GERSTNER KISTLER SPIKING NEURON MODELS PDF

Spiking Neuron Models. Single Neurons, Populations, Plasticity. Wulfram Gerstner and Werner M. Kistler. Cambridge University Press, Wulfram Gerstner, École Polytechnique Fédérale de Lausanne, Werner M. Kistler, Erasmus Universiteit Rotterdam. Publisher: Cambridge University Press. Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner, The spike response model: a framework to predict neuronal spike trains, Proceedings of the joint.

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How can we understand information transmission by neurons? Jakabosky is currently reading it Heuron 06, Marco marked it as to-read Dec 16, Vilde Ung marked it as to-read Apr 17, Laurenti Arnault rated it really liked it Jul 07, These questions are addressed in this introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks.

Spiking Neuron Models Single Neurons, Populations, Plasticity

Wish it had more clear examples though. Liquid Mark A Miodownik Inbunden. Thanks for telling us about the problem. Abdullah Chami marked it as to-read Oct 09, RAM is currently reading it Aug 31, Want to Read saving…. Neuronal Dynamics Wulfram Gerstner Inbunden. Sipking introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks.

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Refresh and try again. Jeff Sprenger rated it really liked it Jul 16, The authors formulate the theoretical concepts clearly without many mathematical details. Greg marked it as to-read Jun 08, Steve M Potter added it Nov 09, Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes.

And, vice versa, how does the spike activity influence the connectivity pattern? Juk marked it as to-read Jeuron 18, Hajer Ahmed added it Mar 16, The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling.

Teaching Spiking Neuron Models

Michael Dubakov marked it as to-read Oct 01, Apr 13, Jacob Kanev rated it it was amazing. Really interesting introduction to spiking neuron models.

Nitin CR added it Oct 25, S marked it as to-read Feb 25, Mar 25, Angel Arturo rated it really liked it Shelves: How does the network connectivity determine the activity patterns? R Arnaud rated it really liked it Oct 07, Doctora Sue marked it as to-read Aug 17, Ben Lackey rated it really spikig it Aug 10, What happens if thousands of neurons are coupled together in a seemingly random network?

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Emily added it Mar 22, Betap rated it really liked it Oct 22, The text is enhanced by many worked examples and illustrations. Very good reference book for neuron models.

Rafael Delalibera marked it as to-read Feb 17, No prior knowledge beyond undergraduate mathematics is required.