59 search results - page 3 / 12 » A spiking neuron model: applications and learning |
IJON
2000
13 years 7 months ago
2000
Harmonic analysis is applied to analyze the transmission of bandlimited signals via spike trains generated by a pair of leaky integrate-and-fire (LIF) model neurons organized in a...
NECO
2007
13 years 7 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
ESANN
2007
13 years 9 months ago
2007
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...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
IJCSS
2007
13 years 7 months ago
2007
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...