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» Spike-timing-dependent plasticity in small-world networks
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EVOW
2009
Springer
16 years 25 days ago
Hearing Thinking
This paper describes early experiments, which attempt to reconfigure the sound of a breath using a network of artificial spiking cortical neurons. The connectivity of the network e...
Jane Grant, John Matthias, Tim Hodgson, Eduardo Re...
142
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IJCNN
2007
IEEE
16 years 10 days 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
IJCNN
2006
IEEE
16 years 1 days ago
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
— 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...
Johannes Schemmel, Andreas Grübl, Karlheinz M...
ESANN
2007
15 years 7 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...
IWANN
2007
Springer
16 years 5 days ago
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology
This paper presents configuration methods for an existing neuromorphic hardware and shows first experimental results. The utilized mixed-signal VLSI1 device implements a highly a...
Daniel Brüderle, Andreas Grübl, Karlhein...