Results 261 to 270 of about 6,675,279 (300)

Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. [PDF]

Front Neuroinform
Plesser HE.
europepmc   +1 more source

Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV. [PDF]

Sensors (Basel)
Peng C, Qiao G, Ge B.
europepmc   +1 more source

LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition. [PDF]

Front Neurorobot
Akcal U, Raikov IG, Gribkova ED, Choudhuri A, Kim SH, Gazzola M, Gillette R, Soltesz I, Chowdhary G.   +8 more
europepmc   +1 more source

Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates. [PDF]

J Neural Eng
Mishler J, Yun R, Perlmutter S, Rao RPN, Fetz E.   +4 more
europepmc   +1 more source

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Spiking Neural Network Integrated with Impact Ionization Field‐Effect Transistor Neuron and a Ferroelectric Field‐Effect Transistor Synapse

Advanced Materials
The integration of artificial spiking neurons based on steep‐switching logic devices and artificial synapses with neuromorphic functions enables an energy‐efficient computer architecture that mimics the human brain well, known as a spiking neural network
Byung Chul Jang, Sungjoo Lee, Haeju Choi   +2 more
exaly   +2 more sources

A multi-layer spiking neural network-based approach to bearing fault diagnosis

Reliability Engineering and System Safety, 2022
Tangfan Xiahou, Lin Zuo, Changhua Zhang   +2 more
exaly   +2 more sources

Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images

Biomedical Signal Processing and Control, 2023
Lung disease is a most common disease all over the world. A numerous feature extraction with classification models were discussed previously about the lung disease, but those methods having high over fitting problem, consequently, decrease the accuracy ...
R. Rajagopal, R. Karthick, P. Meenalochini, T. Kalaichelvi   +3 more
semanticscholar   +1 more source

DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization

IEEE Transactions on Neural Networks and Learning Systems, 2021
Bioinspired spiking neural networks (SNNs), operating with asynchronous binary signals (or spikes) distributed over time, can potentially lead to greater computational efficiency on event-driven hardware.
Nitin Rathi, K. Roy
semanticscholar   +1 more source

EESCN: A novel spiking neural network method for EEG-based emotion recognition

Comput. Methods Programs Biomed., 2023
BACKGROUND AND OBJECTIVE Although existing artificial neural networks have achieved good results in electroencephalograph (EEG) emotion recognition, further improvements are needed in terms of bio-interpretability and robustness. In this research, we aim
Feifan Xu, Deng Pan, Haohao Zheng, Yu Ouyang, Zhe Jia, Hong Zeng   +5 more
semanticscholar   +1 more source

Spiking Neural Network for Enhanced Mobile Robots’ Navigation Control

International Service Availability Symposium, 2023
Contemporary robotics primarily emphasizes autonomous mobile robots, and Artificial Neural Networks (ANNs) have demonstrated their proficiency in managing intricate, nonlinear systems with illusive models.
B. Abubaker, Saadaldeen Rashid Ahmed, Ari Taha Guron, M. Fadhil, Sameer Algburi, Bikhtiyar Friyad Abdulrahman   +5 more
semanticscholar   +1 more source