The book of GENESIS (2nd ed.): exploring realistic neural models with the GEneral NEural SImulation System
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Which model to use for the liquid state machine?
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Self-organised criticality in a model of the rat somatosensory cortex
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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The model of mammalian cortical hypercolumn was simulated using liquid state machines built of simple Hodgkin-Huxley neurons. The influence of cell electrical parameters on the system dynamics was investigated. The systematic analysis of the hypercolumn separation ability in the function of time constants, cell membrane capacitance, resistance, Hodgkin-Huxley equilibrium potential and sodium and potassium channel conductances was performed. Optimal ranges of time constants for the most effective computational abilities of the model were estimated.