AIMC Topic: Memory

Clear Filters Showing 61 to 70 of 206 articles

A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.

IEEE transactions on neural networks and learning systems Nov 30, 2020
From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution of the human brain, this...
Brain Learning Animals Artificial Intelligence Algorithms Neurons Memory Biological Evolution Cognition Neuronal Plasticity Genomics Humans Neural Networks, Computer
View on PubMed DOI

Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network.

Learning & memory (Cold Spring Harbor, N.Y.) Nov 16, 2020
The features of an image can be represented at multiple levels-from its low-level visual properties to high-level meaning. What drives some images to be memorable while others are forgettable? We address this question across two behavioral experiment...
Prospective Studies Female Young Adult Humans Neural Networks, Computer Memory Judgment Photic Stimulation Male Psychomotor Performance Discrimination, Psychological Visual Perception Mental Recall
View on PubMed DOI

Echo Memory-Augmented Network for time series classification.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2020
Echo State Networks (ESNs) are efficient recurrent neural networks (RNNs) which have been successfully applied to time series modeling tasks. However, ESNs are unable to capture the history information far from the current time step, since the echo s...
Neural Networks, Computer Deep Learning Nonlinear Dynamics Memory Time Factors
View on PubMed DOI

Embracing Change: Continual Learning in Deep Neural Networks.

Trends in cognitive sciences Nov 3, 2020
Artificial intelligence research has seen enormous progress over the past few decades, but it predominantly relies on fixed datasets and stationary environments. Continual learning is an increasingly relevant area of study that asks how artificial sy...
Artificial Intelligence Learning Memory Humans Neural Networks, Computer
View on PubMed DOI

Capturing human categorization of natural images by combining deep networks and cognitive models.

Nature communications Oct 27, 2020
Human categorization is one of the most important and successful targets of cognitive modeling, with decades of model development and assessment using simple, low-dimensional artificial stimuli. However, it remains unclear how these findings relate t...
Pattern Recognition, Visual Visual Cortex Memory Cognition Models, Psychological Humans Decision Making Judgment Deep Learning
View on PubMed DOI

Overparameterized neural networks implement associative memory.

Proceedings of the National Academy of Sciences of the United States of America Oct 16, 2020
Identifying computational mechanisms for memorization and retrieval of data is a long-standing problem at the intersection of machine learning and neuroscience. Our main finding is that standard overparameterized deep neural networks trained using st...
Machine Learning Computational Biology Neural Networks, Computer Nonlinear Dynamics Memory
View on PubMed DOI

On the effects of memory and topology on the controllability of complex dynamical networks.

Scientific reports Oct 15, 2020
Recent advances in network science, control theory, and fractional calculus provide us with mathematical tools necessary for modeling and controlling complex dynamical networks (CDNs) that exhibit long-term memory. Selecting the minimum number of dri...
Neural Networks, Computer Algorithms Memory
View on PubMed DOI

Learning molecular dynamics with simple language model built upon long short-term memory neural network.

Nature communications Oct 9, 2020
Recurrent neural networks have led to breakthroughs in natural language processing and speech recognition. Here we show that recurrent networks, specifically long short-term memory networks can also capture the temporal evolution of chemical/biophysi...
Dipeptides Neural Networks, Computer Molecular Dynamics Simulation Memory Artificial Intelligence Markov Chains Single Molecule Imaging Models, Statistical Kinetics Language
View on PubMed DOI

On stability and associative recall of memories in attractor neural networks.

PloS one Sep 17, 2020
Attractor neural networks such as the Hopfield model can be used to model associative memory. An efficient associative memory should be able to store a large number of patterns which must all be stable. We study in detail the meaning and definition o...
Memory Mental Recall Algorithms Models, Neurological Recognition, Psychology Humans Nerve Net Neural Networks, Computer
View on PubMed DOI

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Scientific reports Aug 17, 2020
Predicting and modeling human behavior and finding trends within human decision-making processes is a major problem of social science. Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competi...
Male Decision Making Markov Chains Algorithms Humans Memory Game Theory Female Artificial Intelligence Competitive Behavior
View on PubMed DOI
Popular Topics
Recent Journals