Výsledky vyhledávání - "hybrid neural coding and learning framework"

A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks

Autoři: Xinyi Chen Qu Yang Jibin Wu a další

Přispěvatelé: Xinyi Chen Qu Yang Jibin Wu a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46:3064-3078

Témata: FOS: Computer and information sciences, Hybrid neural coding and learning framework, Layer-wise learning, Neuromorphic computing, Spiking neural network, Neural coding, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38055367
http://arxiv.org/abs/2305.16594

A Complexity Theory-Based Novel AI Algorithm for Exploring Emotions and Affections by Utilizing Artificial Neurotransmitters

Autoři: Gerardo Iovane Raffaella Di Pasquale

Zdroj: Electronics ; Volume 14 ; Issue 6 ; Pages: 1093

Témata: EEG, emotive and affective computing, neuromorphic computing, neurons, biological information theory, learning systems, hybrid neural coding and learning framework, neural coding, spiking neural network, entropy, representation of information, assignment strategy, hidden layer, ANN model

Popis souboru: application/pdf

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics14061093

Dostupnost: https://doi.org/10.3390/electronics14061093