Results 131 to 140 of about 27,240 (263)

A hybrid Spiking Neural Network-Transformer architecture for motor imagery and sleep apnea detection. [PDF]

Front Neurosci
Pham DT, Titkanlou MK, Mouček R.
europepmc   +1 more source

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

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

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

Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach. [PDF]

Neuroinformatics
Rudnicka Z, Szczepanski J, Pregowska A.
europepmc   +1 more source

Spiking Neural Networks [PDF]

, 2010
openaire   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

Biologically-constrained spiking neural network for neuromodulation in locomotor recovery after spinal cord injury. [PDF]

PLoS Comput Biol
Chia R, Lin CT.
europepmc   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

eXCube2: Explainable Brain-Inspired Spiking Neural Network Framework for Emotion Recognition from Audio, Visual and Multimodal Audio-Visual Data. [PDF]

Biomimetics (Basel)
Kasabov NK, Yang A, Wang Z, Abouhassan I, Kassabova A, Lappas T.   +5 more
europepmc   +1 more source