Daniel J. Amit
According to our database1, Daniel J. Amit authored at least 16 papers between 1989 and 2008.
Legend:Book In proceedings Article PhD thesis Other
Optimizing One-Shot Learning with Binary Synapses.
Neural Computation, 2008
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
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories.
Neural Computation, 2004
Spike-Driven Synaptic Dynamics Generating Working Memory States.
Neural Computation, 2003
Dynamics of a Plastic Cortical Network.
Proceedings of the Artificial Neural Networks, 2002
Oscillations and Irregular Emission in Networks of Linear Spiking Neurons.
Journal of Computational Neuroscience, 2001
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation.
Neural Computation, 2000
Neurophysiology of a VLSI Spiking Neural Network: LANN21.
IJCNN (3), 2000
Paradigmatic Working Memory (Attractor) Cell in IT Cortex.
Neural Computation, 1997
Learning in Neural Networks with Material Synapses.
Neural Computation, 1994
Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors.
Neural Computation, 1993
Learning Constraints in Storage Capacity in Networks with Dynamic Synapses.
Int. J. Neural Syst., 1992
Attractor neural networks and biological reality: associative memory and learning.
Future Generation Comp. Syst., 1990
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