Ching Fang
@chingfang.bsky.social
Postdoc @Harvard interested in neuro-AI and neurotheory. Previously @columbia, @ucberkeley, and @apple. 🧠🧪🤖
Reposted by Ching Fang
Our new preprint: 𝐅𝐞𝐚𝐭𝐮𝐫𝐞-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐭𝐡𝐫𝐞𝐚𝐭 𝐜𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐥𝐚𝐭𝐞𝐫𝐚𝐥 𝐬𝐞𝐩𝐭𝐮𝐦 𝐠𝐮𝐢𝐝𝐞𝐬 𝐝𝐞𝐟𝐞𝐧𝐬𝐢𝐯𝐞 𝐚𝐜𝐭𝐢𝐨𝐧.
We describe how the LS guides defensive responses by forming critical computations built from functionally and molecularly distinct cells and their afferent inputs.
www.researchsquare.com/article/rs-6...
We describe how the LS guides defensive responses by forming critical computations built from functionally and molecularly distinct cells and their afferent inputs.
www.researchsquare.com/article/rs-6...
Feature-specific threat coding in lateral septum guides defensive action
The ability to rapidly detect and evaluate potential threats is essential for survival and requires the integration of sensory information, with internal state and prior experience. The lateral septum...
www.researchsquare.com
June 16, 2025 at 12:38 PM
Our new preprint: 𝐅𝐞𝐚𝐭𝐮𝐫𝐞-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐭𝐡𝐫𝐞𝐚𝐭 𝐜𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐥𝐚𝐭𝐞𝐫𝐚𝐥 𝐬𝐞𝐩𝐭𝐮𝐦 𝐠𝐮𝐢𝐝𝐞𝐬 𝐝𝐞𝐟𝐞𝐧𝐬𝐢𝐯𝐞 𝐚𝐜𝐭𝐢𝐨𝐧.
We describe how the LS guides defensive responses by forming critical computations built from functionally and molecularly distinct cells and their afferent inputs.
www.researchsquare.com/article/rs-6...
We describe how the LS guides defensive responses by forming critical computations built from functionally and molecularly distinct cells and their afferent inputs.
www.researchsquare.com/article/rs-6...
Humans and animals can rapidly learn in new environments. What computations support this? We study the mechanisms of in-context reinforcement learning in transformers, and propose how episodic memory can support rapid learning. Work w/ @kanakarajanphd.bsky.social : arxiv.org/abs/2506.19686
From memories to maps: Mechanisms of in context reinforcement learning in transformers
Humans and animals show remarkable learning efficiency, adapting to new environments with minimal experience. This capability is not well captured by standard reinforcement learning algorithms that re...
arxiv.org
June 26, 2025 at 7:01 PM
Humans and animals can rapidly learn in new environments. What computations support this? We study the mechanisms of in-context reinforcement learning in transformers, and propose how episodic memory can support rapid learning. Work w/ @kanakarajanphd.bsky.social : arxiv.org/abs/2506.19686
Reposted by Ching Fang
🚀 An other Exciting news! Our paper "From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks" has been accepted at ICLR 2025!
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
April 4, 2025 at 2:45 PM
🚀 An other Exciting news! Our paper "From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks" has been accepted at ICLR 2025!
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
Reposted by Ching Fang
Already feeling #cosyne2025 withdrawal? Apply to the Flatiron Institute Junior Theoretical Neuroscience Workshop! Applications due April 14th
jtnworkshop2025.flatironinstitute.org
jtnworkshop2025.flatironinstitute.org
April 2, 2025 at 4:49 PM
Already feeling #cosyne2025 withdrawal? Apply to the Flatiron Institute Junior Theoretical Neuroscience Workshop! Applications due April 14th
jtnworkshop2025.flatironinstitute.org
jtnworkshop2025.flatironinstitute.org
Reposted by Ching Fang
Life update: I'm starting as faculty at Boston University
@bucds.bsky.social in 2026! BU has SCHEMES for LM interpretability & analysis, I couldn't be more pumped to join a burgeoning supergroup w/ @najoung.bsky.social @amuuueller.bsky.social. Looking for my first students, so apply and reach out!
@bucds.bsky.social in 2026! BU has SCHEMES for LM interpretability & analysis, I couldn't be more pumped to join a burgeoning supergroup w/ @najoung.bsky.social @amuuueller.bsky.social. Looking for my first students, so apply and reach out!
March 27, 2025 at 2:24 AM
Life update: I'm starting as faculty at Boston University
@bucds.bsky.social in 2026! BU has SCHEMES for LM interpretability & analysis, I couldn't be more pumped to join a burgeoning supergroup w/ @najoung.bsky.social @amuuueller.bsky.social. Looking for my first students, so apply and reach out!
@bucds.bsky.social in 2026! BU has SCHEMES for LM interpretability & analysis, I couldn't be more pumped to join a burgeoning supergroup w/ @najoung.bsky.social @amuuueller.bsky.social. Looking for my first students, so apply and reach out!
Reposted by Ching Fang
What are you plans for April 5th? Decide now which event you'll attend and who you'll bring along. See you in the streets!
handsoff2025.com/about
handsoff2025.com/about
About — Hands Off!
handsoff2025.com
March 26, 2025 at 6:13 PM
What are you plans for April 5th? Decide now which event you'll attend and who you'll bring along. See you in the streets!
handsoff2025.com/about
handsoff2025.com/about
Reposted by Ching Fang
I'll be presenting this at #cosyne2025 (poster 3-50)!
