- Convergence of stochastic learning in perceptrons with binary synapses Walter Senn and Stefano Fusi*
- LETTER Communicated by Carl van Vreeswijk Collective Behavior of Networks with Linear (VLSI)
- 310 nature neuroscience volume 1 no 4 august 1998 Most of us can remember the next melody on an album once the
- Noise based memories Daniel Ben Dayan Rubin1
- Network: Computation in Neural Systems June/September 2005; 16(2/3): 285300
- STOCHASTIC SYNAPTIC PLASTICITY IN DETERMINISTIC aVLSI NETWORKS OF
- E-mail address: fusi@cns.unibe.ch (S. Fusi). Neurocomputing 38}40 (2001) 1223}1228
- Spike-based learning in VLSI networks of integrate-and-fire neurons
- The importance of neural diversity in complex cognitive tasks Mattia Rigotti1
- Neuron, Volume 54 Supplemental Data
- A Neural Circuit Model of Flexible Sensorimotor Mapping: Learning
- Limits on the memory storage capacity of bounded synapses
- Network: Comput. Neural Syst. 9 (1998) 123152. Printed in the UK PII: S0954-898X(98)82605-5 Slow stochastic Hebbian learning of classes of stimuli in a
- Mechanisms for the formation of neural representations of abstract rules
- ARTICLE Communicated by Misha Tsodyks Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI
- LETTER Communicated by Wulfram Gerstner Learning Real-World Stimuli in a Neural Network
- Abstract. Synaptic plasticity is believed to underlie the formation of appropriate patterns of connectivity that
- Forming classes by stimulus frequency: Behavior and theory
- Behavioral/Systems/Cognitive Climbing Neuronal Activity as an Event-Based Cortical
- Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In VivoLike Input Currents
- Communicatedby David Willshaw Learning in Neural Networks with Material Synapses
- Biol Cybern (2006) 94: 351365 DOI 10.1007/s00422-006-0054-z
- Neuron, Vol. 45, 599611, February 17, Copyright 2005 by Elsevier Inc. DOI 10.1016/j.neuron.2005.02.001 Cascade Models of Synaptically Stored Memories
- Learning attractors in an asynchronous, stochastic electronic
- Attractor dynamics in an electronic neural Paolo Del Giudice1 and Stefano Fusi2
- Storing sparse random patterns with cascade synapses Daniel D. Ben Dayan Rubin a
- Neural networks: function and learning in theory and Stefano Fusi
- Modeling Networks with VLSI (linear) Integrate-and-Fire Neurons
- IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 14, NO. 5, SEPTEMBER 2003 1297 A VLSI Recurrent Network of Integrate-and-Fire
- LETTER Communicated by Bard Ermentrout Minimal Models of Adapted Neuronal Response to In
- Neurocomputing 5860 (2004) 321326 www.elsevier.com/locate/neucom
- COSYNE 2005 Meeting -Abstract Learning and forgetting visuo-motor
- Neurophysiology of a VLSI spiking neural network: LANN21
- Prototype extraction in material attractor neural network with stochastic dynamic learning
- Eluding oblivion with smart stochastic selection of synaptic updates Stefano Fusia
- LETTER Communicated by Misha Tsodyks Learning Only When Necessary: Better Memories of Correlated
- A VLSI spike-driven dynamic synapse which learns only when necessary
- Communicated by Mikhail Tsodyks Paradigmatic Working Memory (Attractor) Cell in IT Cortex
- Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses
- Event driven transitions between attractors in spiking networks Maurizio Mattia1,2
