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Related Concept Videos

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Related Experiment Video

Updated: Jun 5, 2026

Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention
09:48

Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention

Published on: September 11, 2017

Internal state dynamically gates task-specific attractor dynamics in prefrontal cortex.

Yuma Osako, Timothy J Buschman, Mriganka Sur

    Biorxiv : the Preprint Server for Biology
    |June 4, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Motivation and task engagement shape working memory by altering neural circuit dynamics. This study reveals how internal states reorganize brain activity patterns to support cognitive functions.

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    Published on: March 31, 2016

    Related Experiment Videos

    Last Updated: Jun 5, 2026

    Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention
    09:48

    Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention

    Published on: September 11, 2017

    Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
    10:19

    Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

    Published on: March 31, 2016

    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Computational Neuroscience

    Background:

    • Internal states like motivation significantly impact cognitive functions, including working memory.
    • Working memory relies on maintaining information over time and is known to be modulated by motivational factors.

    Purpose of the Study:

    • To investigate how motivational states influence the neural dynamics underlying working memory.
    • To elucidate the mechanisms by which internal states modulate cognitive functions at the circuit level.

    Main Methods:

    • Combined population recordings of mouse medial prefrontal cortex (mPFC) neural activity with data-constrained recurrent neural network (RNN) modeling.
    • Analyzed how task engagement affected attractor dynamics within a memory-maintenance subspace.

    Main Results:

    • Task engagement selectively modulated attractor dynamics supporting working memory, without altering stimulus-evoked responses.
    • Recurrent neural network models revealed that engagement stabilized memory-specific attractors by reorganizing neural interactions.
    • Continuous modulation of attractor geometry in both RNNs and mPFC predicted gradual changes in behavioral engagement.

    Conclusions:

    • Internal states modulate working memory by controlling the dynamical regime of medial prefrontal cortex circuits.
    • This work provides a mechanistic link between internal states, neural dynamics, and cognitive function.
    • Findings highlight the role of attractor dynamics in flexible cognitive control.