Results 61 to 70 of about 36,106 (159)
Fluctuation-Dissipation Relations for Spiking Neurons
Physical Review Letters, 2022 Spontaneous fluctuations and stimulus response are essential features of neural functioning but how they are connected is poorly understood. I derive fluctuation-dissipation relations (FDR) between the spontaneous spike and voltage correlations and the firing rate susceptibility for i) the leaky integrate-and-fire (IF) model with white noise; ii) an IF
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Моделирование и анализ информационных систем, 2009 In this paper we present a corrected version of the theorem from the article "A Correction For Period Of Oscillation In The Model Of Spiking Neuron", in which a new first-order estimation for the oscillation period in the difference-differential model of
O. A. Dunaeva, M. L. Machin
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Independent Component Analysis in Spiking Neurons
PLoS Computational Biology, 2010 Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such computation.
Cristina Savin +2 more
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Bio-Inspired Design of Superconducting Spiking Neuron and Synapse. [PDF]
Nanomaterials (Basel), 2023 Schegolev AE +4 more
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PLoS Computational Biology, 2019 Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without frequency ...
Siva Venkadesh +4 more
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Spike timing precision of neuronal circuits
Journal of Computational Neuroscience, 2018 Spike timing is believed to be a key factor in sensory information encoding and computations performed by the neurons and neuronal circuits. However, the considerable noise and variability, arising from the inherently stochastic mechanisms that exist in the neurons and the synapses, degrade spike timing precision.
Deniz Kilinç, Alper Demir 0001
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Programming Molecular Systems To Emulate a Learning Spiking Neuron. [PDF]
ACS Synth Biol, 2022 Fil J, Dalchau N, Chu D.
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Entropy of Neuronal Spike Patterns
EntropyNeuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. Entropy measures offer a quantitative framework to assess the variability and information content of these spike patterns. By quantifying the uncertainty and informational content of neuronal patterns, entropy measures provide ...
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Voltage-Time Transformation Model for Threshold Switching Spiking Neuron Based on Nucleation Theory. [PDF]
Front Neurosci, 2022 Yap SM, Wang IT, Wu MH, Hou TH.
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SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory. [PDF]
Front Neurosci, 2022 Yang S +6 more
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