AIMC Topic: Prefrontal Cortex

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Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving.

Nature neuroscience Apr 6, 2023
Learning-to-learn, a progressive speedup of learning while solving a series of similar problems, represents a core process of knowledge acquisition that draws attention in both neuroscience and artificial intelligence. To investigate its underlying b...
Brain Learning Prefrontal Cortex Neural Networks, Computer Artificial Intelligence
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Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals.

PLoS computational biology Jan 19, 2023
Humans can learn several tasks in succession with minimal mutual interference but perform more poorly when trained on multiple tasks at once. The opposite is true for standard deep neural networks. Here, we propose novel computational constraints for...
Learning Animals Prefrontal Cortex Neural Networks, Computer Machine Learning Curriculum Humans
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Integration of velocity-dependent spatio-temporal structure of place cell activation during navigation in a reservoir model of prefrontal cortex.

Biological cybernetics Oct 12, 2022
Sequential behavior unfolds both in space and in time. The same spatial trajectory can be realized in different manners in the same overall time by changing instantaneous speeds. The current research investigates how speed profiles might be given beh...
Rats Robotics Neurons Place Cells Animals Prefrontal Cortex
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Geometry of neural computation unifies working memory and planning.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2022
Real-world tasks require coordination of working memory, decision-making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here, we propose that contingency representation...
Humans Neural Networks, Computer Computer Simulation Memory, Short-Term Prefrontal Cortex Models, Neurological
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Young children with autism show atypical prefrontal cortical responses to humanoid robots: An fNIRS study.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Aug 28, 2022
BACKGROUND: Previous behavioral studies have found that children with autism spectrum disorder (ASD) show greater interest in humanoid robots than in humans. However, the neural mechanism underlying this is not clear. This study compared brain activa...
Prefrontal Cortex Child, Preschool Child Humans Autism Spectrum Disorder Brain Mapping Robotics Autistic Disorder
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Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.

Proceedings of the National Academy of Sciences of the United States of America May 27, 2022
Adolescent development is characterized by an improvement in multiple cognitive processes. While performance on cognitive operations improves during this period, the ability to learn new skills quickly, for example, a new language, decreases. During ...
Models, Neurological Memory, Short-Term Synapses Reinforcement, Psychology Adolescent Development Prefrontal Cortex Adolescent Neuronal Plasticity Humans Neural Networks, Computer
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Orthogonal representations for robust context-dependent task performance in brains and neural networks.

Neuron Jan 31, 2022
How do neural populations code for multiple, potentially conflicting tasks? Here we used computational simulations involving neural networks to define "lazy" and "rich" coding solutions to this context-dependent decision-making problem, which trade o...
Neural Networks, Computer Brain Learning Prefrontal Cortex Task Performance and Analysis
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Brain oscillatory correlates of visuomotor adaptive learning.

NeuroImage Oct 21, 2021
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory feedback in response to movement errors. Although adaptation operates within individual movements on a trial-to-trial basis, it can also undergo learn...
Adult Male Prefrontal Cortex Brain Mapping Electroencephalography Machine Learning Learning Female Humans Cortical Synchronization Movement Healthy Volunteers Adaptation, Physiological Psychomotor Performance Motor Cortex
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Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces.

Scientific reports Aug 18, 2021
A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key ...
Amygdala Anxiety Prefrontal Cortex Child Female Male Models, Neurological Facial Expression Facial Recognition Longitudinal Studies Magnetic Resonance Imaging Emotions Humans Machine Learning
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Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.

Frontiers in neural circuits Jul 8, 2021
In the prefrontal cortex (PFC), higher-order cognitive functions and adaptive flexible behaviors rely on continuous dynamical sequences of spiking activity that constitute neural trajectories in the state space of activity. Neural trajectories subser...
Action Potentials Memory, Short-Term Prefrontal Cortex Education, Distance Neuronal Plasticity Humans Models, Neurological Neural Networks, Computer
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