and ore-forming chambers, explains the formation of large ore clusters and districts in East Asia (Figure 5).
The proposed model for the regular formation and placement of world-class ore districts in the cratonized crust of East Asia takes into account the influence of matter and energy from two asthenospheres and the lower mantle on the intensification of ore-forming processes. This model is supported by studies [5,6,30,79] on the localization of many other ore districts over a stagnant oceanic slab in Russia, Mongolia, and China.
The author declare she have not used Artificial Intelligence (AI) tools in the creation of this article.
The article was written in memory of geologist Professor Vadim G. Khomich. The author expresses sincere gratitude for many years of productive collaboration, in particular, the scientific idea behind this research.
The author is not aware of any conflict of interest.
[1] | Boole G (1853) The Laws of Thought. In: The Mathematical Theories of Logic and Probabilities. Project Gutenberg (EBook #15114). |
[2] | Calderone J (2014) 10 Big Ideas in 10 Years of Brain Science. Scientific American MIND, November 6. |
[3] | Chalmers DJ (1996) The Conscious Mind: In Search for a Fundamental Theory. New York: Oxford University Press. |
[4] | Dehaene S (2014) Consciousness and the Brain. In: Deciphering How the Brain Codes Our Thoughts. New York: Penguin Publishers. |
[5] | Edelman G, Tononi G (2000) A universe of consciousness: How matter becomes imagination. Basic books. |
[6] | LeDoux JE (2003) Synaptic self: How our brains become who we are. New York: Penguin Publishers. |
[7] |
LeDoux JE (2012) Evolution of human emotion: A view through fear. Prog Brain Res 195:431-442. doi: 10.1016/B978-0-444-53860-4.00021-0
![]() |
[8] | Penrose R (1989) The Emperor's New Mind. New York: Oxford University Press. |
[9] | Shiffman D, Fry S, Marsh Z (2012) The nature of code. D. Shiffman. |
[10] | Bostrom N (2014) Superintelligence: Paths, dangers, strategies. OUP Oxford. |
[11] | Zimme (2014) The New Science of the Brain. National Geographic. |
[12] | McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. B Math Biol 5: 115-133. |
[13] | Turing AM (1950) Computing machinery and intelligence. Mind 59: 433-460. |
[14] | Graves A, Wayne G, Danihelka I (2014) Neural turing machines. arXiv preprint arXiv:1410.5401 |
[15] | Von Neumann J (2012) The computer and the brain. 3rd ed. New Haven: Yale University Press: 66. |
[16] | Jeffress LA (1951) Cerebral mechanisms in behavior; the Hixon Symposium. a. von Neumann J. The general and logical theory of automata: 1-41. b. McCullogh WS. Why the mind is in the head: 42-57. |
[17] | Arbib MA (1987) Brains, Machines and Mathematics. In: Neural Nets and Finite Automata. 2nd ed. Berlin: Springer US: 15-29. |
[18] | Franklin S (1995) Artificial Minds. Cambridge, MA: MIT Press. |
[19] | Longuet-Higgins HC (1981) Artificial intelligence-a new theoretical psychology? Cognition 10: 197-201. |
[20] |
Neisser U (1963) The imitation of man by machine. Science 139: 193-197. doi: 10.1126/science.139.3551.193
![]() |
[21] | Sloman A (1979) Epistemology and Artificial Intelligence: Expert Systems in the Microelectronic Age. Edinburgh: Edinburgh University Press. |
[22] | Gardner H (1985) The Mind's New Science. New York: Basic Books. |
[23] | Garland A (2015) Ex Machina – Movie. |
