# Daniel J. Amit

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^{1}, Daniel J. Amit## Timeline

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## Bibliography

2008

Optimizing One-Shot Learning with Binary Synapses.

Neural Computation, 2008

2006

Memory of Ordinal Number Categories in Macaque Monkeys.

J. Cognitive Neuroscience, 2006

Mean-field analysis of selective persistent activity in presence of short-term synaptic depression.

Journal of Computational Neuroscience, 2006

2004

Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories.

Neural Computation, 2004

2003

Spike-Driven Synaptic Dynamics Generating Working Memory States.

Neural Computation, 2003

2002

Dynamics of a Plastic Cortical Network.

Proceedings of the Artificial Neural Networks, 2002

2001

Oscillations and Irregular Emission in Networks of Linear Spiking Neurons.

Journal of Computational Neuroscience, 2001

2000

Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation.

Neural Computation, 2000

Neurophysiology of a VLSI Spiking Neural Network: LANN21.

IJCNN (3), 2000

1997

Paradigmatic Working Memory (Attractor) Cell in IT Cortex.

Neural Computation, 1997

1994

Learning in Neural Networks with Material Synapses.

Neural Computation, 1994

1993

Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors.

Neural Computation, 1993

1992

Learning Constraints in Storage Capacity in Networks with Dynamic Synapses.

Int. J. Neural Syst., 1992

1990

Attractor neural networks and biological reality: associative memory and learning.

Future Generation Comp. Syst., 1990

1989

Attractor Neural Networks and Biological Reality: Associative Memory and Learning.

Proceedings of the Intelligent Autonomous Systems 2, 1989

Modeling brain function: the world of attractor neural networks, 1st Edition.

Cambridge Univ. Press, ISBN: 0521421241, 1989