Brain-inspired learning in artificial neural networks: A review
2024年5月9日 · Artificial neural networks (ANNs) have emerged as an essential tool in machine learning, achieving remarkable success across diverse domains, including image and speech generation, game playing, and robotics.
Brain-Inspired Learning, Perception, and Cognition: A …
2024年5月29日 · Compared with other reviews, this article provides a comprehensive review of brain-inspired deep learning algorithms for learning, perception, and cognition from microscopic, mesoscopic, macroscopic, and super-macroscopic perspectives.
Brain-inspired learning in artificial neural networks: a review
2023年5月18日 · This paper presents a comprehensive review of current brain-inspired learning representations in artificial neural networks. We investigate the integration of more biologically plausible mechanisms, such as synaptic plasticity, to enhance these networks' capabilities.
Brain-inspired replay for continual learning with artificial neural ...
2020年8月13日 · We propose a new, brain-inspired variant of replay in which internal or hidden representations are replayed that are generated by the network’s own, context-modulated feedback connections.
Brain-Inspired Machine Learning | Computing
With data from human brain activity signals, we aim to understand the sequence of events that enable a person to learn and translate these insights into new brain-inspired training algorithms for artificial neural networks.
The Brain-Inspired Approach to AI – Explained for Developers
2023年5月8日 · In this article, we will attempt to understand the brain-inspired approach to building AI systems. Here's what we'll cover: How we'll approach this; The history of the brain-inspired approach to AI; How the human brain works and how it's related to AI systems; Core principles behind the brain-inspired approach to AI
Editorial: Brain-inspired computing: Neuroscience drives the ...
In an attempt of practical applications for bio-inspired SNN, Vijayan and Diwakar present a cerebellum-inspired SNN architecture that can efficiently perform pattern classification with an accuracy comparable to state-of-the-art machine learning algorithms.
Brain-inspired computing and machine learning - Springer
2020年4月3日 · The authors are introducing a new heterogeneous machine learning model, called operational neural network (NN). It can encapsulate neurons with any set of operators, in order to boost diversity and to learn highly complex and multimodal functions or spaces.
[2312.09257] Brain-Inspired Machine Intelligence: A Survey of ...
2023年12月1日 · In this survey, we examine algorithms for conducting credit assignment in artificial neural networks that are inspired or motivated by neurobiology.
Brain-inspired global-local learning incorporated with ... - Nature
2022年1月10日 · Here, we present a neuromorphic global-local synergic learning model by introducing a brain-inspired meta-learning paradigm and a differentiable spiking model incorporating neuronal dynamics...
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