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Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
I Jeon, T Kim - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …
bottom-up approach based on the understanding of neuroscience is straightforward. The …
Spiking neural networks and bio-inspired supervised deep learning: a survey
Tree broad learning system for small data modeling
Broad learning system based on neural network (BLS-NN) has poor efficiency for small data
modeling with various dimensions. Tree-based BLS (TBLS) is designed for small data …
modeling with various dimensions. Tree-based BLS (TBLS) is designed for small data …
Secure and Flexible Coded Distributed Matrix Multiplication Based on Edge Computing for Industrial Metaverse
The Industrial Metaverse is driving a new revolution wave for smart manufacturing domain
by reproducing the real industrial environment in a virtual space. Real-time synchronization …
by reproducing the real industrial environment in a virtual space. Real-time synchronization …
Modularizing and assembling cognitive map learners via hyperdimensional computing
N McDonald - arxiv preprint arxiv:2304.04734, 2023 - arxiv.org
Biological organisms must learn how to control their own bodies to achieve deliberate
locomotion, that is, predict their next body position based on their current position and …
locomotion, that is, predict their next body position based on their current position and …
Synaptic plasticity models and bio-inspired unsupervised deep learning: a survey
Recently emerged technologies based on Deep Learning (DL) achieved outstanding results
on a variety of tasks in the field of Artificial Intelligence (AI). However, these encounter …
on a variety of tasks in the field of Artificial Intelligence (AI). However, these encounter …