Neural coding

Results: 359



#Item
11Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗   Princeton University, Computer Science Department

Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
12Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

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Source URL: www.kyb.tuebingen.mpg.de

Language: English - Date: 2015-02-25 10:55:26
13SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience

SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience

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Source URL: www.aimsciences.org

Language: English - Date: 2012-06-23 07:34:46
14Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob

Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob

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Source URL: www.mackelab.org

Language: English - Date: 2016-08-04 15:02:45
15REVIEWS  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
16Spatiotemporal dynamics of the electrical network activity in the root apex E. Masia, M. Ciszakb, G. Stefanoa, L. Rennaa, E. Azzarelloa, C. Pandolfia, S. Mugnaia, F. Balusˇkac, F. T. Arecchib,d, and S. Mancusoa,1 aDepar

Spatiotemporal dynamics of the electrical network activity in the root apex E. Masia, M. Ciszakb, G. Stefanoa, L. Rennaa, E. Azzarelloa, C. Pandolfia, S. Mugnaia, F. Balusˇkac, F. T. Arecchib,d, and S. Mancusoa,1 aDepar

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Source URL: www.linv.org

Language: English - Date: 2014-10-28 14:04:01
17Jakob H Macke research center caesar Ludwig Erhard AlleeBonn http://www.mackelab.org

Jakob H Macke research center caesar Ludwig Erhard AlleeBonn http://www.mackelab.org

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Source URL: www.mackelab.org

Language: English - Date: 2016-08-04 15:02:44
18Bayesian 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
19What Makes Different Peopleʼs Representations Alike: Neural Similarity Space Solves the Problem of Across-subject fMRI Decoding Rajeev D. S. Raizada1 and Andrew C. Connolly2  Abstract

What Makes Different Peopleʼs Representations Alike: Neural Similarity Space Solves the Problem of Across-subject fMRI Decoding Rajeev D. S. Raizada1 and Andrew C. Connolly2 Abstract

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Source URL: www.bcs.rochester.edu

Language: English - Date: 2015-11-13 09:47:42
20Kognitionswissenschaft): 93–100  A simple cell model with dominating opponent inhibition for robust contrast detection Thorsten Hansen, Gregory Baratoff, Heiko Neumann Universit¨at Ulm, Fakult¨at f¨ur Inform

Kognitionswissenschaft): 93–100 A simple cell model with dominating opponent inhibition for robust contrast detection Thorsten Hansen, Gregory Baratoff, Heiko Neumann Universit¨at Ulm, Fakult¨at f¨ur Inform

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Source URL: www.allpsych.uni-giessen.de

Language: English - Date: 2007-12-21 03:33:11