Literature DB >> 29184197

Mixed selectivity morphs population codes in prefrontal cortex.

Aishwarya Parthasarathy1,2, Roger Herikstad3, Jit Hon Bong3, Felipe Salvador Medina4, Camilo Libedinsky5,6,7, Shih-Cheng Yen8,9.   

Abstract

The prefrontal cortex maintains working memory information in the presence of distracting stimuli. It has long been thought that sustained activity in individual neurons or groups of neurons was responsible for maintaining information in the form of a persistent, stable code. Here we show that, upon the presentation of a distractor, information in the lateral prefrontal cortex was reorganized into a different pattern of activity to create a morphed stable code without losing information. In contrast, the code in the frontal eye fields persisted across different delay periods but exhibited substantial instability and information loss after the presentation of a distractor. We found that neurons with mixed-selective responses were necessary and sufficient for the morphing of code and that these neurons were more abundant in the lateral prefrontal cortex than the frontal eye fields. This suggests that mixed selectivity provides populations with code-morphing capability, a property that may underlie cognitive flexibility.

Mesh:

Year:  2017        PMID: 29184197     DOI: 10.1038/s41593-017-0003-2

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  47 in total

1.  Persistent Spiking Activity Underlies Working Memory.

Authors:  Christos Constantinidis; Shintaro Funahashi; Daeyeol Lee; John D Murray; Xue-Lian Qi; Min Wang; Amy F T Arnsten
Journal:  J Neurosci       Date:  2018-08-08       Impact factor: 6.167

2.  Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not.

Authors:  Mikael Lundqvist; Pawel Herman; Earl K Miller
Journal:  J Neurosci       Date:  2018-08-08       Impact factor: 6.167

3.  Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF.

Authors:  Sanjeev B Khanna; Jonathan A Scott; Matthew A Smith
Journal:  J Neurophysiol       Date:  2020-10-07       Impact factor: 2.714

4.  Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex.

Authors:  Camilo Libedinsky; Shih-Cheng Yen; Cheng Tang; Roger Herikstad; Aishwarya Parthasarathy
Journal:  Elife       Date:  2020-09-09       Impact factor: 8.140

5.  An Information-Driven 2-Pathway Characterization of Occipitotemporal and Posterior Parietal Visual Object Representations.

Authors:  Maryam Vaziri-Pashkam; Yaoda Xu
Journal:  Cereb Cortex       Date:  2019-05-01       Impact factor: 5.357

6.  A neural network for online spike classification that improves decoding accuracy.

Authors:  Deepa Issar; Ryan C Williamson; Sanjeev B Khanna; Matthew A Smith
Journal:  J Neurophysiol       Date:  2020-02-26       Impact factor: 2.714

Review 7.  Distraction in Visual Working Memory: Resistance is Not Futile.

Authors:  Elizabeth S Lorenc; Remington Mallett; Jarrod A Lewis-Peacock
Journal:  Trends Cogn Sci       Date:  2021-01-02       Impact factor: 20.229

8.  Does the Prefrontal Cortex Play an Essential Role in Consciousness? Insights from Intracranial Electrical Stimulation of the Human Brain.

Authors:  Omri Raccah; Ned Block; Kieran C R Fox
Journal:  J Neurosci       Date:  2021-03-10       Impact factor: 6.167

Review 9.  Working Memory 2.0.

Authors:  Earl K Miller; Mikael Lundqvist; André M Bastos
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

10.  Working memory prioritization impacts neural recovery from distraction.

Authors:  Remington Mallett; Jarrod A Lewis-Peacock
Journal:  Cortex       Date:  2019-09-20       Impact factor: 4.027

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