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» Discovering Cortical Algorithms
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IJON
2007
93views more  IJON 2007»
13 years 7 months ago
Development of multi-cluster cortical networks by time windows for spatial growth
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
Marcus Kaiser, Claus C. Hilgetag
MICCAI
2002
Springer
14 years 8 months ago
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
Kilian M. Pohl, William M. Wells III, Alexandre Gu...
IJON
2002
67views more  IJON 2002»
13 years 7 months ago
Test of spike-sorting algorithms on the basis of simulated network data
: Results of spike sorting algorithms are usually compared against recorded signals which themselves underly interpretations, distortions and errors. Our approach is to provide and...
Kerstin M. L. Menne, Andre Folkers, Thomas Malina,...
ESANN
1998
13 years 9 months ago
A self-organising neural network for modelling cortical development
This paper presents a novel self-organising neural network. It has been developed for use as a simpli ed model of cortical development. Unlike many other models of topological map...
Michael W. Spratling, Gillian Hayes
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
14 years 1 months ago
Self-organized cortical map formation by guiding connections
We describe an algorithm for self-organizing connections from a source array to a target array of neurons that is inspired by neural growth cone guidance. Each source neuron proje...
Stanley Y. M. Lam, Bertram Emil Shi, Kwabena Boahe...