Results 261 to 270 of about 352,422 (329)

Coding principles of dopaminergic transmission modes. [PDF]

Sci Adv
Huang L, Chang Y, Yang Z, Lynch WJ, Venton BJ.   +4 more
europepmc   +1 more source

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

A Regional Ultrastructural Analysis of the Cellular and Synaptic Architecture of the Mouse Vestibular Periphery, With Reference to the Chinchilla. [PDF]

J Comp Neurol
Ahmad M, Vlahodimos R, Hameed M, Imran F, Madappallil T, Oruganti J, Shamsaddin BS, Lysakowski A.   +7 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

Correction to: Glioma-derived SPARCL1 promotes the formation of peritumoral neuron-glioma synapses. [PDF]

J Neurooncol
Li Y, Wang Y, Han X, Xu J, Liu E, Cheng J, Ma Y, Yang T, Wu J, Sun H, Fan K, Shen D, Li J, Chen X, Yu S, Shu H.   +15 more
europepmc   +1 more source

Simultaneously active and inactive synapses of single Ia fibres on cat spinal motoneurones.

, 1984
Elwood Henneman, H. R. Lüscher, Johannes Mathis   +2 more
openalex   +2 more sources

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

Modeling nitric oxide diffusion and plasticity modulation in cerebellar learning. [PDF]

APL Bioeng
Trapani AM, Sartori CA, Gambosi B, Pedrocchi A, Antonietti A.   +4 more
europepmc   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +3 more
wiley   +1 more source