Below are selected talk slides (with available recordings) and conference posters. For all talk slides and posters, see my CV.

Selected Talks

(Caveat lector: Use these slides at your own discretion! They summarize what I thought at the time I gave the talk, and as a result can sometimes be outdated or inaccurate. When in doubt, refer to my papers or contact me with any questions.)

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation. WWNeuRise Invited Talk. 2 November 2022. Virtual.

A goal-driven approach to systems neuroscience. PhD Dissertation Defense Talk. 15 March 2022. Stanford, CA. [talk recording]

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks. Neuromatch 4.0 Flash Talk (also a NeurIPS 2021 Spotlight Presentation). Longer version presented at Stanford CNJC. 1 December 2021. Virtual. [talk recording]

A model-based approach towards identifying the brain’s learning algorithms. Stanford Mind, Brain, Computation, and Technology Seminar. 25 January 2021. Virtual. [talk recording]

Identifying learning rules from neural network observables. Neural Information Processing Systems (NeurIPS) 2020 Spotlight Presentation. 10 December 2020. Virtual. [talk recording] [Neuromatch 3.0 talk recording w/ Q&A]

Assessing the role of feedback connections in artificial and biological neural networks. Stanford Mind, Brain, Computation, and Technology Seminar. 18 May 2020. Virtual.

Two routes to scalable credit assignment without weight symmetry. Presented with J. Sagastuy-Brena. International Conference on Machine Learning (ICML) 2020. 12-18 July 2020. Virtual. [talk recording]

Task-driven convolutional recurrent neural network models of dynamics in higher visual cortex. Society for Neuroscience (SfN) 2019. Minisymposium on Artificial Intelligence and Neuroscience. 21 October 2019. Chicago, IL.

Task-driven recurrent models & dissecting neural computations in silico. Bernstein Conference 2019. Brain against the Machine Workshop. 18 September 2019. Berlin, Germany.

Measuring and modeling the weight dynamics of many synapses onto diverse cell-types in vivo. Computational and Systems Neuroscience (Cosyne) 2019. Talk T-36. 3 March 2019. Lisbon, Portugal. [talk recording]

Convolutional recurrent neural network models of dynamics in higher visual cortex. Vision Sciences Society (VSS) Meeting 2018. 21 May 2018. St. Pete Beach, FL.

Selected Conference Posters

A. Nayebi*, S. Srivastava*, S. Ganguli, D.L.K. Yamins. Identifying learning rules from neural network observables. Computational and Systems Neuroscience (Cosyne) 2021. Poster I-116. 24 February 2021.

H. Tanaka, A. Nayebi, N. Maheswaranathan, L.T. McIntosh, S.A. Baccus, S. Ganguli. From deep learning to mechanistic understanding in neuroscience: revealing computational mechanisms of retinal prediction via model reduction. Computational and Systems Neuroscience (Cosyne) 2020. Poster III-62. 29 February 2020. Denver, CO.

A. Nayebi*, J.B. Melander*, B. Jongbloets, T. Mao**, H. Zhong**, S. Ganguli**. Measuring and modeling the weight dynamics of many synapses onto diverse cell-types in vivo. Computational and Systems Neuroscience (Cosyne) 2019. Talk T-36. 3 March 2019. Lisbon, Portugal.

M. Schrimpf, K. Kar, P. Bashivan, A. Nayebi, J.J. DiCarlo, J. Kubilius, H. Hong, N.J. Majaj, R. Rajalingham, E.B. Issa, D.M. Bear, J. Prescott-Roy, JK. Schmidt, D.L.K. Yamins. Using brain-score to evaluate and build neural networks for brain-like object recognition. Computational and Systems Neuroscience (Cosyne) 2019. Poster III-61. 2 March 2019. Lisbon, Portugal.

A. Nayebi*, J. Kubilius*, D.M. Bear, S. Ganguli, J.J. DiCarlo, D.L.K. Yamins. Convolutional recurrent neural network models of dynamics in higher visual cortex. Computational and Systems Neuroscience (Cosyne) 2018. Poster III-83. 3 March 2018. Denver, CO.

N. Maheswaranathan*, L.T. McIntosh*, D.B. Kastner, L. Brezovec, A. Nayebi, S. Ganguli, S.A. Baccus. Deep models of retinal responses to natural scenes generalize to diverse structured stimuli. Computational and Systems Neuroscience (Cosyne) 2018. Poster III-8. 3 March 2018. Denver, CO.

L.T. McIntosh*, N. Maheswaranathan*, A. Nayebi, S. Ganguli, S.A. Baccus. Deep convolutional neural network models of the retinal response to natural scenes. Computational and Systems Neuroscience (Cosyne) 2016. Poster III-26. 27 February 2016. Salt Lake City, UT.