Found 147 results
Author [ Title(Desc)] Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Safran M, Flanagin V, Borst A, Sompolinsky H.  2007.  Adaptation and information transmission in fly motion detection. J Neurophysiol. 98:3309–3320.PDF icon adaptation_and_information_transmission_in_fly_motion_detection.pdf (783.93 KB)
Borst A, Flanagin VL, Sompolinsky H.  2005.  Adaptation without parameter change: Dynamic gain control in motion detection. Proceedings of the National Academy of Sciences of the United States of America. 102:6172–6176.PDF icon borst-somp-05.pdf (432.23 KB)
Lee D., Rokni U., Sompolinsky H.  2000.  Algorithms for independent components analysis and higher order statistics.. in Advances in Neural Information Processing Systems 12. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA.. PDF icon lee-somp-99.pdf (74.72 KB)
Havlin S, Cowley RA, Sompolinsky H.  1982.  Anisotropic Polarization Fluctuations in KD2PO4-Type Crystals. Journal of Physics C 15, 6057.. PDF icon 0022-3719_15_29_017.pdf (468.01 KB)
Havlin S, Litov E, Sompolinsky H.  1975.  The Anomalous Temperature Dependence of the Protonic E- Mode in KDP-Type Crystals. Physicsl Letters A 53, 41..
Kleinfeld D, Sompolinsky H.  1989.  Associative Network Models for Central Pattern Generators. Methods in Neuronal Modeling: From Synapse to Networks, Koch C and Segev I, Eds., Ch. 7 (MIT Press, Cambridge, MA 1989). pp. 195-246.. PDF icon kleinfeld_assoc_network_models_cpg_1988.pdf (5.85 MB)
Kleinfeld D, Sompolinsky H.  1988.  Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators. Biophysical Journal. 54:1039–1051.
Kanter I, Sompolinsky H.  1987.  Associative recall of memory without errors. Physical Review. A. 35:380–392.PDF icon PhysRevA.35.380.pdf (723.52 KB)
Havlin S, Sompolinsky H.  1976.  Central E-Mode and Transverse Dynamical Properties of KDP-Type Crystals. Physics Letters A 57, 171.
Furstenberg A, Deouell L, Sompolinsky H.  2014.  Change of Intention in 'Picking' Situations. Surrounding Free Will. Volume of proceedings BQFWPDF icon Change of intention in picking situations20140123.pdf (586.42 KB)
Hansel D, Sompolinsky H.  1996.  Chaos and synchrony in a model of a hypercolumn in visual cortex. Journal of Computational Neuroscience. 3:7–34.PDF icon Chaos and synchrony in a model of a hypercolumn in visual cortex.pdf (2.31 MB)
van Vreeswijk C, Sompolinsky H.  1996.  Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science {(New} York, {N.Y.)}. 274:1724–1726.PDF icon Chaos in neuronal networks with balanced excitatory and inhibitory activity.pdf (817.73 KB)
Sompolinsky H, Crisanti Z, Sommers HJ.  1988.  Chaos in random neural networks. Physical Review Letters. 61:259–262.PDF icon PhysRevLett.61.259.pdf (205.48 KB)
van Vreeswijk C, Sompolinsky H.  1998.  Chaotic balanced state in a model of cortical circuits. Neural Computation. 10:1321–1371.PDF icon Chaotic balanced state in a model of cortical circuits.pdf (1.27 MB)
Havlin S, Sompolinsky H.  1982.  Cluster Approximation for Q-dependent Correlations in Magnetic and Ferroelectric Systems. Physical Review B 25, 5825.. PDF icon PhysRevB.25.5828.pdf (632.81 KB)
Golomb D, Hansel D, Shraiman B, Sompolinsky H.  1992.  Clustering in globally coupled phase oscillators. Physical Review. A. 45:3516–3530.PDF icon PhysRevA.45.3516.pdf (745.69 KB)
Ganguli S, Sompolinsky H.  2012.  Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Annual Review of Neuroscience. 35:485–508PDF icon sompolinsky_annurev-neuro-062111-150410.pdf (819.24 KB)
Sompolinsky H.  2014.  Computational neuroscience: beyond the local circuit. Current Opinion in Neurobiology 25:1-6. PDF icon Current Opinion in Neurobiology 2014 Sompolinsky.pdf (261.19 KB)
Sompolinsky H, Golomb D, Golomb D.  1991.  Cooperative dynamics in visual processing. Physical Review. A. 43:6990–7011.PDF icon PhysRevA.43.6990.pdf (1.01 MB)
Shamir M, Sompolinsky H.  2001.  Correlation codes in neuronal networks.. in Advances in Neural Information Processing Systems 14. Dietterich T., Becker S., and Ghahramani Z., Editors. MIT Press, Cambridge MA.. PDF icon shamir-som.pdf (95.31 KB)
Ginzburg I., Sompolinsky H.  1994.  Correlation Functions in a Large Stochastic Neural Network.. in Advances in Neural Information Processing Systems. Cowan J.D., Tesauro G. and Alspector J., editors, 6, 471-476..