📢 PhD opening in comp. cog. neuro. in Toulouse: thalamo-frontal model of cognitive control. Modelling/EEG experience is welcome but not required. Application deadline: 8 Sept. 2026 Details: sdrive.cnrs.fr/s/eDrkeXfjdW... #CognitiveScience #Neuroscience #EEG #neuroskyence #compneurosky
Nicholas Tolley
@ntolley.bsky.social
Postdoc in comp neuro @BrownU, interested in biophysical modeling, deep learning, and open-source software development
Spectral decompositions of neural voltage recordings are susceptible to model misspecifications that cause meaningful estimation error https://www.biorxiv.org/content/10.64898/2026.06.12.718232v1
Postdoc position available at postlab.psych.wisc.edu. Pls send cv to postle@wisc.edu
PO-STL-AB
Our interests in human memory and cognition encompass the cognitive and neural basis of working memory, attention, control, and consciousness.News Madison Symposium on Memory & Control. On 30 May 202...
postlab.psych.wisc.edu
HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neuro-cognitive Modeling https://www.biorxiv.org/content/10.64898/2026.06.05.730398v1
📢PhD job alert! A exciting PhD project that involves using MEG and biophysical modelling to try to predict effects of a glutamatergic treatment for psychosis... plus you can develop your own side project. Join our great team! www.ucl.ac.uk/work-at-ucl/...
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
ucl.ac.uk
In a #ICML2026 position paper we argue a dynamical systems perspective is needed to drive time series models forward: arxiv.org/abs/2602.16864 For TS, we need to move away from transformers that do not respect a system’s dynamical structure, esp. if out-of-domain generalization & insight is sought.
Donoghue et al. introduce the Human Single-Neuron Pipeline, an open source processing pipeline for collecting and analyzing human single-neuron data: doi.org/10.52294/001... @ohbmossig.bsky.social @ohbmofficial.bsky.social #OpenDatasets #SpecialIssues
Super glad to have our team's work on clinical applications of neural simulations highlighted in this article! Trying to bring academic work to the real-world has been a great experience and I'm quite excited to continue these efforts with @dvwz.bsky.social and @jonescompneurolab.bsky.social
Meet the trainees co-founding companies to defeat Alzheimer’s disease and other disorders! Larry Heller, Ryan O'Rourke, @dvwz.bsky.social and @ntolley.bsky.social share the story of their entrepreneurial journeys. carney.brown.edu/news/2026-05-05/ad-spin-offs
Layer-specific wide-field calcium imaging of neocortical activity https://www.biorxiv.org/content/10.64898/2026.04.28.721258v1
In people at high risk for psychosis, reduced excitability of pyramidal cells predicts who will later convert to develop psychosis, suggesting this may be a root cause of schizophrenia rather than a consequence of the illness.
Biophysical modeling of excitation/inhibition balance and conversion to psychosis in the clinical high risk syndrome
Reduced mismatch negativity (MMN) and P300 event-related potential (ERP) components are widely replicated in schizophrenia and are also observed in individuals at clinical high risk for psychosis…
biologicalpsychiatryjournal.com
New paper in Imaging Neuroscience by Lindsey Power, Sylvain Baillet, et al: A neuroscientist’s guide to neural burst detection doi.org/10.1162/IMAG...
Headed to #SOBP2026? Come visit our posters on stress and mental effort! F325: Investigating the Role of Serotonin in Stressor Controllability and Mental Effort Allocation (me!) S297: Learning and Generalization of Stressor Controllability for Mental Effort allocation (Tony El Nemer)
Really excited for this conference! We’ve all been digging deep into different ways to use EEG to better understand and treat psychiatric diseases If you’re at SOBP definitely stop by our posters if you want to chat biophysical mechanisms, biomarkers, and deep learning approaches to EEG analysis
We will be at the SOBP conference this week! Come see our exciting lineup of posters on psychiatric translational applications of HNN and similar mechanistic models. Presented by @ntolley.bsky.social, @darcywaller.bsky.social , Stephanie R. Jones, David Zhou, and Pran Chanthrakumar.
New work, now out in PLoS Biology. Using intracranial recordings & EEG, we find that the human STN rapidly engages / releases motor inhibition depending on task context, does so in tight accord w/ frontal cortex, and shows little to no lateralization while doing so. journals.plos.org/plosbiology/...
