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Haim Sompolinsky

Showing results (11-20 of 66) with videos related to

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Physical Review. E|September 16, 2022
Soft-margin classification of object manifoldsUri Cohen, Haim Sompolinsky
Nature Neuroscience|February 14, 2006
The tempotron: a neuron that learns spike timing-based decisionsRobert Gütig, Haim Sompolinsky
Plos Biology|July 8, 2009
Time-warp-invariant neuronal processingRobert Gütig, Haim Sompolinsky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2002
Oscillations by symmetry breaking in homogeneous networks with electrical couplingYonatan Loewenstein, Haim Sompolinsky
Neural Computation|October 26, 2011
How the brain generates movementUri Rokni, Haim Sompolinsky
Neuron|August 27, 2014
Sparseness and expansion in sensory representationsBaktash Babadi, Haim Sompolinsky
Plos Computational Biology|July 21, 2022
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamicsYu Hu, Haim Sompolinsky
Nature Neuroscience|August 26, 2003
Temporal integration by calcium dynamics in a model neuronYonatan Loewenstein, Haim Sompolinsky
Plos One|March 4, 2014
Selectivity and sparseness in randomly connected balanced networksCengiz Pehlevan, Haim Sompolinsky
Plos Computational Biology|December 14, 2018
Coherent chaos in a recurrent neural network with structured connectivityItamar Daniel Landau, Haim Sompolinsky
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Physical Review. E|September 16, 2022
Soft-margin classification of object manifoldsUri Cohen, Haim Sompolinsky
Nature Neuroscience|February 14, 2006
The tempotron: a neuron that learns spike timing-based decisionsRobert Gütig, Haim Sompolinsky
Plos Biology|July 8, 2009
Time-warp-invariant neuronal processingRobert Gütig, Haim Sompolinsky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2002
Oscillations by symmetry breaking in homogeneous networks with electrical couplingYonatan Loewenstein, Haim Sompolinsky
Neural Computation|October 26, 2011
How the brain generates movementUri Rokni, Haim Sompolinsky
Neuron|August 27, 2014
Sparseness and expansion in sensory representationsBaktash Babadi, Haim Sompolinsky
Plos Computational Biology|July 21, 2022
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamicsYu Hu, Haim Sompolinsky
Nature Neuroscience|August 26, 2003
Temporal integration by calcium dynamics in a model neuronYonatan Loewenstein, Haim Sompolinsky
Plos One|March 4, 2014
Selectivity and sparseness in randomly connected balanced networksCengiz Pehlevan, Haim Sompolinsky
Plos Computational Biology|December 14, 2018
Coherent chaos in a recurrent neural network with structured connectivityItamar Daniel Landau, Haim Sompolinsky
Pageof 7