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» Modeling spiking neural networks
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 10 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ESANN
2003
13 years 11 months ago
An event-driven framework for the simulation of networks of spiking neurons
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
Olivier Rochel, Dominique Martinez
TNN
2011
126views more  TNN 2011»
13 years 5 months ago
Video Time Encoding Machines
—We investigate architectures for time encoding and time decoding of visual stimuli such as natural and synthetic video streams (movies, animation). The architecture for time enc...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
IJCNN
2007
IEEE
14 years 4 months ago
Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit
—The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35µm CMOS technology. The fir...
Jayawan H. B. Wijekoon, Piotr Dudek
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
14 years 2 months ago
The parabigeminal nucleus as a recursive estimator
— The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to enco...
Rui Ma, Todd P. Coleman, Joseph G. Malpeli