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» Self-organization using synaptic plasticity
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ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
14 years 20 hour ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri
ECAL
2001
Springer
13 years 10 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
ICONIP
2010
13 years 3 months ago
Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
Hideyuki Kato, Tohru Ikeguchi
NIPS
2007
13 years 7 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
BC
2002
133views more  BC 2002»
13 years 5 months ago
Cortical network reorganization guided by sensory input features
Abstract. Sensory experience alters the functional organization of cortical networks. Previous studies using behavioral training motivated by aversive or rewarding stimuli have dem...
Michael P. Kilgard, Pritesh K. Pandya, Navzer D. E...