[24] | Sejnowski TJ, Koch C, Churchland PS (1988) Computational neuroscience. Science 24: 1299-1330. |
[25] | Russel S, Norvig P (2009) Artificial Intelligence: A Modern Approach. 3rd ed. NY: Pearson Publishers. |
[26] | Aho AV (2012) Computation and computational thinking. Comput J 55: 832-835. |
[27] |
Guidolin D, Albertin G, Guescini M, et al. (2011) Central nervous system and computation. Quart Rev Biol 86: 265-85 doi: 10.1086/662456
![]() |
[28] | Howard N (2012) Brain Language: The fundamental code unit. Brain Sci 1: 6-34. |
[29] | Howard N, Guidere M (2012) LXIO: The mood detection Robopsych Brain Sci 1: 71-77. |
[30] | Pockett S (2014) Problems with theories of consciousness. Front Syst Neurosci: 225. |
[31] |
Hirschberg J, Manning CD (2015) Advances in natural language processing. Science 349: 261-266. doi: 10.1126/science.aaa8685
![]() |
[32] |
Parkes DC, Wellman MP (2015) Economic reasoning and artificial intelligence. Science 349: 267-272. doi: 10.1126/science.aaa8403
![]() |
[33] |
Gershman SJ, Horvitz EJ, Tenenbaum JB (2015) Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science 349: 273-278. doi: 10.1126/science.aac6076
![]() |
[34] |
Jordan M, Mitchell TM (2015) Machine learning: Trends, perspectives, and prospects. Science 349: 255-260. doi: 10.1126/science.aaa8415
![]() |
[35] | Wu Y, Schuster M, Chen Z, et al. (2016) Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv 1609.08144. |
[36] | y Cajal SR (1995) Histology of the nervous system of man and vertebrates. USA: Oxford University Press. |
[37] | Garcia-Lopez P, Garcia-Marin V, FreireM (2010) The histological slides and drawing s of Cajal. Front Neuroanat 4: 9 |
[38] | Hebb DO (1949). The Organization of Behavior. New York: Wiley. |
[39] | Kandel ER, Schwartz JH, Jessell TM, et al. (2013) Principles of Neural Science. New York: MacGraw-Hill. |
[40] |
Arshavsky YI (2006) "The seven sins" of the Hebbian synapse: can the hypothesis of synaptic plasticity explain long-term memory consolidation?. Prog Neurobiol 80: 99-113. doi: 10.1016/j.pneurobio.2006.09.004
![]() |
[41] | Gallistel CR, KingA (2009) Memory and the Computational Brain. New York: Wiley Blackwell. |
[42] | Hawkins J, Blakeslee S (2005) On Intelligence. New York: St Martin's Press. |
[43] |
Zador A, Koch C, Brown TH (1990) Biophysical model of a Hebbian synapse. Proc Natl Acad Sci USA 87: 6718-6722. doi: 10.1073/pnas.87.17.6718
![]() |
[44] |
Vizi ES, Fekete A, Karoly R, et al (2010) Non-synaptic receptors and transporters involved in brain functions and targets of drug treatment. Br J Pharmacol 160: 785-809. doi: 10.1111/j.1476-5381.2009.00624.x
![]() |
[45] | Vizi E (2013) Role of high-affinity receptors and membrane transporters in non-synaptic communication and drug action in the central nervous system. Pharmacol Rev 52: 63-89. |
[46] | Schmitt FO, Samson FE, Irwin LN, et al. (1969) Brain cell micro-environment. NRP Bulletin: 7. |
[47] | Cserr HF (1986) The Neuronal Environment. Ann NY Acad Sci: 481. |
[48] |
Juliano RI, Haskill S (1993) Signal transduction from extracellular matrix. J Cell Biol 120: 577-585. doi: 10.1083/jcb.120.3.577
![]() |
[49] |
Vargova L, Sykova E (2014) Astrocytes and extracellular matrix in extrasynaptic volume transmission. Phil Trans R Soc B 369: 20130608. doi: 10.1098/rstb.2013.0608
![]() |
[50] |
Giaume C, Oliet S (2016) Introduction to the special issue: Dynamic and metabolic interactions between astrocytes and neurons. Neuroscience 323: 1-2. doi: 10.1016/j.neuroscience.2016.02.062
