AIMC Topic: Prefrontal Cortex

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Working Memory and Decision-Making in a Frontoparietal Circuit Model.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 7, 2017
Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the posterior parietal cortex (PPC) and prefrontal cortex (PFC) at the core. However, the shared and dis...
Humans Neural Networks, Computer Computer Simulation Memory, Short-Term Connectome Synaptic Transmission Parietal Lobe Prefrontal Cortex Models, Neurological Action Potentials Decision Making
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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Oct 6, 2017
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC). Neural activity in the PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear "mixed...
Macaca mulatta Cluster Analysis Models, Neurological Neurons Computer Simulation Neural Networks, Computer Animals Machine Learning Male Learning Algorithms Prefrontal Cortex Female Cognition
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Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

PloS one Jul 6, 2017
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy r...
Parahippocampal Gyrus Cerebral Cortex Parietal Lobe Temporal Lobe Bipolar Disorder Child Longitudinal Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Affect Neuroimaging Male Case-Control Studies Prefrontal Cortex Adolescent Humans Machine Learning Female
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Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2017
Persistent irregular activity is defined as elevated irregular neural discharges in the brain in such a way that while the average network activity displays high frequency oscillations, the participating neurons display irregular and low frequency os...
Humans Neural Networks, Computer Animals Nerve Net Neural Inhibition Prefrontal Cortex Models, Neurological Action Potentials Neurons
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Binding by Random Bursts: A Computational Model of Cognitive Control.

Journal of cognitive neuroscience Mar 2, 2017
A neural synchrony model of cognitive control is proposed. It construes cognitive control as a higher-level action to synchronize lower-level brain areas. Here, a controller prefrontal area (medial frontal cortex) can synchronize two cortical process...
Humans Neural Networks, Computer Theta Rhythm Prefrontal Cortex Models, Theoretical Executive Function
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Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity.

Proceedings of the National Academy of Sciences of the United States of America Dec 12, 2016
The effectiveness of today's human-machine interaction is limited by a communication bottleneck as operators are required to translate high-level concepts into a machine-mandated sequence of instructions. In contrast, we demonstrate effective, goal-o...
Female Adult Humans Male User-Computer Interface Prefrontal Cortex Machine Learning Computer Systems Electroencephalography Computers Evoked Potentials Brain
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A machine learning approach to identify functional biomarkers in human prefrontal cortex for individuals with traumatic brain injury using functional near-infrared spectroscopy.

Brain and behavior Aug 24, 2016
BACKGROUND: We have explored the potential prefrontal hemodynamic biomarkers to characterize subjects with Traumatic Brain Injury (TBI) by employing the multivariate machine learning approach and introducing a novel task-related hemodynamic response ...
Machine Learning Biomarkers Female Adult Male Case-Control Studies Spectroscopy, Near-Infrared Humans Prefrontal Cortex Hemodynamics Brain Injuries, Traumatic
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Non-reward neural mechanisms in the orbitofrontal cortex.

Cortex; a journal devoted to the study of the nervous system and behavior Jul 15, 2016
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbitofrontal cortex is activated when non-reward, or loss occurs. The neuronal computation of this negat...
Neurons Reward Nerve Net Humans Neural Networks, Computer Prefrontal Cortex Computer Simulation Emotions Action Potentials
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Demixed principal component analysis of neural population data.

eLife Apr 12, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information...
Reward Datasets as Topic Animals Motor Neurons Multifactor Dimensionality Reduction Task Performance and Analysis Prefrontal Cortex Decision Making Macaca mulatta Olfactory Perception Rats Principal Component Analysis Spatial Navigation Memory, Short-Term Sensory Receptor Cells
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Multivariate representation of food preferences in the human brain.

Brain and cognition Jan 6, 2016
One major goal in decision neuroscience is to investigate the neuronal mechanisms being responsible for the computation of product preferences. The aim of the present fMRI study was to investigate whether similar patterns of brain activity, reflectin...
Magnetic Resonance Imaging Food Preferences Adult Choice Behavior Humans Male Gyrus Cinguli Female Prefrontal Cortex Young Adult Support Vector Machine
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