Results 291 to 300 of about 454,876 (378)

In‐Sensor Reservoir Computing Using Ferroelectric Optoelectronic Synapse for Near‐Infrared Face Recognition

Advanced Intelligent Systems, EarlyView.
Near‐infrared reservoir computing system has been realized by using α‐In2Se3 optoelectronic device with concise device and algorithm architecture, achieving high accuracy near 100% and noise robustness in face recognition tasks. These findings demonstrate 2D ferroelectric device‐based optoelectronic RC system as a compact and efficient computing ...
Wenyu Songlu, Quan Chen, Yi Cao, Han Wang, Han Chen, Weihui Sang, Yang Gan, Shijia Tian, Yuan Yu, Zhou Xin, Yukang Chen, Shuming Guo, Lin Wang, Xumeng Zhang, Tao Liu, Du Xiang   +15 more
wiley   +1 more source

NEURD offers automated proofreading and feature extraction for connectomics. [PDF]

Nature
Celii B, Papadopoulos S, Ding Z, Fahey PG, Wang E, Papadopoulos C, Kunin AB, Patel S, Bae JA, Bodor AL, Brittain D, Buchanan J, Bumbarger DJ, Castro MA, Cobos E, Dorkenwald S, Elabbady L, Halageri A, Jia Z, Jordan C, Kapner D, Kemnitz N, Kinn S, Lee K, Li K, Lu R, Macrina T, Mahalingam G, Mitchell E, Mondal SS, Mu S, Nehoran B, Popovych S, Schneider-Mizell CM, Silversmith W, Takeno M, Torres R, Turner NL, Wong W, Wu J, Yu SC, Yin W, Xenes D, Kitchell LM, Rivlin PK, Rose VA, Bishop CA, Wester B, Froudarakis E, Walker EY, Sinz F, Seung HS, Collman F, da Costa NM, Reid RC, Pitkow X, Tolias AS, Reimer J.   +57 more
europepmc   +1 more source

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

Advanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Towards a quantum synapse for quantum sensing. [PDF]

Sci Rep
Pau LF.
europepmc   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

Advanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen, Ge Wang, Xiao Luo, Lei Liang, Fan Yang, Xuemei Wang, Qiui Zhang, Jiangang Chen, Qing Liu, Fucai Liu   +9 more
wiley   +1 more source

Involvement of membrane palmitoylated protein 6 (MPP6) in synapses of mouse cerebrum. [PDF]

Histochem Cell Biol
Saitoh Y, Motofuji S, Kamijo A, Suzuki T, Yoshizawa T, Sakamoto T, Kametani K, Terada N.   +7 more
europepmc   +1 more source

Neurotrophic control of channel properties at neuromuscular synapses of rat muscle

, 1983
Hans Rudolf Brenner, B. Sakmann
openalex   +1 more source

Memimpedance‐Based Biomolecular Device for Adaptive Physical Reservoir Computing

Advanced Intelligent Systems, EarlyView.
By integrating fast‐switching ion‐channel‐based memristive and slow‐switching biomembrane‐based memcapacitive nodes within droplet interface bilayers, this hybrid memimpedance reservoir overcomes the memory‐nonlinearity trade‐off and extends temporal adaptability.
Ahmed S. Mohamed, Nicholas X. Armendarez, Md Sakib Hasan, Joseph S. Najem   +3 more
wiley   +1 more source

Unsupervised post-training learning in spiking neural networks. [PDF]

Sci Rep
Naderi R, Rezaei A, Amiri M, Peremans H.
europepmc   +1 more source

NSIP: Neural Network SPICE Integration Platform for Ferroelectric Field‐Effect Transistor‐Based Crossbar Arrays

Advanced Intelligent Systems, EarlyView.
This study presents the neural network SPICE integration platform (NSIP), a novel simulation framework for FeFET‐based crossbar arrays in neuromorphic computing. NSIP accurately models synaptic behavior, evaluates inference accuracy, and optimizes process variations.
Juhwan Park, Huijun Kim, Hyunbo Cho, Jongwook Jeon   +3 more
wiley   +1 more source