Literature DB >> 31110323

Effective learning is accompanied by high-dimensional and efficient representations of neural activity.

Evelyn Tang1,2, Marcelo G Mattar3, Chad Giusti1,4, David M Lydon-Staley1, Sharon L Thompson-Schill3, Danielle S Bassett5,6,7,8,9.   

Abstract

A fundamental cognitive process is to map value and identity onto the objects we learn about. However, what space best embeds this mapping is not completely understood. Here we develop tools to quantify the space and organization of such a mapping in neural responses as reflected in functional MRI, to show that quick learners have a higher dimensional representation than slow learners, and hence more easily distinguishable whole-brain responses to objects of different value. Furthermore, we find that quick learners display more compact embedding of their neural responses, and hence have higher ratios of their stimuli dimension to their embedding dimension, which is consistent with greater efficiency of cognitive coding. Lastly, we investigate the neurophysiological drivers at smaller scales and study the complementary distinguishability of whole-brain responses. Our results demonstrate a spatial organization of neural responses characteristic of learning and offer geometric measures applicable to identifying efficient coding in higher-order cognitive processes.

Entities:  

Mesh:

Year:  2019        PMID: 31110323     DOI: 10.1038/s41593-019-0400-9

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   28.771


  1 in total

Review 1.  Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease.

Authors:  György Buzsáki; Brendon O Watson
Journal:  Dialogues Clin Neurosci       Date:  2012-12       Impact factor: 5.986

  1 in total
  9 in total

1.  How to study the neural mechanisms of multiple tasks.

Authors:  Guangyu Robert Yang; Michael W Cole; Kanaka Rajan
Journal:  Curr Opin Behav Sci       Date:  2019-09-09

2.  The dimensionality of neural representations for control.

Authors:  David Badre; Apoorva Bhandari; Haley Keglovits; Atsushi Kikumoto
Journal:  Curr Opin Behav Sci       Date:  2020-08-19

3.  Emerging native-similar neural representations underlie non-native speech category learning success.

Authors:  Gangyi Feng; Yu Li; Shen-Mou Hsu; Patrick C M Wong; Tai-Li Chou; Bharath Chandrasekaran
Journal:  Neurobiol Lang (Camb)       Date:  2021-06-09

4.  Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia.

Authors:  Danielle S Bassett; Heike Tost; Urs Braun; Anais Harneit; Giulio Pergola; Tommaso Menara; Axel Schäfer; Richard F Betzel; Zhenxiang Zang; Janina I Schweiger; Xiaolong Zhang; Kristina Schwarz; Junfang Chen; Giuseppe Blasi; Alessandro Bertolino; Daniel Durstewitz; Fabio Pasqualetti; Emanuel Schwarz; Andreas Meyer-Lindenberg
Journal:  Nat Commun       Date:  2021-06-09       Impact factor: 14.919

5.  Disentangling Within- and Between-Person Effects During Response Inhibition in Obsessive-Compulsive Disorder.

Authors:  Pernille Hagland; Anders Lillevik Thorsen; Olga Therese Ousdal; Rolf Gjestad; Stella J de Wit; Bjarne Hansen; Kristen Hagen; Gerd Kvale; Odile A van den Heuvel
Journal:  Front Psychiatry       Date:  2021-03-25       Impact factor: 4.157

6.  Sequence learning recodes cortical representations instead of strengthening initial ones.

Authors:  Kristjan Kalm; Dennis Norris
Journal:  PLoS Comput Biol       Date:  2021-05-24       Impact factor: 4.475

7.  Orthogonal representations for robust context-dependent task performance in brains and neural networks.

Authors:  Timo Flesch; Keno Juechems; Tsvetomira Dumbalska; Andrew Saxe; Christopher Summerfield
Journal:  Neuron       Date:  2022-01-31       Impact factor: 17.173

8.  Higher-dimensional neural representations predict better episodic memory.

Authors:  Jintao Sheng; Liang Zhang; Chuqi Liu; Jing Liu; Junjiao Feng; Yu Zhou; Huinan Hu; Gui Xue
Journal:  Sci Adv       Date:  2022-04-20       Impact factor: 14.957

Review 9.  Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology.

Authors:  Valerie J Sydnor; Bart Larsen; Danielle S Bassett; Aaron Alexander-Bloch; Damien A Fair; Conor Liston; Allyson P Mackey; Michael P Milham; Adam Pines; David R Roalf; Jakob Seidlitz; Ting Xu; Armin Raznahan; Theodore D Satterthwaite
Journal:  Neuron       Date:  2021-07-15       Impact factor: 18.688

  9 in total

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