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» Neural modeling and functional brain imaging: an overview
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IJON
2000
76views more  IJON 2000»
13 years 7 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina
ISCAS
2006
IEEE
122views Hardware» more  ISCAS 2006»
14 years 1 months ago
256-channel integrated neural interface and spatio-temporal signal processor
Abstract- We present an architecture and VLSI implemen- Various strategies in the analysis of spatio-temporal dynamtation of a distributed neural interface and spatio-temporal ics ...
J. N. Y. Aziz, Roman Genov, B. R. Bardakjian, M. D...
CORR
2004
Springer
128views Education» more  CORR 2004»
13 years 7 months ago
Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
Jackendoff (2002) posed four challenges that linguistic combinatoriality and rules of language present to theories of brain function. The essence of these problems is the question...
Ross W. Gayler
MICCAI
2010
Springer
13 years 5 months ago
Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF)
Abstract. A novel method for estimating a field of orientation distribution functions (ODF) from a given set of DW-MR images is presented. We model the ODF by Cartesian tensor basi...
Yonas T. Weldeselassie, Angelos Barmpoutis, M. Ste...
TNN
2010
205views Management» more  TNN 2010»
13 years 2 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu