AIMC Topic: Memory

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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...
Algorithms Memory Neural Networks, Computer
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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...
Language Models, Statistical Kinetics Neural Networks, Computer Artificial Intelligence Dipeptides Memory Single Molecule Imaging Molecular Dynamics Simulation Markov Chains
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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...
Nerve Net Algorithms Memory Models, Neurological Recognition, Psychology Humans Mental Recall Neural Networks, Computer
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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...
Algorithms Female Male Humans Artificial Intelligence Memory Competitive Behavior Game Theory Decision Making Markov Chains
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Zebrafish exhibit associative learning for an aversive robotic stimulus.

Lab animal Aug 10, 2020
Zebrafish have quickly emerged as a species of choice in preclinical research, holding promise to advance the field of behavioral pharmacology through high-throughput experiments. Besides biological and heuristic considerations, zebrafish also consti...
Conditioning, Classical Avoidance Learning Zebrafish Fear Memory Animals Robotics
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Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems.

Scientific reports Jul 16, 2020
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in...
Synapses Transistors, Electronic Memory Neocortex Pattern Recognition, Automated Computer Simulation Data Management Data Accuracy Software Algorithms Humans Neural Networks, Computer
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Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks.

Neural computation May 20, 2020
Sequential neural activity has been observed in many parts of the brain and has been proposed as a neural mechanism for memory. The natural world expresses temporal relationships at a wide range of scales. Because we cannot know the relevant scales a...
Rats Neural Networks, Computer Linear Models Exercise Test Memory Brain Neurons Animals
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A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory.

Neural computation May 20, 2020
We study the learning of an external signal by a neural network and the time to forget it when this network is submitted to noise. The presentation of an external stimulus to the recurrent network of binary neurons may change the state of the synapse...
Memory Mathematical Concepts Animals Neuronal Plasticity Humans Neural Networks, Computer Computer Simulation
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Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.

Scientific reports May 15, 2020
Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally encode and process information in the time domain. The added temporal dimension is believed to render them more computationally efficient than the con...
Neural Networks, Computer Algorithms Action Potentials Supervised Machine Learning Brain Humans Pattern Recognition, Automated Neurons Memory Synapses
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Network Dynamics Governed by Lyapunov Functions: From Memory to Classification.

Trends in neurosciences May 5, 2020
In 1982, John Hopfield published a neural network model for memory retrieval, a model that became a cornerstone in theoretical neuroscience. In a recent paper, Krotov and Hopfield built on these early studies and showed how a network that incorporate...
Algorithms Learning Memory Neural Networks, Computer
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