AIMC Topic: Memory

Clear Filters Showing 191 to 200 of 210 articles

In Silico Clinical Trials: Is It Possible?

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Modeling and simulation (M&S), including in silico (clinical) trials, helps accelerate drug research and development and reduce costs and have coined the term "model-informed drug development (MIDD)." Data-driven, inferential approaches are now becom...
Drug Development Knowledge Bases Memory Software Computer Simulation
View on PubMed DOI

Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies.

Neural computation Oct 10, 2023
Catastrophic forgetting remains an outstanding challenge in continual learning. Recently, methods inspired by the brain, such as continual representation learning and memory replay, have been used to combat catastrophic forgetting. Associative learni...
Brain Animals Diptera Neural Networks, Computer Algorithms Memory
View on PubMed DOI

Perception and memory in the medial temporal lobe: Deep learning offers a new lens on an old debate.

Neuron Sep 1, 2021
In this issue of Neuron, Bonnen et al. (2021) use artificial neural networks to resolve a long-standing controversy surrounding the neurocognitive dichotomy between memory and perception. They show that the perirhinal cortex supports performance on t...
Deep Learning Neurons Perception Memory Temporal Lobe
View on PubMed DOI

On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments.

Neural computation Aug 19, 2021
Associative memories enjoy many interesting properties in terms of error correction capabilities, robustness to noise, storage capacity, and retrieval performance, and their usage spans over a large set of applications. In this letter, we investigate...
Neural Networks, Computer Computer Simulation Feedback Memory Algorithms
View on PubMed DOI

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Early Diagnosis Hong Kong Medical History Taking Alzheimer Disease Ethnicity Mental Status and Dementia Tests Late Onset Disorders Clinical Trial Protocols as Topic Memory Behavior Observational Studies as Topic Mutation Patient Selection Asian People Models, Biological Wearable Electronic Devices Mobile Applications Cognition Language Humans Case-Control Studies Prospective Studies Biomarkers Artificial Intelligence
View on PubMed DOI

Artificial immune intelligence-inspired dynamic real-time computer forensics model.

Mathematical biosciences and engineering : MBE Oct 22, 2020
Dynamic computer forensics is a popular area in computer forensics that combines network intrusion technology with computer forensics technology. A novel dynamic computer forensics model is proposed based on an artificial immune system. Simulating th...
Memory Algorithms Artificial Intelligence Computer Systems Computers Computer Simulation
View on PubMed DOI

Digitalisation of the Brief Visuospatial Memory Test-Revised and Evaluation with a Machine Learning Algorithm.

Studies in health technology and informatics Jun 16, 2020
The disease multiple sclerosis (MS) is characterized by various neurological symptoms. This paper deals with a novel tool to assess cognitive dysfunction. The Brief Visuospatial Memory Test-Revised (BVMT-R) is a recognized method to measure optical r...
Humans Machine Learning Reproducibility of Results Neuropsychological Tests Algorithms Memory
View on PubMed DOI

Structured Event Memory: A neuro-symbolic model of event cognition.

Psychological review Apr 1, 2020
Humans spontaneously organize a continuous experience into discrete events and use the learned structure of these events to generalize and organize memory. We introduce the (SEM) model of event cognition, which accounts for human abilities in event ...
Memory Models, Psychological Generalization, Psychological Humans Neural Networks, Computer Cognition Probability
View on PubMed DOI

STDP Forms Associations between Memory Traces in Networks of Spiking Neurons.

Cerebral cortex (New York, N.Y. : 1991) Mar 14, 2020
Memory traces and associations between them are fundamental for cognitive brain function. Neuron recordings suggest that distributed assemblies of neurons in the brain serve as memory traces for spatial information, real-world items, and concepts. Ho...
Learning Neuronal Plasticity Models, Neurological Memory Humans Action Potentials Neural Networks, Computer Neurons
View on PubMed DOI

A Machine Learning Framework for Assessment of Cognitive and Functional Impairments in Alzheimer's Disease: Data Preprocessing and Analysis.

The journal of prevention of Alzheimer's disease Jan 1, 2020
The neuropsychological scores and Functional Activities Questionnaire (FAQ) are significant to measure the cognitive and functional domain of the patients affected by the Alzheimer's Disease. Further, there are standardized dataset available today th...
Activities of Daily Living Humans Cognitive Dysfunction Executive Function Logistic Models Machine Learning Datasets as Topic Mental Status and Dementia Tests Memory Alzheimer Disease
View on PubMed DOI
Popular Topics
Recent Journals