Welcome to NeuroAI-UW seminar, a regular weekly seminar for UW community organized by NeuroAI Shlizerman Lab.
Meetings are currently held hybridly (Summer & Fall 2020, Winter & Spring & Fall 2021-2023, Winter 2024). Contact us if you would like to join! UW students can enroll into designated courses: AMATH 500L or EE 598F to participate in the seminarial activities.
New: We will be positing some of the invited visitors talks in NeuroAI YouTube playlist.
This quarter, our lab is focusing on reading papers related to our ongoing research in the areas of AI and NeuroAI. We host a weekly seminar where we discuss cutting-edge research from these fields.
- Time: Every Friday, 11:00 AM - 12:00 PM PDT
- Format: Presentations and discussions led by members of each group
Student Organizer: Xiulong Liu
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 04/18/2025 | 1. Stabilizing brain-computer interfaces through alignment of latent dynamics 2. Improved Distribution Matching Distillation for Fast Image Synthesis | 1. Victoria Pierce, Jimin Kim 2. Yang Zheng, Jinlin Xiang, Bailey Hall |
| 04/25/2025 | 1. ConceptFusion: Open-set Multimodal 3D Mapping 2. Dynamically Learning to Integrate in Recurrent Neural Networks | 1. Mingfei Chen, Xiulong Liu, Zijun Cui 2. James Hazelden, Saba Heravi, Vishya Adipudi |
| 05/02/2025 | 1. Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark | 1. Hao Fang, Brian Deng, Aida Mustafanova |
| 05/09/2025 | 1. 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning 2. Neural Encoding and Decoding at Scale | 1. Zelin Xu, Brian Deng 2. Saba Heravi, Jimin Kim |
| 05/23/2025 | Guest Speaker: Krishna Murthy Jatavallabhula (Research Scientist at Meta) |
This quarter, our lab is focusing on two Hackathon projects in AI and Neuroscience. Inspired by papers we've studied in previous quarters, these projects aim to bridge the gap between theoretical knowledge and practical implementation.
We host a weekly seminar to discuss relevant research and share progress updates from each group.
- Time: Every Friday, 11:00 AM - 12:00 PM PDT
- Format: Presentations and discussions led by members of each group
Hackathon projects leads:
- AI: Xiulong Liu, Yang Zheng
- Neuroscience: Trung Le, Jimin Kim
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 01/24/2025 01/31/2025 | Hackathon project brainstorming: 1. Benchmarking Performance of existing Audio-Visual LLMs 2. NeuroCodec | All members |
| 02/07/2025 | 1. AV LLM: VideoLLaMA 2 Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs 2. High Fidelity Neural Audio Compression | 1. Xiulong Liu, Yang Zheng, Zijun Cui, Jinlin Xiang, James Hazelden, Mingfei Chen, Hao Fang 2. Trung Le, Brian Deng, Saba Heravi, Jimin Kim, Bailey Hall, Jingyuan Li |
| 02/14/2025 | 1. Thinking in Space: How Multimodal LLMs see, Remember, and Recall Spaces 2. Towards a “universal translator” for neural dynamics at single-cell, single-spike resolution | 1. Xiulong Liu, Yang Zheng, Zijun Cui, Jinlin Xiang, James Hazelden, Mingfei Chen, Hao Fang 2. Trung Le, Brian Deng, Saba Heravi, Jimin Kim, Bailey Hall, Jingyuan Li |
| 02/21/2025 | Hackathon Preparation Meeting | All members |
| 02/28/2025 | One-day Hackathon | All members |
| 03/07/2025 | Guest Speaker Alexandre Défossez (Chief Exploration Officer at Kyutai) | |
| 03/14/2025 | Guest Speaker Jihan Yang (postdoctoral associate at NYU Courant) |
This quarter focuses on exploring and advancing research in three interconnected domains: AI, NeuroAI, and Neuroscience. We are passionate about understanding intelligence from both artificial and biological perspectives, bridging the gap between technology and science. We host a weekly seminar where we discuss cutting-edge research from these fields. We host a weekly seminar to discuss cutting-edge research and foster collaboration.
