AIMC Topic: Memory, Short-Term

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Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks.

Sensors (Basel, Switzerland) Jan 6, 2025
Analyzing performance in rowing, e.g., analyzing force and power output profiles produced either on ergometer or on boat, is a priority for trainers and athletes. The current state-of-the-art methodologies for rowing performance analysis involve the ...
Humans Neural Networks, Computer Adult Memory, Short-Term Male Athletes Water Sports Ergometry
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Biologically plausible gated recurrent neural networks for working memory and learning-to-learn.

PloS one Dec 31, 2024
The acquisition of knowledge and skills does not occur in isolation but learning experiences amalgamate within and across domains. The process through which learning can accelerate over time is referred to as learning-to-learn or meta-learning. While...
Learning Memory, Short-Term Humans Animals Neural Networks, Computer Nerve Net Models, Neurological Brain
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Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

JMIR formative research Dec 12, 2024
BACKGROUND: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of identifying these conditions presents an opportunity for artificial intelligence (AI)-driven, remote...
Memory, Short-Term South American People Female Anxiety Humans Aged Depression Artificial Intelligence Aged, 80 and over Male Mass Screening Middle Aged Brazil
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Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer's disease and normal aging.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 24, 2024
OBJECTIVE: To apply machine learning approaches on EEG event-related oscillations (ERO) to discriminate preclinical Alzheimer's disease (AD) from age- and sex-matched controls.
Alzheimer Disease Evoked Potentials Middle Aged Electroencephalography Memory, Short-Term Humans Machine Learning Female Male Aging Aged Aged, 80 and over
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A digital neuromorphic system for working memory based on spiking neuron-astrocyte network.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Among various types of memory, working memory (WM) plays a crucial role in reasoning, decision-making, and behavior regulation. Neuromorphic computing is a well-established engineering approach that offers promising avenues for advancing our understa...
Neural Networks, Computer Models, Neurological Action Potentials Memory, Short-Term Neurons Humans
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Analysis and fully memristor-based reservoir computing for temporal data classification.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2024
Reservoir computing (RC) offers a neuromorphic framework that is particularly effective for processing spatiotemporal signals. Known for its temporal processing prowess, RC significantly lowers training costs compared to conventional recurrent neural...
Memory, Short-Term Memory, Long-Term Neural Networks, Computer Algorithms Time Factors Humans
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Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables.

Spanish journal of psychiatry and mental health Nov 15, 2024
INTRODUCTION: Obsessive compulsive disorder is associated with affected executive functioning, including memory, cognitive flexibility, and organizational strategies. As it was reported in previous studies, patients with preserved executive functions...
Humans Adult Male Middle Aged Memory, Short-Term Machine Learning Female Young Adult Outcome Assessment, Health Care Executive Function Neuropsychological Tests Obsessive-Compulsive Disorder
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Predicting the effectiveness of binaural beats on working memory.

Neuroreport Sep 30, 2024
Working memory is vital for short-term information processing. Binaural beats can enhance working memory by improving attention and memory consolidation through neural synchronization. However, individual differences in cognitive and neuronal functio...
Machine Learning Brain Female Young Adult Adult Male Humans Electroencephalography Memory, Short-Term Acoustic Stimulation Attention Brain Waves Auditory Perception
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Unveiling the core functional networks of cognition: An ontology-guided machine learning approach.

NeuroImage Aug 20, 2024
Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivi...
Connectome Nerve Net Cognition Magnetic Resonance Imaging Memory, Short-Term Humans Young Adult Adult Male Machine Learning Brain Female
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Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model.

International journal of neural systems Jul 13, 2024
Seizure is a common neurological disorder that usually manifests itself in recurring seizure, and these seizures can have a serious impact on a person's life and health. Therefore, early detection and diagnosis of seizure is crucial. In order to impr...
Wavelet Analysis Memory, Long-Term Electroencephalography Seizures Humans Neural Networks, Computer Memory, Short-Term Sensitivity and Specificity Models, Neurological
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