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IJON
2006
77views more  IJON 2006»
13 years 7 months ago
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduar...
JCNS
2006
69views more  JCNS 2006»
13 years 7 months ago
Effects of stimulus transformations on estimates of sensory neuron selectivity
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
Alexander G. Dimitrov, Tomás Gedeon
IJON
2010
127views more  IJON 2010»
13 years 6 months ago
Oscillation in a network model of neocortex
A basic understanding of the relationship between activity of individual neurons and macroscopic electrical activity of local field potentials or electroencephalogram (EEG) may pro...
Jennifer Dwyer, Hyong Lee, Amber Martell, Rick L. ...
TNN
1998
112views more  TNN 1998»
13 years 7 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
EUROPAR
2007
Springer
13 years 11 months ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...