- Time: Every Friday, 11:00 AM - 12:00 PM PDT
- Format: Presentations and discussions led by domain experts or lab members
Domain Leads
- AI: Yang Zheng
- NeuroAI: Trung Le
- Neuroscience: Jimin Kim
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 10/25/2024 | Brain-to-text Decoding with Context-aware Neural Representations and Large Language Models | Eric Martin, Jinlin Xiang, Mingfei Chen, Ted Zhong, Xiulong Liu, Yang Zheng, Yuan Gao |
| 11/01/2024 | The FlyWire connectome: neuronal wiring diagram of a complete fly brain | Trung Le, Jingyuan Li, Hao Fang, James Hazelden, Keith Phou, Bailey Hall |
| 11/08/2024 & 11/15/2024 | Tell What You Hear From What You See - Video to Audio Generation Through Text | Jimin Kim, Saba Heravi, Victoria Pierce, Weijun Liu, Jiawen Liu, Deeksha Prabhu, Dongyi Yang |
| 11/22/2024 | Guest Speaker Sven Dorkenwald (Allen Institute) | |
| 11/29/2024 | Thanksgiving Break | |
| 12/06/2024 | Guest Speaker Xiulong Liu (UW NeuroAI) | |
| 12/06/2024 | Guest Speaker Francis Robert Willett (Neural Prosthetics Translational Laboratory at Stanford University) |
This quarter, we review impactful alternative architectures recently proposed in the NeuroAI literature. The seminar is held every Friday from 11:00 am - noon PDT in a hybrid manner.
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 03/29/2024 | Brainstorming Meeting & Final Presentations on NeuroAI and LLMs (Team 1, 2) | Mingfei Chen, Jingyuan Li, Frenda Lin, Trung Le, Kun Su, Yang Zheng, Jinlin Xiang, Jimin Kim, Xiulong Liu, Eunki Chung, Rahul Biswas |
| 04/05/2024 | Organizational & Intro Meeting & Final Presentations on NeuroAI and LLMs (Team 3) | Saba Heravi, James Hazelden, Ari Asarch, Yoonseo Orite, Kavya Balasubramanian |
| 04/12/2024 | Energy Transformer | James Hazelden, Saba Heravi, Yang Zheng |
| 04/19/2024 | State Space Models: Mamba: Linear-Time Sequence Modeling with Selective State Spaces & Efficiently Modeling Long Sequences with Structured State Spaces | Victoria Pierce, Mingfei Chen, and Xiulong Liu |
| 04/26/2024 | RNN Alternatives: RWKV: Reinventing RNNs for the Transformer Era & Hierarchically Gated Recurrent Neural Network for Sequence Modeling | Jinlin Xiang, Jesse Owens, and Jimin Kim |
| 05/03/2024 | MLP Mixer: An All MLP Architecture for Vision & The Forward-Forward Algorithm | Adithya Gowda Baragur, Seb Schwab, and Trung Le |
| 05/10/2024 | Building transformers from neurons and astrocytes & NISQ QNN: Classification with Quantum Neural Networks on Near Term Processors | Ian Quah, Sean Robert Gamer, and Jingyuan Li |
Thanks Jinlin, Mingfei and Saba for being Student Organizers.
In this quarter, we will prepare seminars on 3 critical topics related to NeuroAI and LLMs (Large Language Models). The seminar will be held every Friday 11:00am - 12:00pm (PST) hybridly.
| Topic | Student Presenter |
|---|---|
| LLM-Enhanced Neural Decoding | Mingfei Chen, Jingyuan Li, Frenda Lin, Trung Le, Kun Su, Yang Zheng |
| Domain Adaptation of Pre-trained LLM for Research | Jinlin Xiang, Jimin Kim, Xiulong Liu, Eunki Chung, Rahul Biswas |
| Interpretation of Neural Networks in LLMs | Saba Heravi, James Hazelden, Ari Asarch, Yoonseo Orite, Kavya Balasubramanian |
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 1/12/2024 | Organizational & Intro Meeting on NeuroAI and LLMs | |
| 1/19/2024 | Decoding Speech Perception from Non-Invasive Brain Recordings | Mingfei Chen, Jingyuan Li, Frenda Lin, Trung Le, Kun Su, Yang Zheng |
| 1/26/2024 | Large Language Models Struggle to Learn Long-Tail Knowledge | Jinlin Xiang, Jimin Kim, Xiulong Liu, Eunki Chung, Rahul Biswas |
| 2/02/2024 | Hopfield Networks is All You Needs | Saba Heravi, James Hazelden, Ari Asarch, Yoonseo Orite, Kavya Balasubramanian |
| 2/09/2024 | Guest SpeakerJean-Rémi King (École Normale Supérieure / Meta AI) | |
| 2/16/2024 | Guest SpeakerNikhil Kandpal (University of Toronto) | |
| 2/23/2024 | Guest Speaker: TBA |
In this quarter, we will continue to present tutorials and organize discussions on 6 critical topics related to NeuroAI.
