AIMC Topic: Synapses

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Continuous learning of spiking networks trained with local rules.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2022
Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously without any signs of catastrophic forgetting. Spiking neural networks (SNNs) are the next generation o...
Neural Networks, Computer Synapses Education, Continuing Brain Neuronal Plasticity
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Dynamic branching in a neural network model for probabilistic prediction of sequences.

Journal of computational neuroscience Aug 10, 2022
An important function of the brain is to predict which stimulus is likely to occur based on the perceived cues. The present research studied the branching behavior of a computational network model of populations of excitatory and inhibitory neurons, ...
Models, Neurological Neurons Neural Networks, Computer Synapses Neural Inhibition
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Synergy of Spin-Orbit Torque and Built-In Field in Magnetic Tunnel Junctions with Tilted Magnetic Anisotropy: Toward Tunable and Reliable Spintronic Neurons.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 4, 2022
Owing to programmable nonlinear dynamics, magnetic domain wall (DW)-based devices can be configured to function as spintronic neurons, promising to execute sophisticated tasks as a human brain. Developing energy-efficient, CMOS compatible, reliable, ...
Humans Neural Networks, Computer Synapses Anisotropy Neurons Torque Magnetic Phenomena
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Controlled Growth of Wafer-Scale Transition Metal Dichalcogenides with a Vertical Composition Gradient for Artificial Synapses with High Linearity.

ACS nano Aug 1, 2022
Artificial synapses are promising for dealing with large amounts of data computing. Great progress has been made recently in terms of improving the on/off current ratio, the number of states, and the energy efficiency of synapse devices. However, the...
Transition Elements Neural Networks, Computer Synapses Electric Conductivity
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Multi-Stimuli-Responsive Synapse Based on Vertical van der Waals Heterostructures.

ACS applied materials & interfaces Jul 26, 2022
Brain-inspired intelligent systems demand diverse neuromorphic devices beyond simple functionalities. Merging biomimetic sensing with weight-updating capabilities in artificial synaptic devices represents one of the key research focuses. Here, we rep...
Synapses Neural Networks, Computer Learning Neuronal Plasticity Biomimetics
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On Spiking Neural Membrane Systems with Neuron and Synapse Creation.

International journal of neural systems Jul 12, 2022
Spiking neural membrane systems are models of computation inspired by the natural functioning of the brain using the concepts of neurons and synapses, and represent a way of building computational systems of a biological inspiration. A variant of suc...
Models, Neurological Action Potentials Neurons Synapses Neural Networks, Computer Brain
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Ultralow Power Wearable Organic Ferroelectric Device for Optoelectronic Neuromorphic Computing.

Nano letters Jun 23, 2022
In order to imitate brain-inspired biological information processing systems, various neuromorphic computing devices have been proposed, most of which were prepared on rigid substrates and have energy consumption levels several orders of magnitude hi...
Neuronal Plasticity Synapses Wearable Electronic Devices Artificial Intelligence Brain
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Sequence learning, prediction, and replay in networks of spiking neurons.

PLoS computational biology Jun 21, 2022
Sequence learning, prediction and replay have been proposed to constitute the universal computations performed by the neocortex. The Hierarchical Temporal Memory (HTM) algorithm realizes these forms of computation. It learns sequences in an unsupervi...
Synapses Neuronal Plasticity Neurons Models, Neurological Neural Networks, Computer Learning
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Artificial neuromorphic cognitive skins based on distributed biaxially stretchable elastomeric synaptic transistors.

Proceedings of the National Academy of Sciences of the United States of America Jun 1, 2022
Cephalopod (e.g., squid, octopus, etc.) skin is a soft cognitive organ capable of elastic deformation, visualizing, stealth, and camouflaging through complex biological processes of sensing, recognition, neurologic processing, and actuation in a nonc...
Transistors, Electronic Synapses Cognition Cephalopoda Animals Skin Robotics Artificial Organs
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Emergence of associative learning in a neuromorphic inference network.

Journal of neural engineering May 30, 2022
. In the theoretical framework of predictive coding and active inference, the brain can be viewed as instantiating a rich generative model of the world that predicts incoming sensory data while continuously updating its parameters via minimization of...
Neurons Artificial Intelligence Neural Networks, Computer Synapses Bayes Theorem
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