Results 81 to 90 of about 68,095 (317)

Evolving unipolar memristor spiking neural networks [PDF]

Connection Science, 2015
Neuromorphic computing --- brainlike computing in hardware --- typically requires myriad CMOS spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristors are frequently citepd as strong synapse candidates due to their statefulness and potential for low-power implementations.
Howard, David, Bull, Larry, Costello, Ben De Lacy   +2 more
openaire   +2 more sources

Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation

Advanced Functional Materials, EarlyView.
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna, Katarina Gugujonovic, Manuela Schiek, Alessandro Bellapianta, Paul Werginz, Amelie Ziller, Markus Clark Scharber, Ahmad Salti, Matthias Bolz, Mihai Irimia‐Vladu, Günther Zeck   +10 more
wiley   +1 more source

Evolving spiking neural network—a survey [PDF]

Evolving Systems, 2013
This paper provides a comprehensive literature survey on the evolving Spiking Neural Network (eSNN) architecture since its introduction in 2006 as a further extension of the ECoS paradigm introduced by Kasabov in 1998. We summarize the functioning of the method, discuss several of its extensions and present a number of applications in which the eSNN ...
Schliebs, S, Kasabov, N
openaire   +3 more sources

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems [PDF]

, 2017
In this live demonstration we exploit the use of a serial link for fast asynchronous communication in massively parallel processing platforms connected to a DVS for realtime implementation of bio-inspired vision processing on spiking neural ...
Furber, Steve B., Iakymchuk, T., Jablonski, M., Linares Barranco, Alejandro, Linares Barranco, Bernabé, Plana, L.A., Rosado, A., Serrano Gotarredona, María Teresa, Yousefzadeh, Amirreza   +8 more
core   +1 more source

High‐Spatiotemporal‐Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature‐Dependent Windows for Reversible Photothermal Neuromodulation

Advanced Functional Materials, EarlyView.
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee, Dongjo Yoon, Jungha Lee, Duhee Kim, Eunui Kim, Jong‐Hyeok Yoon, Hyuk‐Jun Kwon, Seungjun Chung, Yoonkey Nam, Hongki Kang   +9 more
wiley   +1 more source

Sound Recognition System Using Spiking and MLP Neural Networks [PDF]

, 2016
In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification.
Cerezuela Escudero, Elena, Domínguez Morales, Juan Pedro, Domínguez Morales, Manuel Jesús, Jiménez Fernández, Ángel Francisco, Linares Barranco, Alejandro, Paz Vicente, Rafael   +5 more
core  

The Utility of Phase Models in Studying Neural Synchronization

, 2017
Synchronized neural spiking is associated with many cognitive functions and thus, merits study for its own sake. The analysis of neural synchronization naturally leads to the study of repetitive spiking and consequently to the analysis of coupled neural ...
Brown, Ermentrout, Ermentrout, Ermentrout, Fell, Fries, Guckenheimer, Guckenheimer, Hansel, Hodgkin, Hoppensteadt, Izhikevich, Kopell, Kuramoto, Malkin, Malkin, Morris, Neu, Nunez, Rinzel, Schnitzler, Schwemmer, Torben-Nielsen, Watanabe, Winfree   +24 more
core   +1 more source

Free-space optical spiking neural network

PLOS ONE
Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation. As an alternative, optical implementations of such processors have been proposed, capitalizing on the ...
Reyhane Ahmadi, Amirreza Ahmadnejad, Somayyeh Koohi   +2 more
openaire   +5 more sources

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source