Working Memory 2.0

Miller, Earl K.; Lundqvist, Mikael; Bastos, André M.

doi:10.1016/j.neuron.2018.09.023

Cited by 807Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Working Memory 2.0

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Miller, Earl K., Lundqvist, Mikael, Bastos, André M.·2018·Neuron

DOI 10.1016/j.neuron.2018.09.023PMC PMC8112390

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Abstract

Working memory is the fundamental function by which we break free from reflexive input-output reactions to gain control over our own thoughts. It has two types of mechanisms: online maintenance of information and its volitional or executive control. Classic models proposed persistent spiking for maintenance but have not explicitly addressed executive control. We review recent theoretical and empirical studies that suggest updates and additions to the classic model. Synaptic weight changes between sparse bursts of spiking strengthen working memory maintenance. Executive control acts via interplay between network oscillations in gamma (30-100 Hz) in superficial cortical layers (layers 2 and 3) and alpha and beta (10-30 Hz) in deep cortical layers (layers 5 and 6). Deep-layer alpha and beta are associated with top-down information and inhibition. It regulates the flow of bottom-up sensory information associated with superficial layer gamma. We propose that interactions between different rhythms in distinct cortical layers underlie working memory maintenance and its volitional control.

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All across cortex, gamma power (>35 Hz)/spiking is higher during bottom-up sensory inputs.
“A key observation is that, all across cortex, gamma power (>35 Hz)/spiking is higher during bottom-up sensory inputs.”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [29]
The section “Beta in deep-layer cortex interacts with gamma in superficial-layer cortex” (page unavailable) says bottom-up gamma and informative spiking in sensory areas are typically elevated during sensory stimulation. But “Mechanisms of gamma/beta interplay” (page unavailable) distinguishes prefrontal cortex, where sensory drive has less impact and gamma can occur without a stimulus. The copy therefore supports the sensory-area pattern, not the unqualified claim that it holds all across cortex; the cited passages also do not establish the >35 Hz cutoff. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Gamma power/spiking is anticorrelated with alpha/beta (8 to 30 Hz) power, which is higher under conditions of top-down control (e.g., attention and response inhibition).
“They are anticorrelated with alpha/beta (8 to 30 Hz) power (26–29), which is higher under conditions of top-down control (e.g., attention and response inhibition) (30–34).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [29]
The Introduction and “What is the alternative?” state that alpha/beta and gamma activity are anticorrelated; “What about alpha/beta?” links alpha/beta to top-down information and inhibition. But that section says attention increases gamma for attended inputs, while alpha/beta increases for unattended locations or modalities. It does not establish the claim’s unqualified assertion that alpha/beta power is higher during attention or its specific example of response inhibition. (LLM, conf=0.84)
Experimental — accuracy not yet measured

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Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory
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Gamma and beta bursts during working memory read-out suggest roles in its volitional controlPreprint
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Working memory implements distinct maintenance mechanisms depending on task goalsPreprint
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Authors: Miller, E. K., Lundqvist, M., & Bastos, A. M.
Affiliations: Massachusetts Institute of Technology (US)
Corresponding author: Miller, Earl K.
ORCID: Miller, Earl K.
Lundqvist, Mikael
Bastos, André M.
Venue: Neuron
Publisher: Elsevier BV
Published: 2018-10
Volume: 100
Issue: 2
Pages: 463-475
ISSN: 0896-6273 (ISSN-L)
DOI: 10.1016/j.neuron.2018.09.023
PMC: PMC8112390
OpenAlex: W2898524098
Cited by: 797
References: 165
Citations by year: 2026: 100 · 2025: 130 · 2024: 134 · 2023: 143 · 2022: 116 · 2021: 87 · 2020: 63 · 2019: 22 · 2018: 1
FWCI: 5.77
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 388 d)
Locations: Neuron (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: NIMH (R37MH087027)
ONR (MURI N00014-16-1-2832)
The Picower Fellows Program
MIT Picower Institute
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: working memory, working memory maintenance, executive function, synaptic plasticity, gamma oscillations, alpha oscillations, beta oscillations, cortical layers, top-down control, neural oscillations
MeSH terms: Animals, Brain, Humans, Memory, Short-Term, Models, Neurological

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