Results 31 to 40 of about 84,713 (260)

Tunable synaptic working memory with volatile memristive devices

Neuromorphic Computing and Engineering, 2023
Abstract Different real-world cognitive tasks evolve on different relevant timescales. Processing these tasks requires memory mechanisms able to match their specific time constants. In particular, the working memory (WM) utilizes mechanisms that span orders of magnitudes of timescales, from milliseconds to seconds or even minutes.
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi   +4 more
openaire   +5 more sources

Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]

, 2019
Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions.
Chai, Yang, Ershad, Faheem, Gao, Li, Gu, Guoying, Kim, Hae-Jin, Liu, Yanghui, Rao, Zhoulyu, Shim, Hyunseok, Sim, Kyoseung, Thukral, Anish, Wang, Xinran, Wang, Xu, Yang, Pinyi, Yu, Cunjiang   +13 more
core   +1 more source

Double-Gated Asymmetric Floating-Gate-Based Synaptic Device for Effective Performance Enhancement Through Online Learning

IEEE Access, 2020
In this paper, we propose a floating-gate-based synaptic transistor with two independent control gates that implement both offline and online learning.
Donghyun Ryu, Tae-Hyung Kim, Taejin Jang, Junsu Yu, Jong-Ho Lee, Byung-Gook Park   +5 more
doaj   +1 more source

Synaptic proteins as multi-sensor devices of neurotransmission [PDF]

BMC Neuroscience, 2006
Abstract Neuronal communication is tightly regulated in time and space. Following neuronal activation, an electrical signal triggers neurotransmitter (NT) release at the active zone. The process starts by the signal reaching the synapse followed by a fusion of the synaptic vesicle (SV) and diffusion of the released NT in the synaptic cleft ...
Yanay Chava, Brachya Guy, Linial Michal
openaire   +3 more sources

Optical Bio-Inspired Synaptic Devices

Nanomaterials
The traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous “von Neumann storage wall” problem.
Pengcheng Li, Kesheng Wang, Shanshan Jiang, Gang He, Hainan Zhang, Shuo Cheng, Qingxuan Li, Yixin Zhu, Can Fu, Huanhuan Wei, Bo He, Yujiao Li   +11 more
openaire   +3 more sources

Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications [PDF]

, 2019
The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily
Bhaskaran, Harish, Bienstman, Peter, Carrillo, Santiago G.-C., Gemo, Emanuele, Katumba, Andrew, Li, Xuan, Pernice, Wolfram, Wright, C. David, Youngblood, Nathan   +8 more
core   +3 more sources

Studies on the fabrication and performance of artificial optical synaptic transistor based on 2D perovskite ferroelectrics

Gongneng cailiao yu qijian xuebao
By simulating the synaptic plasticity of biological nervous systems, neuromorphic computing provides a new idea for building intelligent sensing systems with low power consumption and high fault tolerance.
Peng ZHANG, Geng-xu CHEN
doaj   +1 more source

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation

, 2018
Memristive devices represent a promising technology for building neuromorphic electronic systems. In addition to their compactness and non-volatility features, they are characterized by computationally relevant physical properties, such as state ...
Indiveri, Giacomo, Muller, Lorenz K., Nair, Manu V, Payvand, Melika   +3 more
core   +1 more source

Perovskite photoelectric memristors with biological synaptic properties for neuromorphic computing

Advanced Sensor and Energy Materials
The “Von Neumann bottleneck” of traditional computing architecture limits the speed of information processing and the physical size limit indicates the end of “More's Law”.
Dong-Liang Li, Jia-Ying Chen, Yang Xiao, Wen-Min Zhong, Yan-Ping Jiang, Qiu-Xiang Liu, Xin-Gui Tang   +6 more
doaj   +1 more source

Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays [PDF]

, 2012
Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.Axonal delays are used in neural ...
Chicca, Elisabetta , Indiveri, G., Sheik, S.   +2 more
core   +4 more sources