25 search results - page 1 / 5 » Implementing Synaptic Plasticity in a VLSI Spiking Neural Ne... |
IJCNN
2006
IEEE
14 years 2 months 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...
ISCAS
2006
IEEE
14 years 2 months ago
2006
IEEE
— 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...
SYNASC
2005
IEEE
14 years 2 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 ...
NECO
2007
13 years 8 months ago
2007
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
ICONIP
2008
13 years 10 months ago
2008
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...