Hsuan-Pei Huang

A semantotopic map in human hippocampus https://www.biorxiv.org/content/10.1101/2025.10.31.685959v1

A short talk on the main architecture components of LLMs this year + a look beyond the transformer architecture: www.youtube.com/watch?v=lONy...

Scientific Paper Planner - AI-Powered Research Planning Structure your scientific research with AI-powered guidance. From hypothesis to methodology, plan your research paper with intelligent mentoring.

Still beta-testing the app that helps people plan science, make it super clear, design their todos, and write a first version of the paper. Feeling overwhelmed by the countless aspects of doing science? Try this (for free): planyourscience.com

Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability Flexibility and stability of neuronal ensembles are crucial features of brain function. Little is known about how these properties of local circuits are influenced by long-range inputs. We show that l...

www.science.org/doi/10.1126/...

People emphasizing circles in dimensionality reduced trajectories are emphasizing the wrong thing imho. In a spatiotemporally low-pass world, dimensionality reduction literally reveals the fourier bases.

When does new learning interfere with existing knowledge in people and ANNs? Great to have this out today in @nathumbehav.nature.com

Work with @summerfieldlab.bsky.social, @tsonj.bsky.social, Lukas Braun and Jan Grohn
www.nature.com/articles/s41...

Revised version of our #NeurIPS2025 paper with full code base in Julia & Python now online, see arxiv.org/abs/2505.13192

Really hoping bifurcations are the new manifolds. What a time to be alive 🥲

The missing half of the neurodynamical systems theory Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.

Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions, writes Xiao-Jing Wang.

#neuroskyence

www.thetransmitter.org/neural-dynam...

Now accepting paper submissions for the “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” workshop at #AAAI2026!

🔗 https://neuroai-multimodal-workshop.github.io/

@aaai.org

What is consciousness, and could AI have it? | The Voltaire Lecture 2025, with Professor Anil Seth Professor Anil Seth is a neuroscientist, author, and public speaker who has pioneered research into the brain basis of consciousness for more than 20 years

What is consciousness, and could AI have it? It's an honour to be giving the 2025 Voltaire Lecture, this Hallowe'en (Fri 31/10), for @humanists.uk, at @conwayhall.bsky.social in London, 19:30-21:00 (also livestreamed) humanists.uk/events/volta... 👻

Pleased to share new work with @sflippl.bsky.social @eberleoliver.bsky.social @thomasmcgee.bsky.social & undergrad interns at Institute for Pure and Applied Mathematics, UCLA.

Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
www.arxiv.org/pdf/2510.15987

🧵1/n

Dentate spikes comprise a continuum of relative input strength from the lateral and medial entorhinal cortex. https://www.biorxiv.org/content/10.1101/2025.10.27.684857v1

Ten Simple Rules for AI-Assisted Coding in Science While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific validity. In this pa...

Ten Simple Rules for AI-Assisted Coding in Science arxiv.org/abs/2510.22254 - our latest, led by @ericwbridgeford.bsky.social

Living with Men An excerpt from Manon Garcia's extraordinary new book on the Pelicot trial

Feminist philosopher and writer extraordinaire @katemanne.bsky.social has published an excerpt of Living with Men in her Substack, I hope this will make you want to read the book!
katemanne.substack.com/p/living-wit...

Google Scholar tool gives extra credit to first and last authors Researchers welcome the initiative, but say it doesn’t go far enough to capture the nuance of researcher productivity and impact.

This is such a horrifically bad idea that I don't even know where to begin.
www.nature.com/articles/d41...

Oh wait, yes I do. I wrote a whole article about it last year: www.thetransmitter.org/publishing/a...

Unfolding the Black Box of Recurrent Neural Networks for Path Integration https://www.biorxiv.org/content/10.1101/2025.10.25.684492v1

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this problem is not new: Neu...

If people have interest in Marr's levels and AI, we're working on updating this: arxiv.org/abs/2408.12664

New preprint from Satoshi Kuroki & Sébastien Royer

Grid cells encode reward distance during path integration in cue-rich environments

www.researchsquare.com/article/rs-7...

Dynamics of Dentate Gyrus Place Cells and Dentate Spikes Signal Spatial and Nonspatial Changes in Environments https://www.biorxiv.org/content/10.1101/2025.10.24.684382v1

🤖📈 How do LLMs use their depth?

Akshat Gupta led a fun project to find out! We leverage TunedLens (~linear decoding of tokens) to explore how LLMs' internal representations change from layer to layer.

Preprint: arxiv.org/abs/2510.18871

1/

🧠 Thrilled to share our NeuroView with Ellie Pavlick!

"From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?"

AI foundation models are coming to neuroscience—if scaling laws hold, predictive power will be unprecedented.

But is that enough?

Thread 🧵👇

Our work with @pawa-pawa.bsky.social is out in Nature Machine Intelligence! The choice of activation function affects the representations, dynamics, and circuit solutions that emerge in RNNs trained on cognitive tasks. Activation matters!
www.nature.com/articles/s42...

Environmental Novelty Modulates Rapid Cortical Plasticity During Navigation https://www.biorxiv.org/content/10.1101/2025.10.21.683723v1

Large-scale cellular-resolution read/write of activity enables discovery of cell types defined by complex circuit properties https://www.biorxiv.org/content/10.1101/2025.10.21.683734v1

Hebbian learning accounts for the effects of experience and novel exposure on representational drift in CA1 of hippocampus https://www.biorxiv.org/content/10.1101/2025.10.21.683686v1

To plan the future, the PFC represents a step-by-step map of actions, and at every step, this plan moves to the past like a conveyor belt.

This proposes a simple subspace architecture for planning.

A toy environment can clarify it.

A🧵with my toy model and notes:

#neuroskyence #compneuro #NeuroAI

Sequential Development of Task Representation from Hippocampus to Prefrontal Cortex Supports Goal-Directed Spatial Navigation Successful goal-directed navigation requires the coordination between the hippocampus and medial prefrontal cortex. However, it is not fully confirmed that the medial prefrontal cortex learns its spat...

Sequential Development of Task Representation from Hippocampus to Prefrontal Cortex Supports Goal-Directed Spatial Navigation

"We found this ring-like structure evolved after learning, in a way that the hippocampal-prefrontal manifolds converged to a shared geometry"
www.biorxiv.org/content/10.1...

I disagree that the Turing Test is a test for consciousness in any way.

We explore the difficulty of testing for C in this article: pubmed.ncbi.nlm.nih.gov/38485576/

... (1/2)

Distinct neocortical and entorhinal networks for time, space, and reward https://www.biorxiv.org/content/10.1101/2025.10.13.682150v1