Results 81 to 90 of about 6,675,279 (300)

Emergent auditory feature tuning in a real-time neuromorphic VLSI system [PDF]

open access: yes, 2012
Many sounds of ecological importance, such as communication calls, are characterized by time-varying spectra. However, most neuromorphic auditory models to date have focused on distinguishing mainly static patterns, under the assumption that dynamic ...
Martin eCoath   +25 more
core   +1 more source

Imaging from temporal data via spiking convolutional neural networks [PDF]

open access: yes, 2020
A new approach for imaging that is solely based on the time of flight of photons coming from the entire imaged scene, combined with a novel machine learning algorithm for image reconstruction: a spiking convolutional neural network (SCNN) named Spike-SPI
Kapitany, Valentin   +6 more
core   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Multiprocessing neural network simulator

open access: yes, 2013
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

An artificial spiking afferent nerve based on Mott memristors for neurorobotics

open access: yesNature Communications, 2020
Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking afferent
Xumeng Zhang   +16 more
doaj   +1 more source

An adaptive silicon synapse [PDF]

open access: yes, 2003
Chicca E, Indiveri G, Douglas R. An adaptive silicon synapse. Presented at the Proceedings of the 2003 International Symposium on Circuits and Systems (ISCAS).We present an analog circuit for implementing models of synapses with short-term adaptation ...
Douglas, R.   +2 more
core   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam   +10 more
wiley   +1 more source

Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates.

open access: yesPLoS Computational Biology
Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to standard recurrent neural networks (RNNs) that model neural firing rates more directly.
Thomas Robert Newton, Wilten Nicola
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy