Selected slides:
- Brain-Like AI: Alignment and Misalignment in NeuroAI. 2026-05-13 FLARE
[pdf] - NeuroAI: Building Digital Brains to Understand and Treat the Human Mind. 2026-01-28 NUS
[pdf] - Build, Test, Apply — A Pragmatic Agenda for NeuroAI. 2025-12-11, eBRAINS Annual Summit
[pdf] - Behavioral effects of model-guided causal intervention. 2025-08-15, Netherlands Institute for Neuroscience
[pdf, with Johannes Mehrer] - Build, Test, Apply — A Pragmatic Agenda for NeuroAI. 2025-08-11, CCN Biophysics Satellite Event
[pdf] - System Models of Vision and Language in the Primate Brain. 2025-07-23, Cajal NeuroAI Summer School at Champalimaund
[pdf] - Brain-Like Artificial Intelligence. 2025-07-01, EPFL Trustworthy Data Science and AI Workshop
[pdf] - Representations with a Purpose: Grounding Alignment in Use-Driven Questions. 2025-04-28, ICLR ReAlign
[pdf] - Vision and Language in Brains and Machines. 2025-01-22, Gatsby
[pdf] - Vision and Language in Brains and Machines. 2024-11-19, KU Leuven
[pdf] - Translating NeuroAI to Integratively Model the Brain. 2024-11-12, NIH BRAIN NeuroAI Workshop
[pdf] - Brains and Machines. 2024-09-02, GESDA Neurotechnology Workshop
[pdf] - Brain-Score Benchmarking Competition. 2024-08-06, CCN
[pdf] - Vision and Language in Brains and Machines. 2024-06-13, FMI Basel
[pdf] - Model-Guided Next-Generation Experiments. 2024-05-15, NeuroAI Symposium @ WUSTL
[pdf] - Vision and Language in Brains and Machines. 2024-06-13, AMLD
[pdf] - Vision and Language in Brains and Machines. 2023-11-21, Inaugural Lecture @ EPFL
[pdf, video] - Brain-Score Vision and Language. 2023-10-11, Open Data In Neuroscience (ODIN) @ MIT
[pdf, video] - Large Language Models Are Aligned With The Human Language System. 2023-08-25, NCCR Keynote
[pdf] - Evaluating and Building System Models of Brain-Like Visual Intelligence. 2023-05-01, Stanford CS375 “Large-Scale Neural Network Models for Neuroscience” hosted by Dan Yamins
[pdf] - Evaluating and Building System Models of Brain-Like Visual Intelligence. 2023-04-06, Flatiron Institute
[pdf] - Advancing Integrative Models of Human Intelligence with Brain-Score. 2023-03-07, AI@MIT Panel
[pdf, video] - System Models of Brain-Like Vision & Language. 2023-03-02, NeuroAI Boehringer Ingelheim Fonds conference chaired by Caswell Barry and Matt Botvinick
[pdf] - Evaluating and Building Models of Brain-Like Visual Intelligence. 2023-02-21, UMass Amherst “Neural Networks: Neuroscience & Engineering” hosted by Hava Siegelmann
[pdf] - Evaluating and Building Models of Brain-Like Visual Intelligence. 2023-02-09, Brown University “Deep Learning in Brains, Minds, and Machines” hosted by Thomas Serre
[pdf] - Primate Inferotemporal Cortex Neurons Generalize Better than Analogous Deep Neural Network Units. 2022-12-15, MPI Tuebingen
[pdf] - Building System Models of Brain-Like Visual Intelligence with Brain-Score. 2022-10-05, WorldWideNeuro SNUFA
[pdf] - De-supervising neural network models of the primate ventral stream. 2022-09-12, Kornfeld lab MPI
[pdf] - Artificial Neural Networks Converge to Brain-Like Processing in Vision and Language. 2022-04-06, Erlangen AI & ML meetup
[pdf] - The neural architecture of language: Integrative modeling converges on predictive processing. 2022-04-04, DNA Deviants Journal Club
[Clubhouse recording] - The future of Brain-Score. 2022-03-22, Cosyne 2022 Brain-Score workshop
