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Exploring Cognition with Brain-Machine Interfaces

Lookup NU author(s): Dr Luke BashfordORCiD

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Abstract

© 2022 Annual Reviews Inc. All rights reserved.Traditional brain-machine interfaces decode cortical motor commands to control external devices. These commands are the product of higher-level cognitive processes, occurring across a network of brain areas, that integrate sensory information, plan upcoming motor actions, and monitor ongoing movements. We review cognitive signals recently discovered in the human posterior parietal cortex during neuroprosthetic clinical trials. These signals are consistent with small regions of cortex having a diverse role in cognitive aspects of movement control and body monitoring, including sensorimotor integration, planning, trajectory representation, somatosensation, action semantics, learning, and decision making. These variables are encoded within the same population of cells using structured representations that bind related sensory and motor variables, an architecture termed partially mixed selectivity. Diverse cognitive signals provide complementary information to traditional motor commands to enable more natural and intuitive control of external devices.


Publication metadata

Author(s): Andersen RA, Aflalo T, Bashford L, Bjanes D, Kellis S

Publication type: Review

Publication status: Published

Journal: Annual Review of Psychology

Year: 2022

Volume: 73

Pages: 131-158

Print publication date: 01/01/2022

Acceptance date: 02/04/2018

ISSN (print): 0066-4308

ISSN (electronic): 1545-2085

Publisher: Annual Reviews Inc.

URL: https://doi.org/10.1146/annurev-psych-030221-030214

DOI: 10.1146/annurev-psych-030221-030214

PubMed id: 34982594


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