![]() |
[51] | Hrabětová S, Nicholson C (2007) Biophysical properties of brain extracellular space explored with ion-selective microelectrodes, integrative optical imaging and related techniques. In: Michael AC, Borland LM, editors. Electrochemical Methods for Neuroscience. Boca Raton, FL: CRC Press: chapter 10. |
[52] | Kuhn TS (1970) The Structure of Scientific Revolutions. 2nd ed. Chicago, IL: University of Chicago Press. |
[53] |
Landauer R (1996) The physical nature of information. Physics Letters A 217: 188-193. doi: 10.1016/0375-9601(96)00453-7
![]() |
[54] | Chua LO (2011) Resistance switching memories are memristors. Applied Physics A 102: 765-783. |
[55] |
Di Ventra M, Pershin YY (2011) Memory materials: A unifying description. Mater Today 14: 584-591. doi: 10.1016/S1369-7021(11)70299-1
![]() |
[56] | Kamalanathan D, Akhavan A, Kozicki MN (2011) Low voltage cycling of programmable metallization cell memory devices. Nanotechnology 22: 254017. |
[57] |
Tian F, Jiao D, Biedermann F, et al. (2012) Orthogonal switching of a single supramolecular complex. Nat Commun 3: 1207. doi: 10.1038/ncomms2198
![]() |
[58] |
Sakata Y, Furukawa S, Kondo M, et al. (2013) Shape-memory nanopores induced in coordination frameworks by crystal downsizing. Science 339: 193-196. doi: 10.1126/science.1231451
![]() |
[59] |
Lin WP, Liu S, Gong T, et al. (2014) Polymer-based resistive memory materials and devices. Adv Mater 26: 570-606. doi: 10.1002/adma.201302637
![]() |
[60] |
Zhou X, Xia M, Rao F, et al. (2014) Understanding phase-change behaviors of carbon-doped Ge₂Sb₂Te₅ for phase-change memory application. ACS Appl Mater Interfaces 6: 14207-14214. doi: 10.1021/am503502q
![]() |
[61] | Agnati LF, Fuxe K (2014) Extracellular-vesicle type of volume transmission and tunnelling-nanotube type of wiring transmission add a new dimension to brain neuro-glial networks. Philos Trans R Soc Lond B Biol Sci 369: pii: 20130505. |
[62] |
Fuxe K, Borroto-Escuela DO, Romero-Fernandez W, et al. (2013) Volume transmission and its different forms in the central nervous system. Chin J Integr Med 19: 323-329. doi: 10.1007/s11655-013-1455-1
![]() |
[63] |
Fuxe L, Borroto-Escuela DO (2016) Volume transmission and receptor-receptor interactions in heteroreceptor complexes: Understanding the role of new concepts for brain communication. Neural Regen Res 11: 1220-1223. doi: 10.4103/1673-5374.189168
![]() |
[64] | Fodor JA (1975) The Language of Thought. Boston, MA: Harvard University Press. |
[65] | Sloman A, Croucher M (1981) Why robots will have emotions. Sussex University. |
[66] | Mayer JD (1986) How mood influences cognition. Advances in Cognitive Science 1: 290-314. |
[67] | Salovey P, Mayer JD (1990) Emotional intelligence. Imagination, Cognition and Personality 9: 285-311. |
[68] | Goleman D (1995) Emotional Intelligence. New York: Bantam Books. |
[69] | Valverdu J, Casacuberta D (2009) Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. Information Science Reference. New York: Hershey. |
[70] | Meyer JJ, Dastani MM (2010) The logical structure of emotions. Dutch Companion project grant nr: IS053013. SIKS Dissertation Series No. 2010-2. |
[71] | Hasson C (2011) Modelisation des mecanismes emotionnels pour un robot autonome: perspective developpementale et sociale. PhD Thesis, Universite de Cergy Pontoise, France. |
