Transition-state theory for integrate-and-fire neurons
نویسندگان
چکیده
منابع مشابه
Integrate and Fire Neurons
SpikeNET is a simulator for modeling large networks of asynchronously spiking neurons. It uses simple integrate-and-fire neurons which undergo step-like changes in membrane potential when synaptic inputs arrive. If a threshold is exceeded, the potential is reset and the neuron added to a list to be propagated on the next time step. Using such spike lists greatly reduces the computations associa...
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This paper addresses the following question: ‘‘What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?’’ The search for answers to that question has been tackled in two steps: (1) we incorporated into an integrate-and-fire (IAF) neuron model those aspects of neuronal physiology that can influence cross-correlated activity; (2) we evolv...
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Mesoscopical, mathematical descriptions of dynamics of populations of spiking neurons are getting increasingly important for the understanding of large-scale processes in the brain using simulations. In our previous work, integral equation formulations for population dynamics have been derived for a special type of spiking neurons. For IntegrateandFire type neurons , these formulations were onl...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2010
ISSN: 1662-453X
DOI: 10.3389/conf.fnins.2010.03.00197