Lectures in mathematical neuroscience
نویسنده
چکیده
Contents Lectures in mathematical neuroscience 1 Lecture 1. Single neuron models 3 1.1. Conductance–based models 3 1.2. Periodically forced neural oscillator 6 1.3. Integrate–and–fire models 13 Lecture 2. Synaptic and dendritic processing 23 2.1. Excitatory and inhibitory synapses 23 2.2. Kinetic model of a synapse 27 2.3. Dendritic filtering of synaptic inputs 31 2.4. Synaptic plasticity 34 Lecture 3. Firing rates, spike statistics and the neural code 45 3.
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تاریخ انتشار 2006