Talks, Videos, Podcasts

Conference Talks

Modeling the influence of feedback in the visual system
Shared Visual Representations in Humans and Machines Workshop, NeurIPS. December 2020. https://cbmm.mit.edu/video/modeling-influence-feedback-visual-system

Merging neural circuit models with deep learning
Interpretable computational neuroscience Workshop, Cosyne. March 2020.
https://www.youtube.com/watch?v=gYruwAtSBVM

Understanding Biological Visual Attention Using Convolutional Neural Networks
Cognitive Computational Neuroscience Conference. September 2017.
https://www.youtube.com/watch?v=viderYmdiH8

Synthesizing Experimental Data with Circuit Models (slides only)
Cosyne Manifoldsplainin’ Workshop, 2018.
https://neurdiness.files.wordpress.com/2018/03/cosyne_workhop2.pdf

Visual processing in an embodied artificial rodent trained through RL

MAIN conference, 2022. https://www.youtube.com/watch?v=3Ix_9-fvtyM&list=PLbQ17oTKprF0gxXfdiBs12fMBE9FOZM_9&index=20

Discrete Symbols vs. Continuous Neurons. Numerous Numerosity Conference, 2021. https://www.youtube.com/watch?v=hpw2QtmbZ9s&ab_channel=SEMF

Comparing visual representations from different forms of learning CVPR Workshop, 2022. https://www.youtube.com/watch?v=BlbHpV9oi9I&list=PLgMhAWVSMugcDQhgTa4lFh8-LKj-eQ3JF&index=3

Dissecting how recurrent neural networks process noisy images MPI CBS, 2021 .https://www.cbs.mpg.de/cbs-coconut/lindsay

VVTNS talk: Connecting performance benefits on visual tasks to neural mechanisms using convolutional neural networks https://www.youtube.com/watch?v=t_hFs4ZdUrI