Literature DB >> 26868042

Expanding perspectives on cognition in humans, animals, and machines.

Alex Gomez-Marin1, Zachary F Mainen2.   

Abstract

Over the past decade neuroscience has been attacking the problem of cognition with increasing vigor. Yet, what exactly is cognition, beyond a general signifier of anything seemingly complex the brain does? Here, we briefly review attempts to define, describe, explain, build, enhance and experience cognition. We highlight perspectives including psychology, molecular biology, computation, dynamical systems, machine learning, behavior and phenomenology. This survey of the landscape reveals not a clear target for explanation but a pluralistic and evolving scene with diverse opportunities for grounding future research. We argue that rather than getting to the bottom of it, over the next century, by deconstructing and redefining cognition, neuroscience will and should expand rather than merely reduce our concept of the mind.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26868042     DOI: 10.1016/j.conb.2016.01.011

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  5 in total

1.  Back to the Future of Quantitative Psychology and Measurement: Psychometrics in the Twenty-First Century.

Authors:  Pietro Cipresso; Jason C Immekus
Journal:  Front Psychol       Date:  2017-12-01

2.  Control blindness: Why people can make incorrect inferences about the intentions of others.

Authors:  Andrew B S Willett; Richard S Marken; Maximilian G Parker; Warren Mansell
Journal:  Atten Percept Psychophys       Date:  2017-04       Impact factor: 2.199

Review 3.  Reproducibility and replicability of rodent phenotyping in preclinical studies.

Authors:  Neri Kafkafi; Joseph Agassi; Elissa J Chesler; John C Crabbe; Wim E Crusio; David Eilam; Robert Gerlai; Ilan Golani; Alex Gomez-Marin; Ruth Heller; Fuad Iraqi; Iman Jaljuli; Natasha A Karp; Hugh Morgan; George Nicholson; Donald W Pfaff; S Helene Richter; Philip B Stark; Oliver Stiedl; Victoria Stodden; Lisa M Tarantino; Valter Tucci; William Valdar; Robert W Williams; Hanno Würbel; Yoav Benjamini
Journal:  Neurosci Biobehav Rev       Date:  2018-01-31       Impact factor: 9.052

4.  Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies.

Authors:  James A Reggia; Garrett E Katz; Gregory P Davis
Journal:  Front Robot AI       Date:  2018-01-26

5.  Noncanonical genomic imprinting in the monoamine system determines naturalistic foraging and brain-adrenal axis functions.

Authors:  Paul J Bonthuis; Susan Steinwand; Cornelia N Stacher Hörndli; Jared Emery; Wei-Chao Huang; Stephanie Kravitz; Elliott Ferris; Christopher Gregg
Journal:  Cell Rep       Date:  2022-03-08       Impact factor: 9.995

  5 in total

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