On the Rational Boundedness of Cognitive Control: Shared Versus Separated Representations

Published: Nov. 16, 2020

One of the most fundamental and striking limitations human cognition appears to be a constraint in number control-dependent processes that can executed at one time. This motivates influential tenets cognitive psychology: control relies on central, limited-capacity processing mechanism imposes seriality processing. Here we provide formally explicit challenge this view. We argue causality is reversed: constraints behavior reflect rational bound mechanisms impose processing, prevent interference arises if two or more tasks engage same representations required perform tasks. use both mathematical numerical analyses shared neural network architectures formal grounding for argument–historically known as "multiple-resource theory"–and demonstrate its ability explain wide range phenomena associated with behavior. Furthermore, need control, arising from by different tasks, reflects optimization trade-off intrinsic architectures: increase learning efficacy representations, versus efficiency parallel (i.e., multitasking) task-dedicated representations. The theory helps frame rigorous, normative approach between automaticity, how relates other principles concerning function, computation generally.

Language: Английский

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The entorhinal-DG/CA3 pathway in the medial temporal lobe retains visual working memory of a simple surface feature

eLife, Journal Year: 2023, Volume and Issue: 12

Published: March 2, 2023

Classic models consider working memory (WM) and long-term as distinct mental faculties that are supported by different neural mechanisms. Yet, there significant parallels in the computation both types of require. For instance, representation precise item-specific requires separation overlapping representations similar information. This has been referred to pattern separation, which can be mediated entorhinal-DG/CA3 pathway medial temporal lobe (MTL) service episodic memory. However, although recent evidence suggested MTL is involved WM, extent supports WM remained elusive. Here, we combine an established orientation task with high-resolution fMRI test hypothesis retains visual a simple surface feature. Participants were retrospectively cued retain one two studied gratings during brief delay period then tried reproduce precisely possible. By modeling delay-period activity reconstruct retained content, found anterior-lateral entorhinal cortex (aLEC) hippocampal DG/CA3 subfield contain information associated subsequent recall fidelity. Together, these results highlight contribution circuitry representation.

Language: Английский

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The neural architecture of theory-based reinforcement learning

Neuron, Journal Year: 2023, Volume and Issue: 111(8), P. 1331 - 1344.e8

Published: March 9, 2023

Language: Английский

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Refixation behavior in naturalistic viewing: Methods, mechanisms, and neural correlates

Attention Perception & Psychophysics, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 2, 2024

Abstract When freely viewing a scene, the eyes often return to previously visited locations. By tracking eye movements and coregistering EEG, such refixations are shown have multiple roles: repairing insufficient encoding from precursor fixations, supporting ongoing by resampling relevant locations prioritized aiding construction of memory representations. All these functions refixation behavior understood be underpinned three oculomotor cognitive systems their associated brain structures. First, immediate saccade planning prior involves attentional selection candidate revisit. This process is likely supported dorsal network. Second, visual working memory, involved in maintaining task-related information, cortex. Third, higher-order relevance scene locations, which depends on general knowledge understanding meaning, hippocampal system. Working together, structures bring about that balances exploring unvisited areas with exploiting through refixations.

Language: Английский

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Repertoire of timescales in uni – and transmodal regions mediate working memory capacity

NeuroImage, Journal Year: 2024, Volume and Issue: 291, P. 120602 - 120602

Published: April 4, 2024

Working memory (WM) describes the dynamic process of maintenance and manipulation information over a certain time delay. Neuronally, WM recruits distributed network cortical regions like visual dorsolateral prefrontal cortex as well subcortical hippocampus. How input dynamics subsequent neural impact remains unclear though. To answer this question, we combined analysis behavioral capacity with measuring through task-related power spectrum changes, e.g., median frequency (MF) in functional magnetic resonance imaging (fMRI). We show that processing dynamics, task structure's specific timescale, leads to changes unimodal cortex's corresponding timescale which also relates working capacity. While more transmodal hippocampus its balance across multiple timescales or frequencies. In conclusion, here relevance both different for uni - subject's performance.

Language: Английский

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