Results 151 to 160 of about 19,662,716 (202)

Large-scale neuromorphic modeling of cortical networks on FPGA for investigating anesthetic-induced neural dynamics. [PDF]

Front Syst Neurosci
Wang C, Pan X, Chen S, Cheng H, Yao Y, Zhang G, Zheng F.   +6 more
europepmc   +1 more source

Direct-Write Defects for Bias-Free Two-Dimensional Optical Synapses Towards In-Sensor Motion Detection. [PDF]

Nano Lett
Tang TW, Hu Y, Li Y, Tamtaji M, Hasan MS, You J, Shen J, Pei S, Wang J, Li Y, Chen G, Gao Z, Zhang N, Luo Z.   +13 more
europepmc   +1 more source

2D Materials Powering Neuromorphic Intelligence. [PDF]

Nanomicro Lett
Kazmi J, Ahmad W, Naqi M, Abbas Y, Abbas A, Wang P, Mohamed MA, Rosei F, Wang ZM, Song H.   +9 more
europepmc   +1 more source

Correction: Rathee et al. SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework. <i>J. Imaging</i> 2026, <i>12</i>, 64. [PDF]

J Imaging
Rathee M, Bačić B, Doborjeh M.
europepmc   +1 more source

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Neuromorphic sensory systems

Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
openaire   +3 more sources

Memory and Information Processing in Neuromorphic Systems [PDF]

Proceedings of the IEEE, 2015
Submitted to Proceedings of IEEE, review of recently proposed neuromorphic computing platforms and ...
Giacomo Indiveri, Shih-Chii Liu
exaly   +5 more sources

Benchmarking of Neuromorphic Hardware Systems

Proceedings of the Neuro-inspired Computational Elements Workshop, 2020
With more and more neuromorphic hardware systems for the acceleration of spiking neural networks available in science and industry, there is a demand for platform comparison and performance estimation of such systems. This work describes selected benchmarks implemented in a framework with exactly this target: independent black-box benchmarking and ...
Christoph Ostrau, Christian Klarhorst, Michael Thies, Ulrich Rückert 0001   +3 more
openaire   +1 more source

Neuromorphic Selective Attention Systems

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003
Selective attention mechanisms allow sensory systems with limited processing capacity to function in real time independent of the size of the stimulus input space. They can be particularly useful in vision systems, where the amount of information provided by the sensors typically exceeds the system's processing capacity.
openaire   +1 more source

A Neuromorphic System

2007
The essential functions of neurons can be emulated electronically on silicon chips. We describe such a neuron analogue, or neuromorph, that is compact and low power, with sufficient flexibility that it could perform as a general-purpose unit in networks for controlling robots or for use as implantable neural prostheses.
David P. M. Northmore, John Moses, John G. Elias   +2 more
openaire   +1 more source