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NIPS
2007
13 years 6 months ago
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...
IJCNN
2007
IEEE
13 years 11 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long
NIPS
2000
13 years 6 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
ESANN
2007
13 years 6 months ago
A supervised learning approach based on STDP and polychronization in spiking neuron networks
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Hélène Paugam-Moisy, Régis Ma...
ICANNGA
2007
Springer
143views Algorithms» more  ICANNGA 2007»
13 years 10 months ago
A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model’s performance for non-element...
Jan Wessnitzer, Barbara Webb, Darren Smith