Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

no code implementations • 17 Aug 2023 • Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, Rufin VanRullen

From these theories we derive "indicator properties" of consciousness, elucidated in computational terms that allow us to assess AI systems for these properties.

The neuroconnectionist research programme

no code implementations • 8 Sep 2022 • Adrien Doerig, Rowan Sommers, Katja Seeliger, Blake Richards, Jenann Ismael, Grace Lindsay, Konrad Kording, Talia Konkle, Marcel A. J. van Gerven, Nikolaus Kriegeskorte, Tim C. Kietzmann

Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism.

Philosophy

Understanding the functional and structural differences across excitatory and inhibitory neurons

no code implementations • 25 Sep 2019 • Sun Minni, Li Ji-An, Theodore Moskovitz, Grace Lindsay, Kenneth Miller, Mario Dipoppa, Guangyu Robert Yang

We found that neurons that project to higher-order areas will have greater stimulus selectivity, regardless of whether they are excitatory or not.