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

The Spike by Mark Humphries

Thinking, Fast and Slow by Daniel Kahneman

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.