Biological and Artificial Intelligence

Neuro140 | Neuro 240

READING MATERIALS

01/26/2021 Gabriel Kreiman Neuroscience-Inspired Artificial Intelligence. Hassabis et al. Neuron 2017
02/02/2021 Thomas Serre

Deep learning: the good, the bad, and the ugly. Serre et al. Annual Review of Neuroscience 2019

02/09/2021 Mackenzie Mathis DeepLabCut: markerless pose estimationof user-defined body parts with deep learning
02/16/2021 Jan Drugowitsch Probabilistic brains: knowns and unknowns. Nature Neuroscience 2013
02/23/2021 Demba Ba Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. PMLR 2020
03/02/2021 Tomer Ullman Core knowledge. Developmental Science 2007
03/09/2021 Cengiz Pehlevan Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research 1997
03/23/2021 Haim Sompolinsky Computational neuroscience: beyond the local circuit. Current Opinion in Neurobiology 2014
03/30/2021 Sam Gershman A Unifying Probabilistic View of Associative Learning. PLoS Computational Biology 2015.
04/06/2021 Lucas Janson Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection. Journal of the Royal Statistics Society 2018.
04/13/2021 Andrei Barbu Grounding semantic parsing using caption videos. Empirical Methods in Natural Language Processing (EMNLP) 2018.
02/23/2021 Lakshminarayanan Mahadevan The biological principles of swarm intelligence. Swarm Intelligence  2007.
04/27/2021 Aude Oliva Learning deep features for scene recognition using places database

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