2008 |
11 | EE | Sandro Romani,
Daniel J. Amit,
Yali Amit:
Optimizing One-Shot Learning with Binary Synapses.
Neural Computation 20(8): 1928-1950 (2008) |
2006 |
10 | EE | Sandro Romani,
Daniel J. Amit,
Gianluigi Mongillo:
Mean-field analysis of selective persistent activity in presence of short-term synaptic depression.
Journal of Computational Neuroscience 20(2): 201-217 (2006) |
2004 |
9 | EE | Emanuele Curti,
Gianluigi Mongillo,
Giancarlo La Camera,
Daniel J. Amit:
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories.
Neural Computation 16(12): 2597-2637 (2004) |
2003 |
8 | EE | Daniel J. Amit,
Gianluigi Mongillo:
Spike-Driven Synaptic Dynamics Generating Working Memory States.
Neural Computation 15(3): 565-596 (2003) |
2002 |
7 | EE | Gianluigi Mongillo,
Daniel J. Amit:
Dynamics of a Plastic Cortical Network.
ICANN 2002: 135-140 |
2001 |
6 | | Gianluigi Mongillo,
Daniel J. Amit:
Oscillations and Irregular Emission in Networks of Linear Spiking Neurons.
Journal of Computational Neuroscience 11(3): 249-261 (2001) |
2000 |
5 | EE | Stefano Fusi,
Paolo Del Giudice,
Daniel J. Amit:
Neurophysiology of a VLSI Spiking Neural Network: LANN21.
IJCNN (3) 2000: 121-126 |
4 | | Stefano Fusi,
Mario Annunziato,
Davide Badoni,
Andrea Salamon,
Daniel J. Amit:
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation.
Neural Computation 12(10): 2227-2258 (2000) |
1997 |
3 | EE | Daniel J. Amit,
Stefano Fusi,
Volodya Yakovlev:
Paradigmatic Working Memory (Attractor) Cell in IT Cortex.
Neural Computation 9(5): 1071-1092 (1997) |
1992 |
2 | EE | Stefano Fusi,
Daniel J. Amit:
Learning Constraints in Storage Capacity in Networks with Dynamic Synapses.
Int. J. Neural Syst. 3(Supplement): 3-11 (1992) |
1989 |
1 | | Daniel J. Amit:
Attractor Neural Networks and Biological Reality: Associative Memory and Learning.
IAS 1989: 35-50 |