AIMC Topic: Memory, Short-Term

Clear Filters Showing 41 to 50 of 124 articles

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...
Humans Memory, Short-Term Memory, Long-Term Neural Networks, Computer Algorithms Time Factors
View on PubMed DOI

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 Memory, Short-Term Outcome Assessment, Health Care Neuropsychological Tests Obsessive-Compulsive Disorder Executive Function Adult Male Middle Aged Machine Learning Female Young Adult
View on PubMed DOI

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...
Brain Waves Auditory Perception Memory, Short-Term Attention Acoustic Stimulation Brain Female Young Adult Adult Male Electroencephalography Humans Machine Learning
View on PubMed DOI

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...
Nerve Net Magnetic Resonance Imaging Brain Memory, Short-Term Connectome Female Humans Young Adult Adult Machine Learning Male Cognition
View on PubMed DOI

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...
Humans Neural Networks, Computer Sensitivity and Specificity Models, Neurological Electroencephalography Seizures Memory, Short-Term Wavelet Analysis Memory, Long-Term
View on PubMed DOI

Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization.

Network (Bristol, England) Jun 10, 2024
Predicting the stock market is one of the significant chores and has a successful prediction of stock rates, and it helps in making correct decisions. The prediction of the stock market is the main challenge due to blaring, chaotic data as well as no...
Humans Support Vector Machine Memory, Short-Term Neural Networks, Computer Investments Algorithms Convolutional Neural Networks
View on PubMed DOI

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...
Reinforcement, Psychology Macaca mulatta Visual Cortex Memory, Short-Term Neurons Visual Perception Animals Neural Networks, Computer Learning Computational Biology Models, Neurological
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...
Nerve Net Models, Neurological Memory, Short-Term Task Performance and Analysis Female Male Humans Young Adult Computational Biology Neural Networks, Computer Adult Cognition Brain
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...
Forecasting Neural Networks, Computer Industry Memory, Short-Term Algorithms Correlation of Data
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 Memory, Short-Term Heart Diseases Neural Networks, Computer Algorithms Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals