Biological underpinnings for lifelong learning machines
The University of Texas at San Antonio · Intelligent Systems Research (United States) · Massachusetts Institute of Technology · University of California San Diego · Tufts University · Harvard University · University of Vermont · University of Southern California · University of British Columbia · Columbia University · University of Illinois Chicago · University of Chicago · HRL Laboratories (United States) · Georgia Institute of Technology · Vanderbilt University · University of California, Irvine · Argonne National Laboratory · The University of Texas at Austin · IT University of Copenhagen · Salk Institute for Biological Studies · Loughborough University · Rochester Institute of Technology · Baylor College of Medicine · Johns Hopkins University · Sandia National Laboratories · University of Massachusetts Amherst
- 2022-03-23
- 305
@article{kudithipudi2022biological,
title = {Biological underpinnings for lifelong learning machines},
author = {Dhireesha Kudithipudi and Mario Aguilar-Simon and Jonathan Babb and Maxim Bazhenov and Douglas Blackiston and Josh Bongard and Andrew Brna and Suraj Chakravarthi Raja and Nick Cheney and Jeff Clune and Anurag Daram and Stefano Fusi and Peter Helfer and Leslie M. Kay and Nicholas Ketz and Zsolt Kira and Soheil Kolouri and Jeffrey L. Krichmar and Sam Kriegman and Michael Levin and Sandeep Madireddy and Santosh Manicka and Ali Marjaninejad and Bruce L. McNaughton and Risto Miikkulainen and Zaneta Navratilova and Tej Pandit and Alice C. Parker and Praveen K. Pilly and Sebastian Risi and Terrence J. Sejnowski and Andrea Soltoggio and Nicholas Soures and Andreas S. Tolias and Darío Urbina-Meléndez and Francisco J. Valero‐Cuevas and Gido M. van de Ven and Joshua T Vogelstein and Felix Wang and Ron Weiss and Ángel Yanguas-Gil and Xinyun Zou and Hava T. Siegelmann},
year = {2022},
journal = {Nature Machine Intelligence},
doi = {10.1038/s42256-022-00452-0},
url = {https://doi.org/10.1038/s42256-022-00452-0},
}