AIMC Topic: Memory, Short-Term

Clear Filters Showing 31 to 40 of 105 articles

Recurrent neural networks that learn multi-step visual routines with reinforcement learning.

PLoS computational biology Apr 29, 2024
Many cognitive problems can be decomposed into series of subproblems that are solved sequentially by the brain. When subproblems are solved, relevant intermediate results need to be stored by neurons and propagated to the next subproblem, until the o...
Models, Neurological Memory, Short-Term Animals Computational Biology Reinforcement, Psychology Macaca mulatta Visual Cortex Neurons Visual Perception Neural Networks, Computer Learning
View on PubMed DOI

Emergent neural dynamics and geometry for generalization in a transitive inference task.

PLoS computational biology Apr 25, 2024
Relational cognition-the ability to infer relationships that generalize to novel combinations of objects-is fundamental to human and animal intelligence. Despite this importance, it remains unclear how relational cognition is implemented in the brain...
Task Performance and Analysis Nerve Net Models, Neurological Memory, Short-Term Young Adult Adult Computational Biology Cognition Male Humans Brain Neural Networks, Computer Female
View on PubMed DOI

The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system.

PloS one Apr 18, 2024
In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning. Firstly, the Sparrow search algorithm (SSA) is used to op...
Memory, Short-Term Algorithms Neural Networks, Computer Correlation of Data Industry Forecasting
View on PubMed DOI

Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features.

Computer methods in biomechanics and biomedical engineering Apr 8, 2024
A heart attack is intended as top prevalent among all ruinous ailments. Day by day, the number of affected people count is increasing globally. The medical field is struggling to detect heart disease in the initial step. Early prediction can help pat...
Humans Deep Learning Memory, Short-Term Neural Networks, Computer Heart Diseases Algorithms
View on PubMed DOI

Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy.

Epilepsy & behavior : E&B Jan 5, 2024
OBJECTIVE: Individuals with temporal lobe epilepsy (TLE) frequently demonstrate impairments in executive function, working memory, and/or declarative memory. It is recommended that screening for cognitive impairment is undertaken in all people newly ...
Memory, Short-Term Epilepsy, Temporal Lobe Neuropsychological Tests Epilepsy Robotic Surgical Procedures Cognition Robotics Humans Cognitive Dysfunction
View on PubMed DOI

The effect of different types of cognitive tasks on postural sway fluctuations in older and younger adults: A nonlinear study.

Journal of bodywork and movement therapies Nov 21, 2023
BACKGROUND: There are numerous types of cognitive tasks classified as mental tracking (MT), working memory (WM), reaction time (RT), discrimination and decision-making and verbal fluency (VF). However, limited studies have investigated the effects of...
Postural Balance Memory, Short-Term Reaction Time Aging Humans Cognition Aged
View on PubMed DOI

Long- and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence.

Big data Nov 17, 2023
Market uncertainty greatly interferes with the decisions and plans of market participants, thus increasing the risk of decision-making, leading to compromised interests of decision-makers. Cotton price index (hereinafter referred to as cotton price) ...
Artificial Intelligence Memory, Short-Term Humans Commerce
View on PubMed DOI

A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing.

Nature communications Oct 11, 2023
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from the mult...
Memory, Short-Term Electronics Computers Humans Neural Networks, Computer Brain
View on PubMed DOI

Bayesian inference in ring attractor networks.

Proceedings of the National Academy of Sciences of the United States of America Feb 22, 2023
Working memories are thought to be held in attractor networks in the brain. These attractors should keep track of the uncertainty associated with each memory, so as to weigh it properly against conflicting new evidence. However, conventional attracto...
Neural Networks, Computer Bayes Theorem Memory, Short-Term Head Brain Models, Neurological
View on PubMed DOI

Forgetting memristor based STDP learning circuit for neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 19, 2022
The circuit implementation of STDP based on memristor is of great significance for the application of neural network. However, recent research shows that the research on the pure circuit implementation of forgetting memristor and STDP is still rare. ...
Synapses Neural Networks, Computer Neuronal Plasticity Learning Memory, Short-Term
View on PubMed DOI
Popular Topics
Recent Journals