| Topic | Student Presenter |
|---|---|
| Deep Learning Programming Tools for NeuroAI | Yang Zheng, Jazlin Taylor |
| Design, Programing and Publishing OpenSource Code for NeuroAI | Jinlin Xiang, Trung Le, Jimin Kim |
| Data and Benchmarking Practices in NeuroAI | Amisha Himanshu Somaiya, Trung Le |
| Neuro, AI and NeuroAI Ethics | Rahul Biswas, Jingyuan Li |
| Hardware Acceleration for DL and NeuroAI | Saba Heravi, James Hazelden |
| LLMs and Their Relation to NeuroAI | Mingfei Chen, Xiulong Liu, Pavan Kumar Anand |
In this quarter, we will prepare and present tutorials on 6 critical topics related to NeuroAI.
| Topic | Student Presenter |
|---|---|
| Deep Learning Programming Tools for NeuroAI | Astitwas S. Lathe, Yang Zheng, Wenxuan Hu |
| Design, Programing and Publishing OpenSource Code for NeuroAI | Jimin Kim, Jinlin Xiang, Trung Le |
| Data and Benchmarking Practices in NeuroAI | Ayush Singh, Chunqing Cao |
| Neuro, AI and NeuroAI Ethics | Rahul Biswas, Atharva Mattam, James Hazelden |
| Hardware Acceleration for DL and NeuroAI | Saba Heravi, Ruihong Yin, Carter Rowell |
| LLMs and Their Relation to NeuroAI | Xiulong Liu, Mingfei Chen, Jingyuan Li |
In this quarter, we will prepare and present tutorials on 5 critical topics related to NeuroAI.
| Topic | Student Presenter |
|---|---|
| Deep Learning Programming Tools for NeuroAI | Sadjyot Gangolli, Mingfei Chen, Xiulong Liu, Hanna Lee |
| Design, Programing and Publishing OpenSource Code for NeuroAI | Jimin Kim, Kun Su, Pranav Kamath, Jingyuan Li |
| Data and Benchmarking Practices in NeuroAI | Jinlin Xiang, Trung Le, Ayush Singh |
| Neuro, AI and NeuroAI Ethics | Rahul Biswas, Ryan Vogt, Xinwen Liu |
| Hardware Acceleration for DL and NeuroAI | Yang Zheng, James Hazelden, Saba Heravi |
Thanks Mingfei and Jingyuan for being Student Organizer.
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 10/07/2022 | Organizational & Intro Meeting on Energy Based Models | |
| 10/14/2022 | A Path Towards Autonomous Machine Intelligence | James Hazelden, Saba Heravi, Andrew Line, Yang Zheng. |
| 10/21/2022 | The surprising effectiveness of representation learning for visual imitation | Hanna Lee, Jimin Kim |
| 10/28/2022 | Self-supervised learning of pretext-invariant representations | Jinlin Xiang, Trung Le |
| Barlow twins: Self-supervised learning via redundancy reduction | Raphael Bechtold, Ryan V | |
| 11/04/2022 | Understanding the world through action | Ze Xia (Lucas) Wang, Saba Heravi |
| Deep hierarchical planning from pixels | Ruihong Yin, Pinyi Wang, Xiulong Liu | |
| 11/11/2022 | Break Veterans Day | |
| 11/18/2022 | Guest SpeakerYubei Chen (New York University) | |
| 11/25/2022 | Break Thanksgiving | |
| 12/02/2022 | Break NeurIPS | |
| 12/09/2022 | NeurIPS Updates | |
| 12/16/2022 | Guest SpeakerKuan Fang (UC Berkeley) |
Thanks Ryan Vogt and Jingyuan Li for being the Student Organizers.
