AIMC Topic: Synapses

Clear Filters Showing 81 to 90 of 321 articles

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...
Artificial Intelligence Neuronal Plasticity Synapses Brain Wearable Electronic Devices
View on PubMed DOI

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...
Models, Neurological Synapses Learning Neural Networks, Computer Neurons Neuronal Plasticity
View on PubMed DOI

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...
Robotics Skin Transistors, Electronic Cognition Animals Artificial Organs Cephalopoda Synapses
View on PubMed DOI

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...
Synapses Neurons Neural Networks, Computer Artificial Intelligence Bayes Theorem
View on PubMed DOI

Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.

Proceedings of the National Academy of Sciences of the United States of America May 27, 2022
Adolescent development is characterized by an improvement in multiple cognitive processes. While performance on cognitive operations improves during this period, the ability to learn new skills quickly, for example, a new language, decreases. During ...
Memory, Short-Term Neural Networks, Computer Synapses Reinforcement, Psychology Models, Neurological Prefrontal Cortex Adolescent Humans Adolescent Development Neuronal Plasticity
View on PubMed DOI

Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition.

ACS nano May 25, 2022
Neuromorphic visual systems emulating biological retina functionalities have enormous potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous. Conventionally, visual information is captured by an image sensor, s...
Neuronal Plasticity Synapses Neural Networks, Computer Algorithms Artificial Intelligence
View on PubMed DOI

Self-rectifying-based memristors for neuromorphic computing.

Science bulletin May 13, 2022
Synapses Neural Networks, Computer
View on PubMed DOI

Neural sampling machine with stochastic synapse allows brain-like learning and inference.

Nature communications May 11, 2022
Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-inspired probabilistic models of neural network can explicitly handle the uncertainty...
Neural Networks, Computer Artificial Intelligence Brain Bayes Theorem Synapses
View on PubMed DOI

Reconfigurable Artificial Synapses with Excitatory and Inhibitory Response Enabled by an Ambipolar Oxide Thin-Film Transistor.

ACS applied materials & interfaces May 6, 2022
A gate-tunable synaptic device controlling dynamically reconfigurable excitatory and inhibitory synaptic responses, which can emulate the fundamental synaptic responses for developing diverse functionalities of the biological nervous system, was deve...
Oxides Artificial Intelligence Semiconductors Reproducibility of Results Synapses
View on PubMed DOI

Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings.

Communications biology May 5, 2022
Biologically realistic computer simulations of neuronal circuits require systematic data-driven modeling of neuron type-specific synaptic activity. However, limited experimental yield, heterogeneous recordings conditions, and ambiguous neuronal ident...
Entorhinal Cortex Synapses Hippocampus Neurons Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals