AIMC Topic: Prefrontal Cortex

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Meta-control: From psychology to computational neuroscience.

Cognitive, affective & behavioral neuroscience Jun 3, 2021
Research in the past decades shed light on the different mechanisms that underlie our capacity for cognitive control. However, the meta-level processes that regulate cognitive control itself remain poorly understood. Following the terminology from ar...
Artificial Intelligence Prefrontal Cortex Dopamine Neurosciences Humans
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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters.

International journal of molecular sciences Mar 25, 2021
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as bi...
RNA, Long Noncoding Factor Analysis, Statistical Schizophrenia RNA-Seq Computational Biology RNA, Messenger Multigene Family RNA, Untranslated Prefrontal Cortex Humans Biomarkers Diagnosis, Computer-Assisted Transcriptome Machine Learning Algorithms
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Behavioral validation of novel high resolution attention decoding method from multi-units & local field potentials.

NeuroImage Feb 11, 2021
The ability to access brain information in real-time is crucial both for a better understanding of cognitive functions and for the development of therapeutic applications based on brain-machine interfaces. Great success has been achieved in the field...
Machine Learning Reproducibility of Results Animals Psychomotor Performance Male Photic Stimulation Prefrontal Cortex Macaca mulatta Attention
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Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks.

Nature neuroscience Dec 7, 2020
Cortical neurons process information on multiple timescales, and areas important for working memory (WM) contain neurons capable of integrating information over a long timescale. However, the underlying mechanisms for the emergence of neuronal timesc...
Neurons Psychomotor Performance Cerebral Cortex Prefrontal Cortex Models, Neurological Memory, Short-Term Macaca mulatta White Matter Nerve Net Neural Inhibition Neural Networks, Computer Machine Learning Algorithms Computer Simulation Animals Male
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Support vector machine-based classification of schizophrenia patients and healthy controls using structural magnetic resonance imaging from two independent sites.

PloS one Nov 24, 2020
Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy ...
Magnetic Resonance Imaging Schizophrenia Cerebral Cortex Male Humans Prefrontal Cortex Female Support Vector Machine Adult
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Identification of contributing genes of Huntington's disease by machine learning.

BMC medical genomics Nov 23, 2020
BACKGROUND: Huntington's disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) mutations of the HTT gene results in neurodegeneration characterized by chorea, loss of coordination, cognitive decline. However, HD pathogenesis is s...
Humans Machine Learning Gene Expression Profiling Perception Prefrontal Cortex Gene Ontology Inflammation Cytoskeleton Cognition Huntington Disease Datasets as Topic Decision Trees Linear Models Nerve Tissue Proteins Gene Expression Regulation Sensation
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A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex.

Proceedings of the National Academy of Sciences of the United States of America Nov 5, 2020
The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underl...
Cognition Disorders Reinforcement, Psychology Behavior Observation Techniques Learning Prefrontal Cortex Models, Neurological Neural Networks, Computer Mental Disorders Humans
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Recovery of reward function in problematic substance users using a combination of robotics, electrophysiology, and TMS.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 14, 2020
BACKGROUND: Theoretical and empirical work suggest that addictive drugs potentiate dopaminergic reinforcement learning signals and disrupt the reward function of its neural targets, including the anterior midcingulate cortex (aMCC) and the basal gang...
Reward Electrophysiology Reinforcement, Psychology Humans Prefrontal Cortex Robotics
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Learning to select actions shapes recurrent dynamics in the corticostriatal system.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2020
Learning to select appropriate actions based on their values is fundamental to adaptive behavior. This form of learning is supported by fronto-striatal systems. The dorsal-lateral prefrontal cortex (dlPFC) and the dorsal striatum (dSTR), which are st...
Neural Networks, Computer Models, Neurological Learning Neurons Animals Corpus Striatum Prefrontal Cortex Haplorhini
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Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.

Neurobiology of learning and memory Jun 17, 2020
Cognition involves using attended information, maintained in working memory (WM), to guide action. During a cognitive task, a correct response requires flexible, selective gating so that only the appropriate information flows from WM to downstream ef...
Beta Rhythm Gamma Rhythm Electroencephalography Memory, Short-Term Humans Neurons Neural Networks, Computer Prefrontal Cortex
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