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Haim Sompolinsky
2010 – today
- 2012
[j12]Uri Rokni, Haim Sompolinsky: How the Brain Generates Movement. Neural Computation 24(2): 289-331 (2012)- 2011
- [j11]Henry Markram, Karlheinz Meier, Thomas Lippert, Sten Grillner, Richard S. Frackowiak, Stanislas Dehaene, Alois Knoll, Haim Sompolinsky, Kris Verstreken, Javier DeFelipe, Seth Grant, Jean-Pierre Changeux, Alois Saria: Introducing the Human Brain Project. Procedia CS 7: 39-42 (2011)
- 2010
- [c11]Surya Ganguli, Haim Sompolinsky: Short-term memory in neuronal networks through dynamical compressed sensing. NIPS 2010: 667-675
- [c10]Kanaka Rajan, L. Abbott, Haim Sompolinsky: Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics. NIPS 2010: 1975-1983
2000 – 2009
- 2009
- [j10]Yoram Burak, Sam Lewallen, Haim Sompolinsky: Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons. Neural Computation 21(8): 2269-2308 (2009)
- 2006
- [j9]Maoz Shamir, Haim Sompolinsky: Implications of Neuronal Diversity on Population Coding. Neural Computation 18(8): 1951-1986 (2006)
- 2004
- [j8]Maoz Shamir, Haim Sompolinsky: Nonlinear Population Codes. Neural Computation 16(6): 1105-1136 (2004)
- 2003
- [j7]Oren Shriki, David Hansel, Haim Sompolinsky: Rate Models for Conductance-Based Cortical Neuronal Networks. Neural Computation 15(8): 1809-1841 (2003)
- 2001
- [c9]
- 2000
- [c8]Oren Shriki, Haim Sompolinsky, Daniel D. Lee: An Information Maximization Approach to Overcomplete and Recurrent Representations. NIPS 2000: 612-618
1990 – 1999
- 1999
- [c7]Daniel D. Lee, Uri Rokni, Haim Sompolinsky: Algorithms for Independent Components Analysis and Higher Order Statistics. NIPS 1999: 491-497
- 1998
- [j6]Carl van Vreeswijk, Haim Sompolinsky: Chaotic Balanced State in a Model Of Cortical Circuits. Neural Computation 10(6): 1321-1371 (1998)
- [c6]Hyoungsoo Yoon, Haim Sompolinsky: The Effect of Correlations on the Fisher Information of Population Codes. NIPS 1998: 167-173
- [c5]Daniel D. Lee, Haim Sompolinsky: Learning a Continuous Hidden Variable Model for Binary Data. NIPS 1998: 515-521
- 1997
- [j5]Rani Ben-Yishai, David Hansel, Haim Sompolinsky: Traveling Waves and the Processing of Weakly Tuned Inputs in a Cortical Network Module. Journal of Computational Neuroscience 4(1): 57-77 (1997)
- 1996
- [j4]Germán Mato, Haim Sompolinsky: Neural network models of perceptual learning of angle discrimination. Neural Computation 8(2): 270-299 (1996)
- 1994
- [j3]Haim Sompolinsky, Michail Tsodyks: Segmentation by a Network of Oscillators with Stored Memories. Neural Computation 6(4): 642-657 (1994)
- [c4]N. Barkai, H. Sebastian Seung, Haim Sompolinsky: On-line Learning of Dichotomies. NIPS 1994: 303-310
- 1993
- [j2]E. R. Grannan, D. Kleinfeld, Haim Sompolinsky: Stimulus-Dependent Synchronization of Neuronal Assemblies. Neural Computation 5(4): 550-569 (1993)
- [c3]Iris Ginzburg, Haim Sompolinsky: Correlation Functions in a Large Stochastic Network. NIPS 1993: 471-476
- 1992
- [j1]Haim Sompolinsky, Michail Tsodyks: Processing of Sensory Information by a Network of Oscillators with Memory. Int. J. Neural Syst. 3(Supplement): 51-56 (1992)
- [c2]
- 1991
- [c1]H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby: Learning Curves in Large Neural Networks. COLT 1991: 112-127
Coauthor Index
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last updated on 2012-12-02 20:34 CET by the dblp team