Standout Papers

Neural potentials as stimuli for attractor neural networks 1983 2026 1997 2011 184
  1. Neural potentials as stimuli for attractor neural networks (1990)
    Daniel J. Amit, Giorgio Parisi et al. Network Computation in Neural Systems
  2. Asymptotic behavior of the "true" self-avoiding walk (1983)
    Daniel J. Amit, Giorgio Parisi et al. Physical review. B, Condensed matter

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Works of Daniel J. Amit being referenced

Mean-field analysis of selective persistent activity in presence of short-term synaptic depression
2006
Field Theory, The Renormalization Group and Critical Phenomena
1993
Neural potentials as stimuli for attractor neural networks
1990 StandoutNobel
Effective neurons and attractor neural networks in cortical environment
1992
Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain
1991
Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks
1991
Crossover at a bicritical point: Asymptotic behavior of a field theory with quadratic symmetry breaking
1978
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation
2000
Paradigmatic Working Memory (Attractor) Cell in IT Cortex
1997
Field Theory, the Renormalization Group, and Critical Phenomena
2005
First order transitions induced by fluctuations in general φ4-theories
1981
Kosterlitz-thouless transition and self-duality in three dimensions
1982
Effective neurons and attractor neural networks in cortical environment
1992
Field Theory, the Renormalization Group, and Critical Phenomena: Graphs to Computers
1978
Spin-glass models of neural networks
1985
Information storage in neural networks with low levels of activity
1987
Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors
1993
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
1985
Modeling Brain Function
1989
Statistical mechanics of neural networks near saturation
1987
Dynamics of a recurrent network of spiking neurons before and following learning
1997
The correlation function in Wilson's theory of phase transitions: Above and below the transition
1973
Impact of spatiotemporally correlated images on the structure of memory
2007
Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain
1991
Attractor neural networks with biological probe records
1990
The Hebbian paradigm reintegrated: Local reverberations as internal representations
1995
Learning in Neural Networks with Material Synapses
1994
Dynamics of a recurrent network of spiking neurons before and following learning
1997
Constraints on learning in dynamic synapses
1992
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