[72] | Meshulam M, Winter E, Ben-Shakhar G, et al. (2011). Rational emotions. Soc Neurosci 1: 1-7. |
[73] | Steunebrink BR. The Logical structure of emotions. Utrecht University, 2010. |
[74] |
Steunebrink BR, Dastani M, Meyer JJC (2012) A formal model of emotion triggers: an approach for BDI agents. Synthese 185: 83-129. doi: 10.1007/s11229-011-0004-8
![]() |
[75] | Bosse T, Broekens J, Dias J, et al. (2014) Emotion Modeling. Towards Pragmatic Computational Models of Affective Processes. New York: Springer. |
[76] | a. Hudlicka E. From habits to standards: Towards systematic design of emotion models and affective architecture: 3-23. |
[77] | b. Dastani M, Floor C. Meyer JJ. Programming agents with emotions: 57-75. |
[78] | c. Lowe R, Kiryazov K, Utilizing emotions in autonomous robots: An enactive approach: 76-98. |
[79] | 76. Smailes D, Moseley P, Wilkinson S (2015) A commentary on: Affective coding: the emotional dimension of agency. Front Hum Neurosci 9: 142. |
[80] | 77. Lewis M (2016) The Undoing Project: A Friendship That Changed Our Minds. New York:W.W. Norton & Co. |
[81] | 78. Binet A, Simon T (1916) The Intelligence of the Feeble Minded. Baltimore, MD: Williams and Wilkins. |
[82] | 79. Griffin D (2001) Animal Minds: Beyond Cognition to Consciousness. Chicago, IL: University Chicago Press. |
[83] |
80. Albuquerque N, Guo K, Wilkinson A, et al. (2016) Dogs recognize dog and human emotions. Biol Lett 12: 201508 doi: 10.1098/rsbl.2015.0883
![]() |
[84] |
81. Andics A, Gábor A, Gácsi M, et al. (2016) Neural mechanisms for lexical processing in dogs. Science 353:1030-1032. doi: 10.1126/science.aaf3777
![]() |
[85] | 82. De Waal F (2016) Are We Smart Enough To Know How Smart Animals Are? New York: WW Norton & Co. |
[86] | 83. Kekecs Z, Szollosi A, Palfi B, et al. (2016). Commentary: Oxytocin-gaze positive loop and the coevolution of human-dog bond. Front Neurosci 10:155. |
[87] |
84. Kovács K, Kis A, Kanizsár O, et al. (2016) The effect of oxytocin on biological motion perception in dogs (Canis familiaris). Animal Cogn 19: 513-522. doi: 10.1007/s10071-015-0951-4
![]() |
[88] | 85. Wasserman EA (2016). Thinking abstractly like a duck(ling). Science 353: 222-223. |
[89] | 86. Wynne CDL (2004) Do Animals Think? New Jersey: Princeton University Press. |
[90] | 87. Levy S (1993) Artificial Life. New York: Random House. |
[91] |
88. Marx G, Gilon C (2012) The molecular basis of memory. ACS Chem Neurosci 3: 633-642. doi: 10.1021/cn300097b
![]() |
[92] | 89. Marx G, Gilon C (2013) The molecular basis of memory. MBM Pt 2: The chemistry of the tripartite mechanism. ACS Chem Neurosci 4: 983–993. |
[93] | 90. Marx G, Gilon C (2014) The molecular basis of memory. MBM Pt 3: Tagging with neurotransmitters (NTs). Front Neurosci 3: 58. |
[94] | 91. Marx G, Gilon C (2016) The molecular basis of neural memory. MBM Pt 4: The brain is not a computer. "Binary" computation versus "multinary" mentation. Neuroscience and Biomedical Engineering 4: 14-24. |
[95] | 92. Marx G, Gilon C (2016) The Molecular Basis of Neural Memory Part 5: Chemograhic notations from alchemy to psycho-chemistry. In Press. |
[96] | 93. Marx G, Gilon C (2016) The molecular basis of neural memory. MBM Pt 6: Chemical coding of logical and emotive modes. Int J Neurology Res 2: 259-268. |
[97] | 94. Asimov I (1950) I, Robot. New York: Gnome Press. |
