Further Study
Additional information about the speakers’ research and publications can be found at their websites:
- Surya Ganguli, Neural Dynamics and Computation Lab, Stanford
- Tomaso Poggio, MIT
- Haim Sompolinsky, Harvard and Neurophysics Lab, Hebrew University of Jerusalem
Advani, M., and S. Ganguli. 
“Statistical Mechanics of High-Dimensional Inference.” (PDF) (2016).
Anselmi, F., J. Z. Leibo, et al. “Unsupervised Learning of Invariant Representations.” Theoretical Computer Science 633 (2016): 112–21.
Babadi, B., and H. Sompolinsky. “Sparseness and Expansion in Sensory Representations.”(PDF - 2.8MB) Neuron 83 (2014): 1213–26.
Gao, P., and S. Ganguli. “On Simplicity and Complexity in the Brave New World of Large-Scale Neuroscience.” (PDF) Current Opinion in Neurobiology 32 (2015): 148–55.
Poggio, T. “Deep Learning: Mathematics and Neuroscience.” (PDF - 1.2MB) Center for Brains Minds & Machines Views & Reviews (2016).
Saxe, A., J. McClelland, et al. “Learning Hierarchical Category Structure in Deep Neural Networks.” (PDF) Proceedings 35th Annual Meeting of the Cognitive Science Society (2013): 1271–76.
Serre, T., G. Kreiman, et al. “A Quantitative Theory of Immediate Visual Recognition.” (PDF) Progress in Brain Research 165 (2007): 33–56.
Sompolinsky, H. “Computational Neuroscience: Beyond the Local Circuit.” (PDF) Current Opinion in Neurobiology 25 (2014): 1–6.