Attractor Dynamics in Feedforward Neural Networks [PDF]
We study the probabilistic generative models parameterized by feedforward neural networks. An attractor dynamics for probabilistic inference in these models is derived from a mean field approximation for large, layered sigmoidal networks. Fixed points of
Lawrence Saul, Michael I. Jordan
core
Brain Categorization: Learning, Attention, and Consciousness [PDF]
, 2005 How do humans and animals learn to recognize objects and events? Two classical views are that exemplars or prototypes are learned. A hybrid view is that a mixture, called rule-plus-exceptions, is learned. None of these models learn their categories.
Carpenter, Gail +2 more
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Finite time synchronization of memristor-based Cohen-Grossberg neural networks with mixed delays. [PDF]
PLoS One, 2017 Chen C, Li L, Li L, Peng H, Yang Y.
europepmc +1 more source
Toward Understanding the Brain Dynamics of Music: Learning and Conscious Performance of Lyrics and Melodies With Variable Rhythms and Beats. [PDF]
Front Syst Neurosci, 2022 Grossberg S.
europepmc +1 more source
Function projective synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays. [PDF]
Cogn Neurodyn, 2015 Abdurahman A, Jiang H, Rahman K.
europepmc +1 more source
Heteroclinic networks for brain dynamics. [PDF]
Front Netw Physiol, 2023 Meyer-Ortmanns H.
europepmc +1 more source
A Neural Pattern Generator that Exhibits Arousal-Dependant Human Gait Transitions [PDF]
, 1993 A neural pattern generator based upon a non-linear cooperative-competitive feedback neural network is presented. It can generate the two standard human gaits: the walk and the run.
Cohen, Michael A. +2 more
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The Laminar Organization of Visual Cortex: A Unified View of Development, Learning, and Grouping [PDF]
, 2000 Why are all sensory and cognitive neocortex organized into layered circuits? How do these layers organize circuits that form functional columns in cortical maps?
Grossberg, Stephen
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The stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays and reaction-diffusion terms. [PDF]
Cogn Neurodyn, 2015 Tan J, Li C, Huang T.
europepmc +1 more source
A Self-Organizing Neural Model of Motor Equivalent Reaching and Tool Use by a Multijoint Arm [PDF]
, 1992 This paper describes a self-organizing neural model for eye-hand coordination. Called the DIRECT model, it embodies a solution of the classical motor equivalence problem. Motor equivalence computations allow humans and other animals to flexibly employ an
Bullock, Daniel +2 more
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