AIMC Topic: Memory, Short-Term

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Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 8, 2018
Persistent spiking has been thought to underlie working memory (WM). However, virtually all of the evidence for this comes from studies that averaged spiking across time and across trials, which masks the details. On single trials, activity often occ...
Humans Cerebral Cortex Nerve Net Energy Metabolism Gamma Rhythm Saccades Fixation, Ocular Haplorhini Action Potentials Time Factors Research Design Neurons Animals Memory, Short-Term Neural Networks, Computer
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Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience Jan 1, 2018
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According t...
Models, Psychological Humans Pattern Recognition, Automated Neural Networks, Computer Pattern Recognition, Physiological Speech Perception Computer Simulation Models, Neurological Learning Emotions Memory, Short-Term Memory, Long-Term Machine Learning Brain
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Using Robotics to Quantify Impairments in Sensorimotor Ability, Visuospatial Attention, Working Memory, and Executive Function After Traumatic Brain Injury.

The Journal of head trauma rehabilitation Jan 1, 2018
OBJECTIVE: To investigate the use of a robotic assessment tool to quantify sensorimotor, visuospatial attention, and executive function impairments in individuals with traumatic brain injury (TBI).
Injury Severity Score Motor Skills Psychomotor Performance Glasgow Coma Scale Executive Function Psychomotor Disorders Disability Evaluation Robotics Attention Memory, Short-Term Follow-Up Studies Brain Injuries, Traumatic Canada Middle Aged Humans Male Female Adult Prospective Studies
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Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.

Human factors Feb 1, 2017
OBJECTIVE: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.
Ergonomics Psychomotor Performance Memory, Short-Term Machine Learning Humans Electroencephalography Models, Theoretical
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