Artificial Neural Networks for Neuroscientists: A Primer

• Published in: Neuron (Cambridge, Mass.) Vol. 107; no. 6; pp. 1048 - 1070
• Main Authors: Yang, Guangyu Robert, Wang, Xiao-Jing
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 23.09.2020; Elsevier Limited
• Subjects: Algorithms; Animal cognition; Animals; Architecture; Artificial intelligence; Attention; Brain - physiology; Brain research; Deep learning; Humans; Ingredients; Learning algorithms; Machine learning; Mathematical models; Models, Neurological; Nervous system; Neural networks; Neural Networks, Computer; Neurophysiology; Neurosciences

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience. Besides offering powerful techniques for data analysis, ANNs provide a new approach for neuroscientists to build models for complex behaviors, heterogeneous neural activity...