Bookshelf

Some texts that have inspired me and/or sparked interests

Books

Natural General Intelligence: How Understanding the Brain Can Help Us Build AI by Christopher Summerfield

A Thousand Brains by Jeff Hawkins

Thinking, Fast and Slow by Daniel Kahneman

What We Owe the Future by William MacAskill

Conscious: A Brief Guide to the Fundamental Mystery of the Mind by Annaka Harris

Principles of Neural Design by Peter Sterling and Simon Laughlin

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science by Bradley Efron and Trevor Hastie

Papers

Kanwisher, N., Khosla, M., & Dobs, K. (2023). Using artificial neural networks to ask ‘why’ questions of minds and brains. Trends in Neurosciences, 46(3), 250-254.

Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017). Building Machines That Learn and Think Like People. Behavioral and brain sciences, 40, e253.

Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., … & Kietzmann, T. C. (2023). The neuroconnectionist research programme. Nature Reviews Neuroscience, 1-20.

Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017). Neuroscience-inspired artificial intelligence. Neuron, 95(2), 245-258.