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NECO
2007
108views more  NECO 2007»
13 years 7 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
AISS
2010
107views more  AISS 2010»
13 years 5 months ago
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram
In clinical diagnosis process of epilepsy, the physicians rely on tedious visual screening of long time recorded electroencephalograms (EEG) for detection and localization of impo...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
12 years 11 months ago
A programmable axonal propagation delay circuit for time-delay spiking neural networks
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...
ESANN
2003
13 years 9 months ago
RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures
: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...
Raul Cristian Muresan
ICANN
1997
Springer
13 years 11 months ago
On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN
: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learn...
Ulrich Roth, Axel Jahnke, Heinrich Klar