Results 71 to 80 of about 141,800 (341)

Equilibrium Properties of Temporally Asymmetric Hebbian Plasticity [PDF]

, 2000
A theory of temporally asymmetric Hebb (TAH) rules which depress or potentiate synapses depending upon whether the postsynaptic cell fires before or after the presynaptic one is presented.
C. W. Eurich, Daniel D. Lee, G. Q. Bi, H. Markram, H. Sompolinsky, Jonathan Rubin, L. F. Abbott, M. C. W. van Rossum, R. Kempter, R. P. N. Rao, W. M. Kistler   +10 more
core   +4 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Bayesian inference of synaptic quantal parameters from correlated vesicle release

Frontiers in Computational Neuroscience, 2016
Synaptic transmission is both history-dependent and stochastic, resulting in varying responses to presentations of the same presynaptic stimulus. This complicates attempts to infer synaptic parameters and has led to the proposal of a number of different ...
Alexander D Bird, Alexander D Bird, Alexander D Bird, Mark J Wall, Magnus J E Richardson   +4 more
doaj   +1 more source

Wnt/β-catenin signaling stimulates the expression and synaptic clustering of the autism-associated Neuroligin 3 gene [PDF]

, 2018
Indexación: Scopus.Synaptic abnormalities have been described in individuals with autism spectrum disorders (ASD). The cell-adhesion molecule Neuroligin-3 (Nlgn3) has an essential role in the function and maturation of synapses and NLGN3 ASD-associated ...
Andrade, V.M., Avila, M.E., Caracci, M.O., De Ferrari, G.V., Medina, M.A., Opazo, C., Reyes, A.E., Ugarte, G.D., Vargas, M.F., Verdugo, D.A.   +9 more
core   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

The Mechanistic Basis for Successful Spinal Cord Stimulation to Generate Steady Motor Outputs

Frontiers in Cellular Neuroscience, 2019
Electrical stimulation of the spinal cord is a promising rehabilitation intervention to restore/augment motor function after spinal cord injury (SCI).
Amr A. Mahrous, Amr A. Mahrous, Mohamed H. Mousa, Sherif M. Elbasiouny, Sherif M. Elbasiouny   +4 more
doaj   +1 more source

Effect of Background Synaptic Activity on Excitatory-Postsynaptic Potential-Spike Coupling

, 2017
Veronika Zsiros
openaire   +2 more sources

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Tutorial: Neuromorphic spiking neural networks for temporal learning

, 2018
Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
core   +1 more source

Supervised Associative Learning in Spiking Neural Network [PDF]

, 2005
In this paper, we propose a simple supervised associative learning approach for spiking neural networks. In an excitatory-inhibitory network paradigm with Izhikevich spiking neurons, synaptic plasticity is implemented on excitatory to excitatory synapses
F. Crick, E.M. Izhikevich, E.M. Izhikevich, A. Kasinski, P. Dayan, N. Brunel, H. Paugam-Moisy   +6 more
core   +1 more source