17 search results - page 2 / 4 » An implementation of reinforcement learning based on spike t... |
IJCNN
2006
IEEE
14 years 5 days ago
2006
IEEE
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
SYNASC
2005
IEEE
13 years 11 months ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
ICONIP
2007
13 years 7 months ago
2007
We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
IJON
2007
13 years 6 months ago
2007
This paper introduces a new model of a spiking neuron with active dendrites and dynamic synapses (ADDS). The neuron employs the dynamics of the synapses and the active properties ...
CONNECTION
2006
13 years 6 months ago
2006
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...