Literature DB >> 21881941

The convergent evolution of neural substrates for cognition.

Onur Güntürkün1.   

Abstract

This review describes a case of convergence in the evolution of brain and cognition. Both mammals and birds can organize their behavior flexibly over time and evolved similar cognitive skills. The avian forebrain displays no lamination that corresponds to the mammalian neocortex; hence, lamination does not seem to be a requirement for higher cognitive functions. In mammals, executive functions are associated with the prefrontal cortex. The corresponding structure in birds is the nidopallium caudolaterale. Anatomic, neurochemical, electrophysiologic and behavioral studies show these structures to be highly similar, but not homologous. Thus, despite the presence (mammals) or the absence (birds) of a laminated forebrain, 'prefrontal' areas in mammals and birds converged over evolutionary time into a highly similar neural architecture. The neuroarchitectonic degrees of freedom to create different neural architectures that generate identical prefrontal functions seem to be very limited.

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Year:  2011        PMID: 21881941     DOI: 10.1007/s00426-011-0377-9

Source DB:  PubMed          Journal:  Psychol Res        ISSN: 0340-0727


  59 in total

Review 1.  Do birds possess homologues of mammalian primary visual, somatosensory and motor cortices?

Authors:  L Medina; A Reiner
Journal:  Trends Neurosci       Date:  2000-01       Impact factor: 13.837

2.  A neurocomputational theory of the dopaminergic modulation of working memory functions.

Authors:  D Durstewitz; M Kelc; O Güntürkün
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

3.  Diversification and cumulative evolution in New Caledonian crow tool manufacture.

Authors:  Gavin R Hunt; Russell D Gray
Journal:  Proc Biol Sci       Date:  2003-04-22       Impact factor: 5.349

4.  Delay activity in avian prefrontal cortex--sample code or reward code?

Authors:  Rebecca Browning; J Bruce Overmier; Michael Colombo
Journal:  Eur J Neurosci       Date:  2010-12-22       Impact factor: 3.386

5.  Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory.

Authors:  Susheel Vijayraghavan; Min Wang; Shari G Birnbaum; Graham V Williams; Amy F T Arnsten
Journal:  Nat Neurosci       Date:  2007-02-04       Impact factor: 24.884

6.  D1 dopamine receptors in prefrontal cortex: involvement in working memory.

Authors:  T Sawaguchi; P S Goldman-Rakic
Journal:  Science       Date:  1991-02-22       Impact factor: 47.728

7.  Brain size predicts the success of mammal species introduced into novel environments.

Authors:  Daniel Sol; Sven Bacher; Simon M Reader; Louis Lefebvre
Journal:  Am Nat       Date:  2008-07       Impact factor: 3.926

Review 8.  Predictive reward signal of dopamine neurons.

Authors:  W Schultz
Journal:  J Neurophysiol       Date:  1998-07       Impact factor: 2.714

9.  Differential increase of extracellular dopamine and serotonin in the 'prefrontal cortex' and striatum of pigeons during working memory.

Authors:  Dilek Karakuyu; Christina Herold; Onur Güntürkün; Bettina Diekamp
Journal:  Eur J Neurosci       Date:  2007-10-01       Impact factor: 3.386

10.  Mirror-induced behavior in the magpie (Pica pica): evidence of self-recognition.

Authors:  Helmut Prior; Ariane Schwarz; Onur Güntürkün
Journal:  PLoS Biol       Date:  2008-08-19       Impact factor: 8.029

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  26 in total

1.  Meaning in the avian auditory cortex: neural representation of communication calls.

Authors:  Julie E Elie; Frédéric E Theunissen
Journal:  Eur J Neurosci       Date:  2015-03       Impact factor: 3.386

2.  How do predators generalize warning signals in simple and complex prey communities? Insights from a videogame.

Authors:  Mónica Arias; John W Davey; Simon Martin; Chris Jiggins; Nicola Nadeau; Mathieu Joron; Violaine Llaurens
Journal:  Proc Biol Sci       Date:  2020-02-19       Impact factor: 5.349

3.  Task switching in rhesus macaques (Macaca mulatta) and tufted capuchin monkeys (Cebus apella) during computerized categorization tasks.

Authors:  Travis R Smith; Michael J Beran
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2018-05-31       Impact factor: 2.478

4.  Delayed match-to-sample in working memory: A BrainMap meta-analysis.

Authors:  Thomas A Daniel; Jeffrey S Katz; Jennifer L Robinson
Journal:  Biol Psychol       Date:  2016-07-29       Impact factor: 3.251

Review 5.  Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning.

Authors:  Marc van Duijn
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

6.  Feature predictiveness and selective attention in pigeons' categorization learning.

Authors:  Leyre Castro; Edward A Wasserman
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2017-07       Impact factor: 2.478

Review 7.  The ideomotor recycling theory for tool use, language, and foresight.

Authors:  Arnaud Badets; François Osiurak
Journal:  Exp Brain Res       Date:  2016-11-04       Impact factor: 1.972

Review 8.  The neuroscience of perceptual categorization in pigeons: A mechanistic hypothesis.

Authors:  Onur Güntürkün; Charlotte Koenen; Fabrizio Iovine; Alexis Garland; Roland Pusch
Journal:  Learn Behav       Date:  2018-09       Impact factor: 1.986

9.  Adult pallium transcriptomes surprise in not reflecting predicted homologies across diverse chicken and mouse pallial sectors.

Authors:  T Grant Belgard; Juan F Montiel; Wei Zhi Wang; Fernando García-Moreno; Elliott H Margulies; Chris P Ponting; Zoltán Molnár
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-22       Impact factor: 11.205

10.  Pigeons exhibit flexibility but not rule formation in dimensional learning, stimulus generalization, and task switching.

Authors:  Ellen M O'Donoghue; Matthew B Broschard; Edward A Wasserman
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2020-01-09       Impact factor: 2.478

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