5 search results - page 1 / 1 » Hebbian spike-driven synaptic plasticity for learning patter... |
BC
2002
13 years 4 months ago
2002
Synaptic plasticity is believed to underlie the formation of appropriate patterns of connectivity that stabilize stimulus-selective reverberations in the cortex. Here we present a ...
NIPS
2004
13 years 6 months ago
2004
This paper explores the computational consequences of simultaneous intrinsic and synaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism ...
BC
2002
13 years 4 months ago
2002
Several formulations of correlation-based Hebbian learning are reviewed. On the presynaptic side, activity is described either by a firing rate or by presynaptic spike arrival. The...
IJON
2006
13 years 4 months ago
2006
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
NIPS
2007
13 years 6 months ago
2007
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...