[98] | 95. Waldrop MM (1992) Complexity: The Emerging Science at the Edge of Order and Chaos. New York: Viking Penguin Group. |
[99] | 96. Freedman DH (1) Brainmakers. New York: Touchstone Press. |
[100] | 97. Maass W, Joshi P, Sontag ED (2007) Computational aspects of feedback in neural circuits. PLoS Comput Biol 3: e165. |
[101] |
98. Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: Analysis of affective physiological state. IEEE transactions on pattern analysis and machine intelligence 23: 1175-1191. doi: 10.1109/34.954607
![]() |
[102] | 99. Hirschberg J, Manning CD (2015) Advances in natural language processing. Science 349: 261-266. |
[103] | 100. Critique of Pure Reason (1781) Translated by Norman Kemp Smith. London Macmillan 1934. |
[104] | 101. Sloman A (2008) Kantian philosophy of mathematics and young robots. In: Proceedings 7th International Conference on Mathematical Knowledge Management Birmingham, UK, July 28-30. Available from: http://events.cs.bham.ac.uk/cicm08/mkm08/. |
[105] | 102. Berto F (2010). There's Something about Gödel: The Complete Guide to the Incompleteness Theorem. New York: John Wiley and Sons. |
[106] | 103. Ryle G (1949) The Concept of Mind. UK: Penguin Books. |
Metallogenic specialization of OMS | Typical ore clasters and districts | Age (Ma) | Dating method | References |
Gold-bearing | Aldan (South Yakutia, Russia) | 165 – 155, 145 – 140, 135 – 130 |
K-Ar (magmatites) | [54,55] |
Darasun (South Transbaikalia, Russia) | 160.5 ± 0.4 | Rb-Sr (granodio rite porphyry) | [56] | |
159.6 ± 1.5 | K-Ar (beresites) | |||
Balei (Transbaikalia, Russia) | 175 ± 6, 148 ± 6, 120 ± 5 | K-Ar (metasomatites) | [31,57,58] | |
Daqingshan (North China Craton (NCC)) | 239.8 ± 3.0 | Ar-Ar (sericite) |
[33] | |
Zhangjiakou (NCC) | 389 ± 1; 135.5 ± 0.4 | U-Pb (zircon) | ||
Yanshan (NCC) | 199 ± 2; | U-Pb (zircon) | ||
192 – 177 | Re-Os (molybdenite) | |||
Zhao-Ye (Jiaodong Peninsula, China) |
121.0 ± 2.0 | Ar-Ar (sericite) | ||
120.6 ± 0.9 | Rb-Sr (pyrite) | |||
159 ± 1; 116 – 132; 149 ± 5, 129 ± 1; 117 ± 3 | U-Pb (zircon) | |||
Platinum-bearing | Inagli (South Yakutia, Russia) | 145.8 ± 3.2; 142.4 ± 2.0; 133.4 ± 1; 133 – 128; |
Ar-Ar (clinopyroxenite) | [59,60] |
Chad (Khabarovsk district, Russia) | 123 ± 6; 113 ± 6; 107 ± 6 | 90Pt–4He (isoferroplatinum) |
[61,62,63] |
|
Konder (Khabarovsk district, Russia) | 124.9 ± 1.9 | U-Pb (baddeleytte) | ||
125.8 ± 3.8 | U-Pb (zircon) | |||
112 ± 7 | 90Pt-4He (isoferroplatinum) |
|||
129 ± 6 | 90Pt-4He (isoferroplatinum) | [64] | ||
Uranium-bearing | Elkon (South Yakutia, Russia) | 150 – 130 | K-Ar(magmatites) | [65,66] |
135 – 130 | Rb-Sr (granodiorite porphyry) | |||
Streltsovka (South Transbaikalia, Russia) | 178 – 154;150 – 138; | U-Pb (zircon), | [31,51] |
|
126 – 117 | Rb-Sr (rhyolites, granites) | |||
144 ± 5; 138 ± 5; 129 ± 5 | K-Ar (hydromicasite) | [57] | ||
Dornot (East Mongolia) | 172 – 168; 161 ± 7 170 – 160; 145 – 143; |
K-Ar (hydromicasite) | [31,51,67] | |
139 ± 2 | Rb-Sr (granites) | |||
138 – 135 | U-Pb (zircon) | |||
Guyuan-Duolung (Inshan-Liaohe, China) | 132.6 ± 8, 9~136.4 ± 3, 1 | Rb-Sr (rhyolite) | [68] | |
136.2 ± 2.9; 140.2 ± 1.6; 138.6 ± 1.4 |
U-Pb (zircon) | [69,70] | ||
Fluorite-bearing | Usugli (South Transbaikalia, Russia) | 120 – 110 ± 5 | K-Ar (muscovite) | [71] |
Kalangui (South Transbaikalia, Russia) | 114 – 112 | |||
Garsonui (South Transbaikalia, Russia) | 165 ± 9 | K-Ar (muscovite) | [31,57] | |
