<--- Back to Details
First PageDocument Content
Computational neuroscience / Neural networks / Artificial neural networks / Neuroscience / Cybernetics / Nervous system / Spiking neural network / Neuron / Artificial neuron / Nervous system network models / GalvesLcherbach model
Date: 2015-12-18 06:55:15
Computational neuroscience
Neural networks
Artificial neural networks
Neuroscience
Cybernetics
Nervous system
Spiking neural network
Neuron
Artificial neuron
Nervous system network models
GalvesLcherbach model

Compositional Semantics of Spiking Neural P Systems Roberto Barbutia , Andrea Maggiolo-Schettinia, Paolo Milazzoa,∗, Simone Tinib a Dipartimento di Informatica, Universit` a di Pisa, Largo B. Pontecorvo 3, 56127 Pisa,

Add to Reading List

Source URL: pages.di.unipi.it

Download Document from Source Website

File Size: 235,66 KB

Share Document on Facebook

Similar Documents

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

DocID: 1vcJi - View Document

munich  Bernstein Center for Computational Neuroscience Munich

munich Bernstein Center for Computational Neuroscience Munich

DocID: 1vcv8 - View Document

Blending computational and experimental neuroscience

Blending computational and experimental neuroscience

DocID: 1v9kZ - View Document

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

DocID: 1v914 - View Document

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

DocID: 1uuia - View Document