Spikes: exploring the neural code
Spikes: exploring the neural code
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Real-time spiking neural network: an adaptive cerebellar model
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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Neurons communicate through spikes; their arrangement in different sequences generates the neural code. Spikes are transmitted between neurons via synapses; the mechanism underlying synaptic transmission involves numerous processes including neurotransmitter release and diffusion, postsynaptic receptor activation, and intrinsic electroresponsiveness. Based on available experimental data and theoretical considerations, we have developed a realistic model predicting the dynamics of neurotransmission at the mossy fiber – granule cell synapse of the cerebellum. The model permits systematic investigation of the multiple mechanisms regulating synaptic transmission and provides predictions on the role of the numerous factors driving synaptic plasticity. The model is also employed to quantify information transfer at the mossy fiber – granule cell synaptic relay. This work was funded in part by the EU SpikeForce project (IST-2001-35271 www.spikeforce.org).