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» On the Simulation of Large Populations of Neurons
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IJON
2007
93views more  IJON 2007»
13 years 7 months ago
How much can we trust neural simulation strategies?
Despite a steady improvement of computational hardware, results of numerical simulation are still tightly bound to the simulation tool and strategy used, and may substantially var...
Michelle Rudolph, Alain Destexhe
NIPS
1998
13 years 9 months ago
Divisive Normalization, Line Attractor Networks and Ideal Observers
Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statisti...
Sophie Deneve, Alexandre Pouget, Peter E. Latham
ICCCI
2011
Springer
12 years 7 months ago
Modelling Trust for Communicating Agents: Agent-Based and Population-Based Perspectives
This paper presents an exploration of the differences between agent-based and population-based models for trust dynamics. This exploration is based on both a large variety of simu...
S. Waqar Jaffry, Jan Treur
IJON
2006
90views more  IJON 2006»
13 years 7 months ago
Adaptive sensory processing for efficient place coding
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
WSC
2007
13 years 10 months ago
Subset selection and optimization for selecting binomial systems applied to supersaturated design generation
The problem of finding the binomial population with the highest success probability is considered when the number of binomial populations is large. A new rigorous indifference zo...
Ning Zheng, Theodore Allen