2005 Special Issue: Metastability, instability, and state transition in neocortex

Authors:
Walter J. Freeman;Mark D. Holmes
Affiliations:
University of California at Berkeley, Berkeley, CA 94720, USA;University of Washington, Seattle, WA 98104, USA
Venue:
Neural Networks - 2005 Special issue: IJCNN 2005
Year:
2005

Citing 2
Cited 1

Modeling brain function—the world of attractor neural networks

Modeling brain function—the world of attractor neural networks
A Nonlinear Mapping for Data Structure Analysis

IEEE Transactions on Computers

A new approach to detect and study spatial-temporal intracranial EEG frames

Digital Signal Processing

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Abstract

Mesoscopic patterns of neural activity were sought in multichannel EEGs of rabbits that were trained to respond to conditioned stimuli (CSs) in visual, auditory and somatic modalities. Spatiotemporal patterns were sought of oscillations in the beta and gamma ranges. The techniques required for preprocessing EEGs in search of global patterns were diametrically opposed to those needed for localization of modular EEG signals. Frames were found in the form of intermittent spatial patterns of phase and amplitude modulation (AM and PM) of carrier waves in beta and gamma ranges that served to classify EEG frames with respect to CSs. A model based on the intentional action-perception cycle is proposed to complement the information processing model.