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 01/14/2022 | Organizational Meeting | |
| 01/21/2022 | Where is all the nonlinearity: flexible nonlinear modeling of behaviorally relevant neural dynamics using recurrent neural networks | Michael Nolan, Saba Heravi, Ryan Vogt, Zekun Chen |
| Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity | Kun Su, Xiangyu Gang, Pamel Kang, Jingyuan Li | |
| 01/28/2022 | Neural Active Learning with Performance Guarantees | Xiulong Liu, James Hazelden, Jinlin Xiang, Liem Vu |
| Dynamic Causal Modelling Revisited | Rahul Biswas, Astitwa Sarthak Lathe, Trung Le | |
| 02/04/2022 | A3D3 NeuroAI | |
| OpenLabCluster Demo | Jingyuan Li (UW ECE), Moishe Kesselman (UW CSE) | |
| Detection of Sleep Spindles with FPGA | Xiaohan Liu (UW ECE), Aidan Yokuda (UW ECE) | |
| Somatotopic representation of texture sensation in the primary somatosensory and motor cortices of mice | Megan Lipton (Purdue Neurobiology) | |
| 02/11/2022 | Guest SpeakerEva L. Dyer (Gatech) | |
| 02/18/2022 | Stabilizing Dynamical Systems via Policy Gradient Methods | Jimin Kim, Mingfei Chen, Aidan Yokuda |
| AugMax: Adversarial Composition of Random Augmentations for Robust Training | Yang Zheng, Xiaohan Liu, Yujia Liu, Xinyue Sun | |
| 02/25/2022 | Guest SpeakerMax Simchowitz (MIT) | |
| 03/04/2022 | A3D3 NeuroAI | |
| Optimizing brain stimulation using deep learning | Seungbin Park (Purdue) | |
| Quantifying the effect of stimulation protocols on rapid network connectivity inference | Tomohiro Ouchi (UW) | |
| Modeling Neural Population Activity with Spatiotemporal Transformer | Trung Le (UW) | |
| 03/11/2022 | Guest Speaker: Omid G. Sani (USC) |
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 04/02/2021 | Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking | Chuanmudi Qin, Xiulong Liu, Kun Su |
| Backpropagation and the brain | Ben Francis, Felix Tse, Trung Le | |
| 04/09/2021 | Understanding self-supervised Learning Dynamics without Contrastive Pairs | Jingyuan Li, Ayesha Ghaffar, Zidan Luo |
| Closed-Form Factorization of Latent Semantics in GANs | Jingxi Yu, Xiangyu Gao, Yang Zheng | |
| 04/16/2021 | Guest Speaker: Anqi Wu (Columbia University) | |
| 04/23/2021 | Non-reversible Gaussian processes for identifying latent dynamical structure in neural data | Rahul Biswas, Ryan Vogt, Michael Nolan |
| Modeling behaviorally relevant neural dynamics with a novel preferential subspace identification | Saba Heravi, Astitwa Lathe, Yiren Wang, Jimin Kim | |
| 04/30/2021 | Guest Speaker: Bolei Zhou (The Chinese University of Hong Kong) | |
| 05/07/2021 | New Papers Discussion | |
| 05/14/2021 | ICLR Paper Presentation | |
| 05/21/2021 | No Meeting | |
| 05/28/2021 | Guest Speaker: Omid G. Sani (USC) | |
| 06/04/2021 | Guest Speaker: Yuandong Tian (Facebook) |
| Date | Paper/Activity | Student Presenter |
|---|---|---|
| 10/02/2020 | Organizational Meeting | |
| 10/09/2020 | Learning a Prior over Intent via Meta-Inverse Reinforcement Learning | Yang Zheng, Rahul Biswas |
| Universality and Individuality in recurrent networks | Michael Nolan, Ben Francis | |
| 10/16/2020 | Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons | Jinlin Xiang, Ryan Vogt |
| Low-dimensional dynamics for working memory and time encoding | Jimin Kim, Trung Le, David Babin | |
| 10/23/2020 | Guest Speaker: Niru Maheswaranathan | |
| 10/30/2020 | Rotational Dynamics Reduce Interference Between Sensory and Memory Represenatations | Jingyuan Li, Saba Heravi |
| Foley Music: Learning to Generate Music from Videos | Kun Su, Xiulong Liu | |
| 11/06/2020 | Guest Speaker: Christopher Cueva | |
| 11/13/2020 | No meeting | |
| 11/20/2020 | Guest Speaker: Alexandra Libby | |
| 11/27/2020 | Thanksgiving Break - No meeting | |
| 12/4/2020 | Guest Speaker: Irina Higgins | |
| 12/4/2020 | Guest Speaker: Chuang Gan | |
| 12/11/2020 | Research Video Updates |
We are reading papers published in recent Top AI Conferences (CVPR 2020, ICML 2020)!