Subham Dey

Falling asleep follows a predictable bifurcation dynamic - Nature Neuroscience Li et al. propose a conceptual framework to study the phenomenon of falling asleep based on electroencephalogram data. They show that a tipping point marks the brain’s nonlinear wake-to-sleep transiti...

My co-authors have yet to move to Bluesky, so I'm pleased to announce our latest work has just been published in @nature.com Neuroscience. Amazing work led by Junheng Li, revealing that falling asleep follows a predictable bifurcation pattern #neuroskyence #sleep
www.nature.com/articles/s41...

Positive affective contagion in bumble bees Affective contagion, a core component of empathy, has been widely characterized in social vertebrates but its existence in any invertebrate is unknown. Using a cognitive bias paradigm we demonstrate p...

Positive affective contagion in bumble bees

This is impressive research in Science Magazine, but the word 'affect' feels like a stretch of what that word implies. Affect-like seems more consistent, in the way Nicky Clayton has used 'epsiodic-memory-like' in corvids

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

Members of Congress can say they didn’t believe the data that said people would lose their healthcare, but real people are starting to experience the pain.

Ted Budd locked his door and refused to answer our calls today, but Moral Mondays will be back.

Without control theory there is no closed loop brain stimulation.

Does anodal tDCS over M1 really enhance motor sequence learning? A non-replication of earlier findings in a double-blind, pre-registered large-sample study in humans Background Transcranial direct current stimulation (tDCS) is one of the most widely used noninvasive neuromodulation methods. Despite its popularity, some recent studies highlighted issues about the r...

www.medrxiv.org/content/10.1... (People are trying to cure depression with tDCS, good luck then)

There is a reason why variants of Kalman filter like Unscented Kalman Filter, Cubature Quadrature Kalman Filter exists in literature. Still you find the Kalman filter at big ticket neuroscience journal papers. It seems neither the people nor the reviewers care at all.

Out today at Neuron, our experiments show that frontal cortical representation of economic variables is jointly determined by spatial organization and downstream
connectivity of neurons, revealing a structured, multi-scale code for economic variables. www.cell.com/neuron/fullt...

Science is beyond correlational analysis.

Frontiers and MDPI don't count as productivity. People publishing 10+ author papers and questioning the productivity of people who work alone is unjust and unfair.

Thrilled to share that our work is now published in Science! ✨

We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass! 🧭

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

🧵1/

Another way in which companies *could* save millions $$$ with AI is by replacing expensive CEOs with algorithms. Just saying.

A cautionary tale for PhD's from lower-income countries who are on "stipends": often regarded as disposable, their vulnerability (precarious access to healthcare, social security, etc...) makes them prime targets for a "flexible" form of abuse that hides in plain sight. Let us not normalize this👇

🚨We believe this is a major step forward in how we study hippocampus function in healthy humans.

Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.

Product reproducing kernel Hilbert spaces

It's absolutely unscientific to write papers in Microsoft Word. Learning LaTeX is a basic undergraduate thing.

Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model Nature Communications - Accurate future predictions are essential for guiding behavior, and disruptions in this process are associated with psychiatric disorders. Here the authors show that changes...

My first paper with @naoshigeuchida.bsky.social is finally out in @natcomms.nature.com ! rdcu.be/eACGf

TL;DR: asymmetric learning rates can be induced by shifts in tonic dopamine giving rise to pessimistic/optimistic biases in agents or animals undergoing reinforcement learning .

🚨Very happy that my PhD work is now out in @nature.com!

We discovered that evolution, by acting in the midbrain, shifted the threshold to escape in Peromyscus mice, to fine-tune defensive strategies in different environments

www.nature.com/articles/s41...

This was a truly collaborative effort! 🧵⬇️

If your input is persistently excitable (can be checked with the hankel matrix), then you can obtain a closed loop model predictive controller based only on the input and output data, without performing any kind of generative modeling or system identification.

With adaptive deep brain stimulation getting FDA approved, we should see more closed loop control algorithms rather than proportional integral or on/off switching controllers. One method is called direct data driven model predictive control.

