New PDF release: Neuronal Dynamics: From Single Neurons to Networks and

By Wulfram Gerstner

ISBN-10: 1107060834

ISBN-13: 9781107060838

What occurs in our mind once we decide? What triggers a neuron to ship out a sign? what's the neural code? This textbook for complicated undergraduate and starting graduate scholars offers an intensive and up to date creation to the fields of computational and theoretical neuroscience. It covers classical subject matters, together with the Hodgkin-Huxley equations and Hopfield version, in addition to glossy advancements within the box akin to Generalized Linear versions and determination conception. options are brought utilizing transparent step by step factors compatible for readers with just a uncomplicated wisdom of differential equations and chances, and are richly illustrated via figures and worked-out examples. End-of-chapter summaries and classroom-tested routines make the publication excellent for classes or for self-study. The authors additionally provide tips to the literature and an intensive bibliography, on the way to turn out helpful to readers attracted to additional learn.

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Extra resources for Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

Sample text

At t = 20 ms the model is stimulated by a short current pulse (left arrow) so as to trigger an action potential. A second current pulse of the same amplitude applied at t = 35, 45, or 55 ms (subsequent arrows) is not sufficient to trigger a second action potential. 20 ms after the onset of the current step; see Fig. 10. If the step size is large enough, but not sufficient to cause sustained firing, a single spike can be generated. Note that in Fig. 10 the input current returns at 200 ms to the same value it had a hundred milliseconds before.

Since the amplitude of the current input depends on u0 , the response of the postsynaptic potential does so as well. 1. Example: Shunting inhibition The dependence of the postsynaptic response upon the momentary state of the neuron is most pronounced for inhibitory synapses. The reversal potential of inhibitory synapses Esyn is below, but usually close to the resting potential. Input spikes thus have hardly any effect on the membrane potential if the neuron is at rest; see Fig. 11a. However, if the membrane is depolarized, the very same input spikes evoke a larger inhibitory postsynaptic potential.

C) Same as (a), but for the original parameters found by Hodgkin and Huxley to describe the ion currents in the giant axon of the squid. (d) Gain function for the model in (c). a negative overshoot; see Fig. 6a. The negative overshoot, called hyperpolarizing spikeafterpotential, is due to the slow de-inactivation of the sodium channel, caused by the h-variable. 9) may also be studied for constant input I(t) = I0 for t > 0. 7 μA/cm2 , we observe regular spiking; see Fig. 7a. We may define a firing rate ν = 1/T where T is the interspike interval.

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Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition by Wulfram Gerstner


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