Results 131 to 140 of about 21,684 (244)

Spiking neural networks

Spiking Neural Networks (SNNs) sind eine spezielle Untergruppe von künstlichen neuronalen Netzen, die Informationen mittels diskreter Spike-Ereignisse verarbeiten. SNNs sind von besonderem Interesse aufgrund ihrer Energieeffizienz und ihrer Ähnlichkeiten zu biologischen neuronalen Netzen.Diese Arbeit hat zum Ziel, einen Überblick über das Gebiet der ...
openaire   +1 more source

Autapses enable temporal pattern recognition in spiking neural networks. [PDF]

PLoS One
Yaqoob M, Steuber V, Wróbel B.
europepmc   +1 more source

Multimodal Layer‐Crossing Interrogation of Brain Circuits Enabled by Microfluidic Axialtrodes

Advanced Science, EarlyView.
The study introduces a flexible microfluidic axialtrode that integrates optical, electrical, and chemical modalities within a single polymer fiber. By redistributing electrodes and fluidic channels along the fiber axis via angled cleaving, it enables simultaneous optogenetic stimulation, electrophysiological recording, and drug delivery across brain ...
Kunyang Sui, Neela K. Codadu, Daman Rathore, Guanghui Li, Marcello Meneghetti, Anders L. Bøcker, Rune W. Berg, Rob C. Wykes, Christos Markos   +8 more
wiley   +1 more source

Magnetic Skyrmion Neurons with Homeostasis for Spiking Neural Networks. [PDF]

ACS Nano
Yang S, Moon KW, Ju TS, Son JW, Kim T, Jeong YJ, Park BH, Park S, Hwang C.   +8 more
europepmc   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Spiking Neural Networks [PDF]

, 2010
openaire   +1 more source

Interlayer Dzyaloshinskii-Moriya Interaction in Synthetic Ferrimagnets for Spiking Neural Networks. [PDF]

Adv Sci (Weinh)
Li S, Chen X, Fattouhi M, Huang T, Lv C, de Jong MCH, Li P, Zhu D, Lin X, Garcia-Sanchez F, Martinez E, Mangin S, Koopmans B, Zhao W, Lavrijsen R.   +14 more
europepmc   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Model-agnostic linear-memory online learning in spiking neural networks. [PDF]

Nat Commun
Wang C, Dong X, Ji Z, Xiao M, Jiang J, Liu X, Huan Y, Wu S.   +7 more
europepmc   +1 more source

Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor

Advanced Science, EarlyView.
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid, Usman Safder, Sobia Ali Khan, Anh‐Tuan Pham, Muhammad Sheeraz, Nguyen‐Hoang Dang, Duy Le Thanh, Zeeshan Tahir, Faisal Maqbool, Koo‐Hyun Chung, Sunglae Cho, Jungdae Kim, Yong Soo Kim   +12 more
wiley   +1 more source