Results 81 to 90 of about 10,442 (302)

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

Advanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

Design and Characterization of Semi-Floating-Gate Synaptic Transistor

Micromachines, 2019
In this work, a study on a semi-floating-gate synaptic transistor (SFGST) is performed to verify its feasibility in the more energy-efficient hardware-driven neuromorphic system. To realize short- and long-term potentiation (STP/LTP) in the SFGST, a poly-
Yongbeom Cho, Jae Yoon Lee, Eunseon Yu, Jae-Hee Han, Myung-Hyun Baek, Seongjae Cho, Byung-Gook Park   +6 more
doaj   +1 more source

Benchmarking neuromorphic systems with Nengo.

Frontiers in neuroscience, 2015
Nengo is a software package for designing and simulating large-scale neural models. Nengo is architected such that the same Nengo model can be simulated on any of several Nengo backends with few to no modifications. Backends translate a model to specific platforms, which include GPUs and neuromorphic hardware.
Bekolay, Trevor, Stewart, Terrence C., Eliasmith, Chris   +2 more
openaire   +3 more sources

Backbone‐Controlled Ion‐Side Chain Accessibility in Conjugated Polymers for Organic Electrochemical Synaptic Transistors

Advanced Functional Materials, EarlyView.
Backbone modulation in glycolated conjugated polymers governs ion accessibility to side chains, strengthes anion adsorption, and suppresses back‐diffusion. As the number of thiophene units increases, structural reorganization, retention, and synaptic plasticity are enhanced, leading to improved neuromorphic performance in electrolyte‐gated organic ...
Junho Sung, Sein Chung, Byeongjun Jeon, Donghwa Lee, Myungjin An, Jiyeong Shin, Yoohyeon Jang, Donghoo Won, Changduk Yang, Bumjoon Seo, Eunho Lee   +10 more
wiley   +1 more source

Self-revival iontronic neuromorphic devices for robust human-machine interaction

npj Flexible Electronics
Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical
Yanfei Li, Jiayi Chen, Shilin Tang, Chenxi Zhu, Zhanpeng Hong, Xuefeng Lin, Xiang He, Jianyu Ming, Ning Liu, Linghai Xie, Haifeng Ling   +10 more
doaj   +1 more source

Odour Localization in Neuromorphic Systems

2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Odour source localization is crucial in life-saving scenarios like pinpointing gas leaks, detecting explosives, searching for earthquake survivors, or locating fires at their origin. The turbulent character of natural environments makes this task very challenging.
Thorben Schoepe, Damien Drix, Franz Marcus Schüffny, Rebecca Miko, Samuel Sutton, Elisabetta Chicca, Michael Schmuker   +6 more
openaire   +2 more sources

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

Advanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee, Jinbo Kim, Myeongjin An, Jisoo Park, Junho Sung, Eunsung Hwang, Suhwan Seok, Seong‐Min Bak, Jeonghun Kim, Eunho Lee   +9 more
wiley   +1 more source

Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System

IEEE Journal of the Electron Devices Society, 2018
To improve a pattern recognition accuracy of synaptic device-based neuromorphic system, we tried to obtain symmetric conductance changes between conductance increase process (potentiation) and conductance decrease process (depression).
Chuljun Lee, Sang-Mo Koo, Jong-min Oh, Daeseok Lee   +3 more
doaj   +1 more source

Neuromorphic Systems

, 2016
This article reviews a wide spectrum of state‐of‐the‐art neuromorphic systems, ranging from its principles, sensory elements, and processing aspects to large‐scale example systems and commercial outlook. It does not aim to provide a full coverage of present knowledge, but simply provide a comprehensive summary with many pointers to further readings.
C. Bartolozzi, R. Benosman, K. Boahen, G. Cauwenberghs, Tobi Delbrück, Giacomo Indiveri, Shih‐Chii Liu, S. Furber, N. Imam, Bernabé Linares‐Barranco, Teresa Serrano‐Gotarredona, K. Meier, C. Posch, M. Valle   +13 more
openaire   +2 more sources

Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker, Haoyi Lin, Zahra Bahrami, Strahinja Marinkovic, Sung Hyun Lee, Joseph Andrews   +5 more
wiley   +1 more source