Haim Sompolinsky
Researcher Next ID · RN-021005
Researcher · Neuroscience
Brookline, Israel
- Works count
- 264
- Citation count
- 29,349
- H-index
- 80
- i10-index
- 156
Research interests
Publications
Optimal Degrees of Synaptic Connectivity
Neuron · 2017 · https://doi.org/10.1016/j.neuron.2017.01.030
From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response
Cell · 2016 · https://doi.org/10.1016/j.cell.2016.10.019
Memory traces in dynamical systems
Proceedings of the National Academy of Sciences · 2008 · https://doi.org/10.1073/pnas.0804451105
The tempotron: a neuron that learns spike timing–based decisions
Nature Neuroscience · 2006 · https://doi.org/10.1038/nn1643
Bistability of cerebellar Purkinje cells modulated by sensory stimulation
Nature Neuroscience · 2005 · https://doi.org/10.1038/nn1393
Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity
Journal of Neuroscience · 2003 · https://doi.org/10.1523/jneurosci.23-09-03697.2003
Population coding in neuronal systems with correlated noise
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001 · https://doi.org/10.1103/physreve.64.051904
Chaotic Balanced State in a Model of Cortical Circuits
Neural Computation · 1998 · https://doi.org/10.1162/089976698300017214
Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity
Science · 1996 · https://doi.org/10.1126/science.274.5293.1724
Theory of orientation tuning in visual cortex.
Proceedings of the National Academy of Sciences · 1995 · https://doi.org/10.1073/pnas.92.9.3844
Simple models for reading neuronal population codes.
Proceedings of the National Academy of Sciences · 1993 · https://doi.org/10.1073/pnas.90.22.10749
Statistical mechanics of learning from examples
Physical Review A · 1992 · https://doi.org/10.1103/physreva.45.6056
Query by committee
Journal · 1992 · https://doi.org/10.1145/130385.130417
Synchronization and computation in a chaotic neural network
Physical Review Letters · 1992 · https://doi.org/10.1103/physrevlett.68.718
Chaos in Random Neural Networks
Physical Review Letters · 1988 · https://doi.org/10.1103/physrevlett.61.259
Spectrum of Large Random Asymmetric Matrices
Physical Review Letters · 1988 · https://doi.org/10.1103/physrevlett.60.1895
Statistical mechanics of neural networks near saturation
Annals of Physics · 1987 · https://doi.org/10.1016/0003-4916(87)90092-3
Associative recall of memory without errors
Physical Review A · 1987 · https://doi.org/10.1103/physreva.35.380
Information storage in neural networks with low levels of activity
Physical Review A · 1987 · https://doi.org/10.1103/physreva.35.2293
Temporal Association in Asymmetric Neural Networks
Physical Review Letters · 1986 · https://doi.org/10.1103/physrevlett.57.2861
Spin-glass models of neural networks
Physical Review A · 1985 · https://doi.org/10.1103/physreva.32.1007
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
Physical Review Letters · 1985 · https://doi.org/10.1103/physrevlett.55.1530
Mean-field theory of the Potts glass
Physical Review Letters · 1985 · https://doi.org/10.1103/physrevlett.55.304
Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses
Physical review. B, Condensed matter · 1982 · https://doi.org/10.1103/physrevb.25.6860
Time-Dependent Order Parameters in Spin-Glasses
Physical Review Letters · 1981 · https://doi.org/10.1103/physrevlett.47.935
Current projects
No projects listed.