Abagaitui (South Transbaikalia, Russia) | 135 ± 6 | |||
Molybdenum-copper-porphyry | Zhireken (Eastern Transbaikalia, Russia) |
161.0 ± 1.6; 157.5 ± 2.0 | U-Pb (zircon) | [52,72,73] |
163 ± 1 | Re-Os (molybdenite) | |||
Shakhtama (Eastern Transbaikalia, Russia) |
160 – 157 | Re-Os (molybdenite) | ||
163 – 159, 160 – 153 | U-Pb (zircon) | |||
Bugdaya (Eastern Transbaikalia, Russia) |
136 ± 7 | K-Ar (beresites) | [57] | |
Caosiyao, (Xinghe, Inner Mongolia, China) |
128.6 ± 2.4; 150.9 ± 2.2 | Re-Os (molybdenite) | [29] | |
140.1 ± 1.7; 148.5 ± 0.9 | U-Pb (zircon) |
Metallogenic specialization of OMS | Typical ore clasters and districts | Age (Ma) | Dating method | References |
Gold-bearing | Aldan (South Yakutia, Russia) | 165 – 155, 145 – 140, 135 – 130 |
K-Ar (magmatites) | [54,55] |
Darasun (South Transbaikalia, Russia) | 160.5 ± 0.4 | Rb-Sr (granodio rite porphyry) | [56] | |
159.6 ± 1.5 | K-Ar (beresites) | |||
Balei (Transbaikalia, Russia) | 175 ± 6, 148 ± 6, 120 ± 5 | K-Ar (metasomatites) | [31,57,58] | |
Daqingshan (North China Craton (NCC)) | 239.8 ± 3.0 | Ar-Ar (sericite) |
[33] | |
Zhangjiakou (NCC) | 389 ± 1; 135.5 ± 0.4 | U-Pb (zircon) | ||
Yanshan (NCC) | 199 ± 2; | U-Pb (zircon) | ||
192 – 177 | Re-Os (molybdenite) | |||
Zhao-Ye (Jiaodong Peninsula, China) |
121.0 ± 2.0 | Ar-Ar (sericite) | ||
120.6 ± 0.9 | Rb-Sr (pyrite) | |||
159 ± 1; 116 – 132; 149 ± 5, 129 ± 1; 117 ± 3 | U-Pb (zircon) | |||
Platinum-bearing | Inagli (South Yakutia, Russia) | 145.8 ± 3.2; 142.4 ± 2.0; 133.4 ± 1; 133 – 128; |
Ar-Ar (clinopyroxenite) | [59,60] |
Chad (Khabarovsk district, Russia) | 123 ± 6; 113 ± 6; 107 ± 6 | 90Pt–4He (isoferroplatinum) |
[61,62,63] |
|
Konder (Khabarovsk district, Russia) | 124.9 ± 1.9 | U-Pb (baddeleytte) | ||
125.8 ± 3.8 | U-Pb (zircon) | |||
112 ± 7 | 90Pt-4He (isoferroplatinum) |
|||
129 ± 6 | 90Pt-4He (isoferroplatinum) | [64] | ||
Uranium-bearing | Elkon (South Yakutia, Russia) | 150 – 130 | K-Ar(magmatites) | [65,66] |
135 – 130 | Rb-Sr (granodiorite porphyry) | |||
Streltsovka (South Transbaikalia, Russia) | 178 – 154;150 – 138; | U-Pb (zircon), | [31,51] |
|
126 – 117 | Rb-Sr (rhyolites, granites) | |||
144 ± 5; 138 ± 5; 129 ± 5 | K-Ar (hydromicasite) | [57] | ||
Dornot (East Mongolia) | 172 – 168; 161 ± 7 170 – 160; 145 – 143; |
K-Ar (hydromicasite) | [31,51,67] | |
139 ± 2 | Rb-Sr (granites) | |||
138 – 135 | U-Pb (zircon) | |||
Guyuan-Duolung (Inshan-Liaohe, China) | 132.6 ± 8, 9~136.4 ± 3, 1 | Rb-Sr (rhyolite) | [68] | |
136.2 ± 2.9; 140.2 ± 1.6; 138.6 ± 1.4 |
U-Pb (zircon) | [69,70] | ||
Fluorite-bearing | Usugli (South Transbaikalia, Russia) | 120 – 110 ± 5 | K-Ar (muscovite) | [71] |
Kalangui (South Transbaikalia, Russia) | 114 – 112 | |||
Garsonui (South Transbaikalia, Russia) | 165 ± 9 | K-Ar (muscovite) | [31,57] | |
Abagaitui (South Transbaikalia, Russia) | 135 ± 6 | |||
Molybdenum-copper-porphyry | Zhireken (Eastern Transbaikalia, Russia) |
161.0 ± 1.6; 157.5 ± 2.0 | U-Pb (zircon) | [52,72,73] |
163 ± 1 | Re-Os (molybdenite) | |||
Shakhtama (Eastern Transbaikalia, Russia) |
160 – 157 | Re-Os (molybdenite) | ||
163 – 159, 160 – 153 | U-Pb (zircon) | |||
Bugdaya (Eastern Transbaikalia, Russia) |
136 ± 7 | K-Ar (beresites) | [57] | |
Caosiyao, (Xinghe, Inner Mongolia, China) |
128.6 ± 2.4; 150.9 ± 2.2 | Re-Os (molybdenite) | [29] | |
140.1 ± 1.7; 148.5 ± 0.9 | U-Pb (zircon) |