[pdf] - The neural architecture of language: Integrative modeling converges on predictive processing. 2022-03-14, Boston College Hartshorne and Prud’hommeaux labs
[pdf] - BCS interviews. 2022-03-11, MIT
[pdf] - Thesis Defense. 2022-01-31, MIT BCS
[recording (passcode: Bra1ns@MIT!), pdf] - Topographic ANNs Predict the Behavioral Effects of Causal Perturbations in Primate Visual Ventral Stream IT. 2021-10-15, Champalimaund Research Symposium (CRS21)
[poster pdf] - Deep Topographic Models Predict the Behavioral Effects of Neural Perturbations in Primate Visual Cortex. 2021-10-05, C-BRIC
[pdf] - Topographic Neural Networks Predict the Behavioral Effects of Causal Perturbations in Primate IT Cortex. 2021-09-16, MIT Fiete Lab
[pdf] - Deep Spatial Models Predict the Behavioral Effects of Pharmacological Perturbations in Primate Visual Cortex. 2021-08-23, Takeda Fellowship Event
[poster pdf] - Topographic Neural Networks Predict the Behavioral Effects of Causal Perturbations in Primate IT Cortex. 2021-08-19, CBMM retreat
[pdf] - Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. 2021-07-05, Telluride Workshop
[pdf, video] - Integrative Neurally-Mechanistic Models of Primate Visual Object Recognition. 2021-06-03, MIT Yang Lab
[pdf] - The neural architecture of language: Integrative modeling converges on predictive processing. 2021-05-20, Stanford NLP
[pdf] - The neural architecture of language: Integrative modeling converges on predictive processing. 2021-03-09, MIT BCS Saxe Lab
[pdf] - Engineering an Artificial Biological Intelligence. Guest Lecture, Program for Software Engineering. 2021-01-15, UNA/TUM, LMU
[pdf] - CBMM Panel Discussion: Should models of cortex be falsifiable? 2020-12-07, MIT (with Tomaso Poggio, Gabriel Kreiman, Josh McDermott, Leyla Isik, Susan Epstein, Jenelle Feather)
[video] - The neural architecture of language: Integrative modeling converges on predictive processing. 2020-12-01, France NLP GDR TAL
[pdf] - Integrative Benchmarking to Advance Neural Models of Vision and Language. 2020-11-25, Virtual Computational Neuroscience Journal Club
[pdf, recording] - Integrative Benchmarking and the Value of Quantitative Models. 2020-10-19, CCN GAC linear/nonlinear workshop
[pdf] - Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream. 2020-10-06, C-BRIC Annual Review
[pdf] - Artificial Neural Networks Accurately Predict Language Processing in the Brain. 2020-08-18, MIT BCS Cog Lunch
[pdf, code] - Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. 2020-03-31, neuromatch.io contributed talk
[pdf, video (starts at 22:45)] - Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. 2019-12-12, NeurIPS Oral
[talk recording, slides pdf, slides powerpoint, poster pdf, code, 3min-video] - Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. 2019-10-29, MIT BCS Cog Lunch
[pdf] - Deep Networks and Pytorch. 2019-08-21, Harvard-MIT Computational Neuroscience Journal Club
[notebook, github] - Continual Learning with Self-Organizing Maps. 2018-12-07, NeurIPS Continual Learning Workshop
[poster pdf] - Aligning Deep Neural Networks and Visual Cortex. 2018-03-01, MIT IQ Launch
[pdf, powerpoint] - A Flexible Approach to Automated RNN Architecture Generation. 2018-02-14, Tenenbaum lab
[pdf, powerpoint] - Introduction to Deep Learning for Neuroscientists. 2017-10-27, MIT BCS Peer Lectures
[powerpoint, pdf] - Recurrent computations for pattern completion. 2016-20-10, Harvard Systems Club
[pdf]