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Neural Mechanisms for Interacting with a World Full of Action Choices

2010· review· en· 1,578 citations· W2118125647 on OpenAlex· 10.1146/annurev.neuro.051508.135409

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Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

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Opus teacher head0.090
GPT teacher head0.387
Teacher spread
0.297 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The neural bases of behavior are often discussed in terms of perceptual, cognitive, and motor stages, defined within an information processing framework that was originally inspired by models of human abstract problem solving. Here, we review a growing body of neurophysiological data that is difficult to reconcile with this influential theoretical perspective. As an alternative foundation for interpreting neural data, we consider frameworks borrowed from ethology, which emphasize the kinds of real-time interactive behaviors that animals have engaged in for millions of years. In particular, we discuss an ethologically-inspired view of interactive behavior as simultaneous processes that specify potential motor actions and select between them. We review how recent neurophysiological data from diverse cortical and subcortical regions appear more compatible with this parallel view than with the classical view of serial information processing stages.

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The record

Venue
Annual Review of Neuroscience
Topic
Neural dynamics and brain function
Field
Neuroscience
Canadian institutions
Université de Montréal
Funders
Canadian Institutes of Health Research
Keywords
NeurophysiologyPerceptionEthologyCognitive scienceNeuroscienceCognitionAction (physics)PsychologyPerspective (graphical)Information processingComputer scienceCognitive psychologyArtificial intelligenceBiology
Has abstract in OpenAlex
yes