Editorial: Functional microcircuits in the brain and in artificial intelligent systems

Editorial on the Research Topic Functional microcircuits in the brain and in artificial intelligent systems Fundamental principles underlying higher-order cognitive functions remain elusive, but recent breakthroughs in neurophysiology and deep learning offer new perspectives. [...]artificial neural networks were originally inspired by structures of the brain (McCulloch and Pitts, 1943) and could be trained to perform complex functions similar to human perception/cognition by deep learning (DL) (Lecun et al., 2015). Toward next-generation artificial intelligence: catalyzing the NeuroAI revolution. arXiv preprint arXiv:2210.08340. doi: 10.48550/arXiv.2210.08340 Jung H. Lee1*, Yoonsuck Choe2, Salva Ardid3, Reza Abbasi-Asl4, Michelle McCarthy5 and Brian Hu6 * 1Pacific Northwest National Laboratory, Seattle, WA, United States * 2Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States * 3Department of Applied Physics and Institut d'Investigació per a la Gestió Integrada de Zones Costaneres (IGIC), Universitat Politècnica de València, Gandia, Spain * 4Department of Neurology, University of California, San Francisco, San Francisco, CA, United States * 5Department of Mathematics and Statistics, Boston University, Boston, MA, United States * 6Kitware, Inc., Arlington, VA, United States