Subham Dey

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)

A computational approach to evaluate how molecular mechanisms impact large-scale brain activity - Nature Computational Science A computational framework is introduced to study how molecular changes impact brain activity, using biophysically grounded mean-field models to evaluate how drugs acting on synaptic receptors lead to ...

📢Alain Destexhe and colleagues from @neuropsi.bsky.social introduce a computational framework to study how molecular changes impact brain activity. #compneurosky #Neuroskyence www.nature.com/articles/s43...

Controllability analysis of macaque structural connectome from an edge centric perspective In this paper, we investigate the edge controllability properties of the macaque structural connectome, which is reconstructed using optimal tractography parameters. We derive the expression of edge m...

www.biorxiv.org/content/10.1....

z-transform and z-score are two completely different entities. Using one in place of the other is not correct in my opinion.

Very interesting work, as a control theorist person, I think you can design a controller for a system only if it is controllable (as you have a linear system so the proof is trivial and may be added). I am also curious to know why LQR and why not Model Predictive Control?

A time interval is a convex subset of the set of real numbers not a single number as claimed in the second paragraph of this paper. (in my humble opinion)

Prediction of mental health risk in adolescents www.nature.com/articles/s41...

*Please repost* @sjgreenwood.bsky.social and I just launched a new personalized feed (*please pin*) that we hope will become a "must use" for #academicsky. The feed shows posts about papers filtered by *your* follower network. It's become my default Bluesky experience bsky.app/profile/pape...

Cerebellar output shapes cortical preparatory activity during motor adaptation - Nature Communications Functional role of the cerebellum in motor adaptation is not fully understood. The authors show that cerebellar signals act as low-dimensional feedback which constrains the structure of the preparator...

🚨 Paper Alert! 🚨
1/n Thrilled to share our latest research, now published in Nature Communications! 🎉 This study dives deep into how the cerebellum shapes cortical preparatory activity during motor adaptation.
www.nature.com/articles/s41...
#neuroskyence #motorcontrol #cerebellum #motoradaptation

Nice work but in my humble opinion, controllability has a different meaning for dynamical systems.