Neuroscience
5 years ago

Revolutionizing Neuroscience: Deep Learning Unlocks Brain's Mysteries

Nature Neuroscience
A deep learning framework for neuroscience
Blake A. Richards, Timothy Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafał Bogacz, Amelia J. Christensen, Claudia Clopath, Rui Ponte Costa, Archy O. de Berker, Surya Ganguli, Colleen J. Gillon, Danijar Hafner, Ádám Kepecs, Nikolaus Kriegeskorte, Peter E. Latham, Grace W. Lindsay, Kenneth D. Miller, Richard Naud, Christopher C. Pack, Panayiota Poirazi, Pieter R. Roelfsema, João Sacramento, Andrew Saxe, Benjamin Scellier, Anna C. Schapiro, Walter Senn, Greg Wayne, Daniel Yamins, Friedemann Zenke, Joel Zylberberg, Denis Thérien, Konrad Körding

Paper Summary

The article discusses how deep learning, inspired by the brain, can help us understand how the brain works. By focusing on key components like objectives, architecture, and learning rules, we can make progress in both artificial intelligence and neuroscience. This approach can lead to faster advancements in understanding how the brain performs tasks like thinking and moving.

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