Litcius/Paper detail

Biological underpinnings for lifelong learning machines

Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh Bongard, Andrew Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Daram, Stefano Fusi, Peter Helfer, Leslie M. Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce L. McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice C. Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero‐Cuevas, Gido M. van de Ven, Joshua T Vogelstein, Felix Wang, Ron Weiss, Ángel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

2022Nature Machine Intelligence226 citationsDOIOpen Access PDF

Topics & Concepts

Lifelong learningComputer scienceArtificial intelligenceSet (abstract data type)Bridge (graph theory)Biological organismPerspective (graphical)Cognitive scienceHuman–computer interactionBiochemical engineeringEngineeringPsychologyBiologyBiological materialsAnatomyPedagogyProgramming languageAdvanced Memory and Neural ComputingNeural dynamics and brain functionPhotoreceptor and optogenetics research