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2014 Volume 11, Issue 1

A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
Aniello Buonocore,  Luigia Caputo,  Enrica Pirozzi,  Maria Francesca Carfora
2014, Volume 11, Issue 1: 1-10. doi: 10.3934/mbe.2014.11.1
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Diffusion approximation of neuronal models revisited
Jakub Cupera
2014, Volume 11, Issue 1: 11-25. doi: 10.3934/mbe.2014.11.11
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Cross nearest-spike interval based method to measure synchrony dynamics
Aldana M. González Montoro,  Ricardo Cao,  Christel Faes,  Geert Molenberghs,  Nelson Espinosa,  Javier Cudeiro,  Jorge Mariño
2014, Volume 11, Issue 1: 27-48. doi: 10.3934/mbe.2014.11.27
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Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation
Hideaki Kim,  Shigeru Shinomoto
2014, Volume 11, Issue 1: 49-62. doi: 10.3934/mbe.2014.11.49
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The effect of interspike interval statistics on the information gainunder the rate coding hypothesis
Shinsuke Koyama,  Lubomir Kostal
2014, Volume 11, Issue 1: 63-80. doi: 10.3934/mbe.2014.11.63
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Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness
Kseniia Kravchuk,  Alexander Vidybida
2014, Volume 11, Issue 1: 81-104. doi: 10.3934/mbe.2014.11.81
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Fano factor estimation
Kamil Rajdl,  Petr Lansky
2014, Volume 11, Issue 1: 105-123. doi: 10.3934/mbe.2014.11.105
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Generation of slow phase-locked oscillation and variability of the interspike intervals in globally coupled neuronal oscillators
Ryotaro Tsuneki,  Shinji Doi,  Junko Inoue
2014, Volume 11, Issue 1: 125-138. doi: 10.3934/mbe.2014.11.125
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Structural phase transitions in neural networks
Tatyana S. Turova
2014, Volume 11, Issue 1: 139-148. doi: 10.3934/mbe.2014.11.139
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Network inference with hidden units
Joanna Tyrcha,  John Hertz
2014, Volume 11, Issue 1: 149-165. doi: 10.3934/mbe.2014.11.149
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Preface
Susanne Ditlevsen,  Petr Lansky
2014, Volume 11, Issue 1: i-ii. doi: 10.3934/mbe.2014.11.1i
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Mathematical Biosciences and Engineering
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