AIMC Topic: Memory, Short-Term

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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. ...
Humans Time Factors Magnetic Resonance Imaging Memory, Short-Term Connectome Interpersonal Relations Theory of Mind Neural Networks, Computer Brain Female Young Adult Male Adolescent
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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 ...
Adult Male Support Vector Machine Humans Female Young Adult Cerebral Cortex Inhibition, Psychological Electroencephalography Executive Function Memory, Short-Term Psychomotor Performance
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A self-organizing short-term dynamical memory network.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2018
Working memory requires information about external stimuli to be represented in the brain even after those stimuli go away. This information is encoded in the activities of neurons, and neural activities change over timescales of tens of milliseconds...
Neural Networks, Computer Brain Neuronal Plasticity Humans Synapses Nerve Net Models, Neurological Memory, Short-Term Neurons
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A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.

Neural computation Apr 13, 2018
To accommodate structured approaches of neural computation, we propose a class of recurrent neural networks for indexing and storing sequences of symbols or analog data vectors. These networks with randomized input weights and orthogonal recurrent we...
Memory, Short-Term Neurons Humans Neural Networks, Computer Algorithms Computer Simulation Models, Neurological
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Visual mental imagery: A view from artificial intelligence.

Cortex; a journal devoted to the study of the nervous system and behavior Feb 27, 2018
This article investigates whether, and how, an artificial intelligence (AI) system can be said to use visual, imagery-based representations in a way that is analogous to the use of visual mental imagery by people. In particular, this article aims to ...
Imagery, Psychotherapy Problem Solving Visual Perception Imagination Artificial Intelligence Memory, Short-Term Humans
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Cortical computations via transient attractors.

PloS one Dec 7, 2017
The ability of sensory networks to transiently store information on the scale of seconds can confer many advantages in processing time-varying stimuli. How a network could store information on such intermediate time scales, between typical neurophysi...
Humans Neural Networks, Computer Models, Neurological Memory, Short-Term
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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...
Decision Making Memory, Short-Term Connectome Synaptic Transmission Humans Parietal Lobe Neural Networks, Computer Prefrontal Cortex Computer Simulation Models, Neurological Action Potentials
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Synaptic Correlates of Working Memory Capacity.

Neuron Dec 29, 2016
Psychological studies indicate that human ability to keep information in readily accessible working memory is limited to four items for most people. This extremely low capacity severely limits execution of many cognitive tasks, but its neuronal under...
Synapses Neural Inhibition Neural Networks, Computer Neuronal Plasticity Memory, Short-Term Humans
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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...
Memory, Short-Term Macaca mulatta Animals Reward Task Performance and Analysis Spatial Navigation Datasets as Topic Prefrontal Cortex Olfactory Perception Sensory Receptor Cells Rats Multifactor Dimensionality Reduction Decision Making Principal Component Analysis Motor Neurons
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Local community detection as pattern restoration by attractor dynamics of recurrent neural networks.

Bio Systems Mar 24, 2016
Densely connected parts in networks are referred to as "communities". Community structure is a hallmark of a variety of real-world networks. Individual communities in networks form functional modules of complex systems described by networks. Therefor...
Community Networks Algorithms Models, Theoretical Humans Brain Memory, Short-Term Neural Networks, Computer Social Support Cues
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