ArticlePsychonomic bulletin & review2018
Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.
Article in Psychonomic bulletin & review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 41 citations in OpenAlex.
- Modulation of anterior cingulate cortex reward and penalty signalling in medication-naive young-adult subjects with depressive symptoms following acute dose lurasidone.Psychological medicine · 2019Trial
- The Tap-to-Safety Task: A Novel fMRI Paradigm Assessing Repetitive Threat-Neutralization.Human brain mapping · 2026Article
- ACC representations of reward-driven motivation over hierarchically-organized behavior.NeuroImage · 2025Article
- Model-Based Approaches to Investigating Mismatch Responses in Schizophrenia.Clinical EEG and neuroscience · 2025Review
- The successor representation subserves hierarchical abstraction for goal-directed behavior.PLoS computational biology · 2024Article
- Perceptual oddities: assessing the relationship between film editing and prediction processes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Unraveling the influence of trial-based motivational changes on performance monitoring stages in a flanker task.Scientific reports · 2023Article
- Neurophysiological mechanisms of error monitoring in human and non-human primates.Nature reviews. Neuroscience · 2023Review
- Review
- Abnormal resting-state functional connectivity of hippocampal subfields in patients with major depressive disorder.BMC psychiatry · 2020Article
- Subcortical Dopamine and Cognition in Schizophrenia: Looking Beyond Psychosis in Preclinical Models.Frontiers in neuroscience · 2020Review
- Shared gray matter reductions across alcohol use disorder and posttraumatic stress disorder in the anterior cingulate cortex: A dual meta-analysis.Neurobiology of stress · 2019Article
- A Control Theoretic Model of Adaptive Learning in Dynamic Environments.Journal of cognitive neuroscience · 2018Article
- Gain control explains the effect of distraction in human perceptual, cognitive, and economic decision making.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Human midcingulate cortex encodes distributed representations of task progress.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Dorsal Anterior Cingulate Cortices Differentially Lateralize Prediction Errors and Outcome Valence in a Decision-Making Task.Frontiers in human neuroscience · 2018Article
- Computational Models of Anterior Cingulate Cortex: At the Crossroads between Prediction and Effort.Frontiers in neuroscience · 2017Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Anterior cingulate cortex (ACC) has been the subject of intense debate over the past 2 decades, but its specific computational function remains controversial. Here we present a simple computational model of ACC that incorporates distributed representations across a network of interconnected processing units. Based on the proposal that ACC is concerned with the execution of extended, goal-directed action sequences, we trained a recurrent neural network to predict each successive step of several sequences associated with multiple tasks. In keeping with neurophysiological observations from nonhuman animals, the network yields distributed patterns of activity across ACC neurons that track the progression of each sequence, and in keeping with human neuroimaging data, the network produces discrepancy signals when any step of the sequence deviates from the predicted step. These simulations illustrate a novel approach for investigating ACC function.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.