We are looking for a Postdoc (up to 5 years) who wants to study neural mechanisms of spatial memory in honeybees.

This includes tetrode recordings in behaving honeybees.

Application Deadline is 1st of October 2025.

More details:
www.biozentrum.uni-wuerzburg.de/en/services/...

A Dynamical Systems Perspective on the Analysis of Neural Networks In this chapter, we utilize dynamical systems to analyze several aspects of machine learning algorithms. As an expository contribution we demonstrate how to re-formulate a wide variety of challenges f...

A Dynamical Systems Perspective on the Analysis of Neural Networks

arxiv.org/abs/2507.05164

@cnsorg.bsky.social

nimhaiworkshopitaly.github.io. Please visit our workshop in Florence, Italy (CNS 2025).

Event structure sculpts neural population dynamics in the lateral entorhinal cortex Our experience of the world is a continuous stream of events that must be segmented and organized at multiple timescales. The neural mechanisms underlying this process remain unknown. In this work, we...

Your brain doesn’t just passively track time ⏳ - it structures it.
In @Science.org we show that activity in 🧠 memory circuits (LEC) drifts constantly, but makes sharp jumps at key moments, segmenting life into meaningful events. (1/2)

👉 www.science.org/doi/10.1126/...

Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s415...

What is the best measure of functional connectivity (FC)?

led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️

Cholinergic feedback for modality- and context-specific modulation of sensory representations The brain’s ability to prioritize sensory information is crucial for adaptive behavior, yet its mechanisms remain unclear. We investigated basal forebrain cholinergic neurons modulating olfactory bulb...

Our new paper is out in Science.

We identified a subgroup of cholinergic neurons that mediate sensory modality-specific attention. They change their funcitonal properties within secs of behavioral context change.

Congrats to Bin for the great thesis, and the team!

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

Decoding predicted future states from the brain’s “physics engine” Using fMRI in humans, this study provides evidence for future state prediction in brain regions involved in physical reasoning.

Thrilled to announce our new publication titled 'Decoding predicted future states from the brain's physics engine' with @emiecz.bsky.social, Cyn X. Fang, @nancykanwisher.bsky.social, @joshtenenbaum.bsky.social

www.science.org/doi/full/10....

(1/n)

Graphical abstract for "Vocal communication is seasonal in social groups of wild, free-living house mice." The abstract has, from top to bottom, a title, four middle image panels, and two bottom text panels. Image title: "Vocal communication in social groups of wild-free living house mice" Middle image panels from left to right: (1) An aerial snap shot of the region where the study site is located, an agricultural landscape in rural Switzerland. (2) An image of the study site, a small barn in the forest inhabited by mice. (3) An image of a radio frequency identification (RFID) box used to track mouse social interactions. A mouse is entering the box from the left while another sits outside. (4) A spectrogram showing example vocalizations - one low frequency squeak and one ultrasonic call - recorded from an RFID box. Bottom panels: Left: Data Collection  - 10 years of RFID-based tracking data (from 6,946 mice) - 15 months of acoustic monitoring (totaling 6,594 hours) - Machine learning for vocal detection and labeling (CNN) Right: Key Findings - Vocalization is seasonal (most in spring and summer) - Vocalization is associated with the presence of pups - Vocalization is correlated with social group dynamics

Very happy to share the latest from my postdoc‬!

10 yrs of mouse social networks + 1.25 yrs of acoustic data ➡️ insight into vocalization & sociality in a wild population of your favorite lab model 🐁

paper: bit.ly/4n93yyD
data: bit.ly/4lfFBEk
code: bit.ly/4kNnMwx

#bioacoustics #neuroskyence

1/8

You have a nonlinear generative model for recorded neural data, then you again linearize it using koopman operators to design linear optimal control input. There are already ample works in the literature where you can design nonlinear energy efficient optimal controllers for nonlinear systems.

Writing papers in LaTeX (Overleaf) is a basic undergraduate skill set which one should acquire. (in my opinion)