Hierarchical models in the brain

K Friston - PLoS computational biology, 2008 - journals.plos.org
This paper describes a general model that subsumes many parametric models for
continuous data. The model comprises hidden layers of state-space or dynamic causal …

Laminar cortical dynamics of cognitive and motor working memory, sequence learning and performance: toward a unified theory of how the cerebral cortex works.

S Grossberg, LR Pearson - Psychological review, 2008 - psycnet.apa.org
How does the brain carry out working memory storage, categorization, and voluntary
performance of event sequences? The LIST PARSE neural model proposes an answer that …

Speaker normalization using cortical strip maps: a neural model for steady-state vowel categorization

H Ames, S Grossberg - The Journal of the Acoustical Society of …, 2008 - pubs.aip.org
Auditory signals of speech are speaker dependent, but representations of language
meaning are speaker independent. The transformation from speaker-dependent to speaker …

KInNeSS: A modular framework for computational neuroscience

M Versace, H Ames, J Léveillé, B Fortenberry… - Neuroinformatics, 2008 - Springer
Making use of very detailed neurophysiological, anatomical, and behavioral data to build
biologically-realistic computational models of animal behavior is often a difficult task. Until …

Selective attention model of moving objects

R Borisyuk, D Chik, Y Kazanovich - Artificial Neural Networks-ICANN, 2008 - Springer
Tracking moving objects is a vital visual task for the survival of an animal. We describe
oscillatory neural network models of visual attention with a central element that can track a …