AIMC Topic: Memory, Short-Term

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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...
Humans Neural Networks, Computer Action Potentials Memory, Short-Term Education, Distance Prefrontal Cortex Neuronal Plasticity Models, Neurological
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Spine dynamics in the brain, mental disorders and artificial neural networks.

Nature reviews. Neuroscience May 28, 2021
In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their artificial intelligence counterparts, spines are not merely tuneable memory elements: they also embody algorithms that implement the brain's ability ...
Humans Neuronal Plasticity Neural Networks, Computer Models, Neurological Mental Disorders Optogenetics Memory, Short-Term Artificial Intelligence Brain Mental Processes Reward Machine Learning Animals Neurotransmitter Agents Algorithms Receptors, Dopamine Synapses Species Specificity Dopamine Dendritic Spines
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Compositional memory in attractor neural networks with one-step learning.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2021
Compositionality refers to the ability of an intelligent system to construct models out of reusable parts. This is critical for the productivity and generalization of human reasoning, and is considered a necessary ingredient for human-level artificia...
Machine Learning Models, Neurological Memory, Short-Term Humans
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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...
Psychomotor Performance Cerebral Cortex White Matter Nerve Net Neural Inhibition Macaca mulatta Prefrontal Cortex Neural Networks, Computer Models, Neurological Machine Learning Memory, Short-Term Algorithms Neurons Computer Simulation Animals Male
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Changes to information in working memory depend on distinct removal operations.

Nature communications Dec 7, 2020
Holding information in working memory is essential for cognition, but removing unwanted thoughts is equally important. Here we use multivariate pattern analyses of brain activity to demonstrate the successful manipulation and removal of information f...
Adult Male Adolescent Cognition Machine Learning Brain Female Neurons Neuroimaging Magnetic Resonance Imaging Models, Neurological Brain Mapping Memory, Short-Term Humans
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Predicting risk of dyslexia with an online gamified test.

PloS one Dec 2, 2020
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified ...
Child Video Games Female Semantics Memory, Short-Term Risk Factors Reading Vision, Ocular Attention Male Dyslexia Neuropsychological Tests Humans Adolescent Phonetics Machine Learning Language
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Flexible Working Memory Through Selective Gating and Attentional Tagging.

Neural computation Oct 20, 2020
Working memory is essential: it serves to guide intelligent behavior of humans and nonhuman primates when task-relevant stimuli are no longer present to the senses. Moreover, complex tasks often require that multiple working memory representations ca...
Memory, Short-Term Attention Reinforcement, Psychology Sensory Gating Neural Networks, Computer Learning Animals Models, Neurological Humans
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Machine learning and individual variability in electric field characteristics predict tDCS treatment response.

Brain stimulation Oct 10, 2020
BACKGROUND: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delive...
Humans Machine Learning Forecasting Brain Magnetic Resonance Imaging Double-Blind Method Memory, Short-Term Individuality Transcranial Direct Current Stimulation Male Pilot Projects Cognition Treatment Outcome Female Aged Aged, 80 and over
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Engineering recurrent neural networks from task-relevant manifolds and dynamics.

PLoS computational biology Aug 12, 2020
Many cognitive processes involve transformations of distributed representations in neural populations, creating a need for population-level models. Recurrent neural network models fulfill this need, but there are many open questions about how their c...
Memory, Short-Term Neurons Humans Neural Networks, Computer Computational Biology Models, Neurological
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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...
Humans Neural Networks, Computer Prefrontal Cortex Electroencephalography Memory, Short-Term Neurons Beta Rhythm Gamma Rhythm
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