AIMC Topic: Memory, Short-Term

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Distinct role of flexible and stable encodings in sequential working memory.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2019
The serial-position effect in working memory is considered important for studying how a sequence of sensory information can be retained and manipulated simultaneously in neural memory circuits. Here, via a precise analysis of the primacy and recency ...
Memory, Short-Term Neural Networks, Computer Brain Models, Neurological Humans
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Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE).

Neural networks : the official journal of the International Neural Network Society Sep 25, 2019
We present a framework based on iterative free-energy optimization with spiking neural networks for modeling the fronto-striatal system (PFC-BG) for the generation and recall of audio memory sequences. In line with neuroimaging studies carried out in...
Humans Neural Networks, Computer Memory, Short-Term Neurons Mental Recall Reinforcement, Psychology Learning Prefrontal Cortex Action Potentials
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Mapping differential responses to cognitive training using machine learning.

Developmental science Jul 22, 2019
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)-a type of simple artificial neural network...
Humans Cluster Analysis Unsupervised Machine Learning Intelligence Memory, Short-Term Child, Preschool Female Cognition Disorders Child Male Cognition Adolescent
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Circuit mechanisms for the maintenance and manipulation of information in working memory.

Nature neuroscience Jun 10, 2019
Recently it has been proposed that information in working memory (WM) may not always be stored in persistent neuronal activity but can be maintained in 'activity-silent' hidden states, such as synaptic efficacies endowed with short-term synaptic plas...
Learning Neuronal Plasticity Memory, Short-Term Neural Networks, Computer Computer Simulation
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Local online learning in recurrent networks with random feedback.

eLife May 24, 2019
Recurrent neural networks (RNNs) enable the production and processing of time-dependent signals such as those involved in movement or working memory. Classic gradient-based algorithms for training RNNs have been available for decades, but are inconsi...
Memory, Short-Term Education, Distance Chromosome Pairing Computer Simulation Learning Feedback Time Factors Databases, Genetic Models, Neurological Neural Networks, Computer Algorithms Brain Humans
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Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences.

IEEE transactions on neural networks and learning systems May 3, 2019
Learning long-term dependences (LTDs) with recurrent neural networks (RNNs) is challenging due to their limited internal memories. In this paper, we propose a new external memory architecture for RNNs called an external addressable long-term and work...
Neural Networks, Computer Databases, Factual Memory, Short-Term Memory, Long-Term
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Emotional arousal amplifies competitions across goal-relevant representation: A neurocomputational framework.

Cognition Mar 8, 2019
Emotional arousal often facilitates memory for some aspects of an event while impairing memory for other aspects of the same event. Across three experiments, we found that emotional arousal amplifies competition among goal-relevant representations, s...
Pattern Recognition, Visual Conditioning, Classical Humans Norepinephrine Memory, Short-Term Models, Biological Memory Facial Recognition Attention Goals Adult Male Emotions Neural Networks, Computer Female Young Adult
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Task representations in neural networks trained to perform many cognitive tasks.

Nature neuroscience Jan 14, 2019
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti...
Cognition Models, Neurological Decision Making Memory, Short-Term Neurons Brain Computer Simulation Learning Humans Neural Networks, Computer
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Brain dynamics and temporal trajectories during task and naturalistic processing.

NeuroImage Nov 16, 2018
Human functional Magnetic Resonance Imaging (fMRI) data are acquired while participants engage in diverse perceptual, motor, cognitive, and emotional tasks. Although data are acquired temporally, they are most often treated in a quasi-static manner. ...
Theory of Mind Adolescent Female Humans Young Adult Memory, Short-Term Neural Networks, Computer Male Connectome Brain Interpersonal Relations Time Factors Magnetic Resonance Imaging
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Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

Biological psychology Nov 4, 2018
OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs) like updating, inhibition and shifting play an important role in WM functioning. The models state that EFs highly correlate with each other but also ...
Young Adult Adult Male Humans Executive Function Female Psychomotor Performance Cerebral Cortex Inhibition, Psychological Support Vector Machine Electroencephalography Memory, Short-Term
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