Knowledge Tree
Relations (1)
related 2.32 — strongly supporting 4 facts
Machine learning and neuroscience are linked through interdisciplinary research that applies computational modeling to biological systems, as seen in the study of consciousness [1] and hypothesis generation in biology [2]. Furthermore, both fields are integrated in the study of human language [3] and the specific examination of attention mechanisms [4].
Facts (4)
Sources
A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org 1 fact
referenceGrace W Lindsay authored 'Attention in psychology, neuroscience, and machine learning', published in Frontiers in Computational Neuroscience in 2020.
Understanding LLM Understanding skywritingspress.ca 1 fact
perspectiveRichard Futrell argues that an information-theoretic approach provides a deeper explanation for the nature of human language than purely symbolic approaches, while linking the science of language with neuroscience and machine learning.
Life, Intelligence, and Consciousness: A Functional Perspective longnow.org 1 fact
perspectiveThe author argues that the 'hard problem' of consciousness, or how computation gives rise to a self, is explainable through the understanding of computational modeling gained from over a century of ethology, neuroscience, and machine learning.
Bioelectricity - The Levin Lab drmichaellevin.org 1 fact
referenceO’Brien, T., Stremmel, J., Pio-Lopez, L., McMillen, P., Rasmussen-Ivey, C., and Levin, M. (2024) published 'Machine Learning for Hypothesis Generation in Biology and Medicine: Exploring the latent space of neuroscience and developmental bioelectricity' in Digital Discovery, which explores the application of machine learning to developmental bioelectricity.