Biological neuron model

Results: 107



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14.2   Neuromorphic Architectures for Spiking Deep Neural Networks

4.2 Neuromorphic Architectures for Spiking Deep Neural Networks

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Source URL: ncs.ethz.ch

Language: English - Date: 2016-01-10 15:53:18
2LETTER  Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

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Source URL: fias.uni-frankfurt.de

Language: English - Date: 2008-09-09 03:37:37
3<Vorname Nachname [et. al.]>(Hrsg.): <Buchtitel>, Lecture Notes in Informatics (LNI), Gesellschaft f¨ur Informatik, Bonn <Jahr> 1 NESTML: a modeling language for spiking neurons Dimitri Plotnikov1, Bernhard Rumpe1 , Ing

(Hrsg.): , Lecture Notes in Informatics (LNI), Gesellschaft f¨ur Informatik, Bonn 1 NESTML: a modeling language for spiking neurons Dimitri Plotnikov1, Bernhard Rumpe1 , Ing

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Source URL: www.nest-initiative.org

Language: English - Date: 2016-04-05 09:12:37
4Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:13
5REVIEWS  The honeybee as a model for understanding the basis of cognition Randolf Menzel

REVIEWS The honeybee as a model for understanding the basis of cognition Randolf Menzel

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Source URL: de.institut-fuer-bienenkunde.de

Language: English - Date: 2015-06-15 07:01:51
6Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:18
7Signatures of criticality arise in simple neural population models with correlations Marcel Nonnenmacher1,2,3* , Christian Behrens3,4 , Philipp Berens3,4,5,6 , Matthias Bethge2,3,4 , Jakob H. Macke1,2,3* 1 research cente

Signatures of criticality arise in simple neural population models with correlations Marcel Nonnenmacher1,2,3* , Christian Behrens3,4 , Philipp Berens3,4,5,6 , Matthias Bethge2,3,4 , Jakob H. Macke1,2,3* 1 research cente

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Source URL: www.mackelab.org

Language: English - Date: 2016-08-04 15:02:45
8Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Buesing¤*, Johannes Bill, Bernhard Nessler, Wolfgang Maass Institute for Theoretical Computer Science, Graz U

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Buesing¤*, Johannes Bill, Bernhard Nessler, Wolfgang Maass Institute for Theoretical Computer Science, Graz U

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:17
9a r t ic l e s  Disentangling the functional consequences of the connectivity between optic-flow processing neurons  © 2012 Nature America, Inc. All rights reserved.

a r t ic l e s Disentangling the functional consequences of the connectivity between optic-flow processing neurons © 2012 Nature America, Inc. All rights reserved.

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Source URL: www.machenslab.org

Language: English - Date: 2012-02-17 08:49:06
10Spiking Neural Networks Introduction 3  v(t) (mV)

Spiking Neural Networks Introduction 3 v(t) (mV)

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Source URL: www.inrialpes.fr

Language: English - Date: 2008-11-13 06:07:09