I'll also be giving a talk at the "Collectively Emerged Timescales" workshop on this work, plus other projects on emergent dynamics in neural circuits.
Looking forward to seeing everyone in 🇨🇦!
I'll also be giving a talk at the "Collectively Emerged Timescales" workshop on this work, plus other projects on emergent dynamics in neural circuits.
Looking forward to seeing everyone in 🇨🇦!
(1/30) New preprint! "Symmetries and continuous attractors in disordered neural circuits" with Larry Abbott and Haim Sompolinsky
bioRxiv: www.biorxiv.org/content/10.1...
bioRxiv: www.biorxiv.org/content/10.1...
Symmetries and Continuous Attractors in Disordered Neural Circuits
A major challenge in neuroscience is reconciling idealized theoretical models with complex, heterogeneous experimental data. We address this challenge through the lens of continuous-attractor networks...
www.biorxiv.org
March 26, 2025 at 6:54 PM
I'll be presenting this at #cosyne2025 (poster 3-50)!
I'll also be giving a talk at the "Collectively Emerged Timescales" workshop on this work, plus other projects on emergent dynamics in neural circuits.
Looking forward to seeing everyone in 🇨🇦!
I'll also be giving a talk at the "Collectively Emerged Timescales" workshop on this work, plus other projects on emergent dynamics in neural circuits.
Looking forward to seeing everyone in 🇨🇦!
Reposted by Ching Fang
Our paper, “A Theory of Initialization’s Impact on Specialization,” has been accepted to ICLR 2025!
openreview.net/forum?id=RQz...
We shows how neural network can build specialized and shared representation depending on initialization, this has consequences in continual learning.
(1/8)
openreview.net/forum?id=RQz...
We shows how neural network can build specialized and shared representation depending on initialization, this has consequences in continual learning.
(1/8)
March 26, 2025 at 5:38 PM
Our paper, “A Theory of Initialization’s Impact on Specialization,” has been accepted to ICLR 2025!
openreview.net/forum?id=RQz...
We shows how neural network can build specialized and shared representation depending on initialization, this has consequences in continual learning.
(1/8)
openreview.net/forum?id=RQz...
We shows how neural network can build specialized and shared representation depending on initialization, this has consequences in continual learning.
(1/8)
We'll have a poster on this at #Cosyne2025 in the third poster session (3-055). Come say hi if you're curious!
How does barcode activity in the hippocampus enable precise and flexible memory? How does this relate to key-value memory systems? Our work (w/ Jack Lindsey, Larry Abbott, Dmitriy Aronov, @selmaan.bsky.social ) is now in eLife as a reviewed preprint: elifesciences.org/reviewed-pre...
Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding
elifesciences.org
March 24, 2025 at 7:48 PM
We'll have a poster on this at #Cosyne2025 in the third poster session (3-055). Come say hi if you're curious!
How does barcode activity in the hippocampus enable precise and flexible memory? How does this relate to key-value memory systems? Our work (w/ Jack Lindsey, Larry Abbott, Dmitriy Aronov, @selmaan.bsky.social ) is now in eLife as a reviewed preprint: elifesciences.org/reviewed-pre...
Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding
elifesciences.org
March 24, 2025 at 7:46 PM
How does barcode activity in the hippocampus enable precise and flexible memory? How does this relate to key-value memory systems? Our work (w/ Jack Lindsey, Larry Abbott, Dmitriy Aronov, @selmaan.bsky.social ) is now in eLife as a reviewed preprint: elifesciences.org/reviewed-pre...
We’re organizing a #CoSyNe2025 workshop on what agent models can teach us about neuroscience! See Sat’s thread for more info 😊
📣 Excited to announce our workshop "Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" at the upcoming @cosynemeeting.bsky.social #CoSyNe2025! 🧠🤖 🪱🪰🐟🐝🐭💪
Schedule: neuro-agent-models.github.io
🗓️ Join us in Mont-Tremblant, Canada, on March 31!
Schedule: neuro-agent-models.github.io
🗓️ Join us in Mont-Tremblant, Canada, on March 31!
Workshop Title
neuro-agent-models.github.io
February 18, 2025 at 7:08 PM
We’re organizing a #CoSyNe2025 workshop on what agent models can teach us about neuroscience! See Sat’s thread for more info 😊
If you’re interested in foundation model approaches for combining EEG/EMG/ECG/EOG data, check out our work at the Neurips AIM-FM workshop tomorrow! This was work done with Apple’s Body-Sensing Intelligence Group 🧠 🤖 arxiv.org/abs/2410.16424
Promoting cross-modal representations to improve multimodal foundation models for physiological signals
Many healthcare applications are inherently multimodal, involving several physiological signals. As sensors for these signals become more common, improving machine learning methods for multimodal heal...
arxiv.org
December 13, 2024 at 7:48 PM
If you’re interested in foundation model approaches for combining EEG/EMG/ECG/EOG data, check out our work at the Neurips AIM-FM workshop tomorrow! This was work done with Apple’s Body-Sensing Intelligence Group 🧠 🤖 arxiv.org/abs/2410.16424