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Nature Neuroscience|February 14, 2006
The tempotron: a neuron that learns spike timing-based decisionsRobert Gütig, Haim SompolinskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2002
Oscillations by symmetry breaking in homogeneous networks with electrical couplingYonatan Loewenstein, Haim SompolinskyNeuron|August 27, 2014
Sparseness and expansion in sensory representationsBaktash Babadi, Haim SompolinskyPlos Computational Biology|July 21, 2022
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamicsYu Hu, Haim SompolinskyNature Neuroscience|August 26, 2003
Temporal integration by calcium dynamics in a model neuronYonatan Loewenstein, Haim SompolinskyPlos One|March 4, 2014
Selectivity and sparseness in randomly connected balanced networksCengiz Pehlevan, Haim SompolinskyNeural Computation|February 15, 1996
Neural network models of perceptual learning of angle discriminationG Mato, H SompolinskyJournal of Bacteriology|May 1, 1972
Influence of magnesium and manganese on some biological and physical properties of tetracyclineD Sompolinsky, Z SamraPageof 258