A cortico-subthalamic circuit rapidly engages and releases inhibition of specific movements depending on the environmental context
How does the human brain stop movements under realistic conditions? Using intracranial recordings and multi-variate EEG decoding, this study shows that a fronto-basal ganglia circuit featuring the sub...
journals.plos.org
New preprint from the lab, led by post-doc @cheolsoh.bsky.social and former post-doc Mario Hervault (now Asst Prof at UGrenoble). The boys used synchronous intracranial recordings from the human subthalamic nucleus & EEG to study β bursts during global & selective response inhibition. Details in 🧵
[ #ICLR2026 ] How do we know if two systems are performing the same computation when they are constantly driven by different external inputs? 🧠🤖 I’ll be presenting our novel method InputDSA tomorrow April 23 (2:15pm-4:45pm EDT in Pavilion 3 P3-#1614)📍 Come swing by our poster! I’d love to chat!
✍️ In the @kempnerinstitute.bsky.social blog: our new tool built to compare the dynamics of complex systems when both internal circuitry and external inputs shape their behavior. Catch @annhuang42.bsky.social presenting this work at #ICLR! kempnerinstitute.harvard.edu/research/dee...
Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver https://www.biorxiv.org/content/10.64898/2026.04.11.717895v1
Happy to share a new preprint from the @hnnsolver.bsky.social team!🧠💻🎉 "Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver" 📝 www.biorxiv.org/content/10.6...
New preprint! 🧠 How do RNNs learn abstract rules from sequences, independent of specific stimuli? By Vezha Boboeva, with Alberto Pezzotta & George Dimitriadis "From sequences to schemas: low-rank recurrent dynamics underlie abstract relational representations" www.biorxiv.org/content/10.6...
Thrilled to see the second paper of the lab out 🤩 Check it out if you need a method to infer causality from neural data, even when the signal is short! Paper: joss.theoj.org/papers/10.21... Code: github.com/CMC-lab/Tran...
TranCIT: Transient Causal Interaction Toolbox
Nouri et al., (2025). TranCIT: Transient Causal Interaction Toolbox. Journal of Open Source Software, 10(116), 9302, https://doi.org/10.21105/joss.09302
joss.theoj.org
Wanna infer causal interactions during brief, transient neural events? 🧠⚡ Many methods struggle with such non-stationarities, but we got a robust solution for you! 📦 My recent publication with @cmc-lab.bsky.social 🥳: TranCIT: Transient Causal Interaction Toolbox 📜 JOSS: bsky.app/profile/joss...
Want a dataset to test ideas on neural basis of decision making or how areas interact as we make choices? Check out our data published today @rudebecklab.bsky.social. >16,000 single neurons from 22 anatomically confirmed areas in macaques performing a decision task. www.nature.com/articles/s41...
Dataset of cortical and subcortical single neuron activity during value-based tasks in macaque monkey - Scientific Data
Scientific Data - Dataset of cortical and subcortical single neuron activity during value-based tasks in macaque monkey
nature.com
Really excited to share a new preprint! 𝗛𝗼𝘄 𝗱𝗼 𝗯𝗿𝗮𝗶𝗻𝘀 𝘀𝘁𝗮𝘆 𝗿𝗼𝗯𝘂𝘀𝘁 & 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝘄𝗵𝗶𝗹𝗲 𝗯𝗲𝗶𝗻𝗴 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝘆 𝘀𝗽𝗮𝗿𝘀𝗲? We explore how! www.biorxiv.org/content/10.6... We built Connectome-based Neural Networks (CoNNs) using Drosophila wiring (larva&adult) & compared with random networks with same sparsity.
Preprint out arguing that we should build the techology to translate (compile) molecularly annotated connectomes into dynamics. I think this is incredibly important. arxiv.org/abs/2603.25713
This work started when Christian Pehle, @tonyzador.bsky.social, and I found that training sequentially (consuming/producing one spike at a time) in JAX was prohibitively slow. You certainly can consume multiple spikes in parallel—TLDR; just use an associative scan—but... 2/N
🧵 New preprint led by @bingbrunton.bsky.social, @elliottabe.bsky.social, @lawrencehu.bsky.social We gave a worm brain control of a fly body and it walked What did we learn? Nothing, other than deep reinforcement learning is effective We call it the digital sphinx www.biorxiv.org/content/10.6...
Our paper “Multifidelity Simulation-based Inference for Computationally Expensive Simulators” has been accepted at ICLR 2026! 🥳 We hope this can be a practical solution for anyone analysing and doing inference on computationally expensive simulators. Paper: openreview.net/pdf?id=bj0dc...
We have a new preprint examining single neuron responses in humans undergoing TMS (www.biorxiv.org/content/10.6...). The excellent Charlie Dickey led the way, and I had the privilege to co-supervise this work with @coreykeller.bsky.social and @aaronboes.bsky.social 🧵 (1/7) 🧠🟦 🧠💻
A Spatially Structured Spiking Network Model of Beta Traveling Waves and Their Attenuation in Motor Cortex https://www.biorxiv.org/content/10.64898/2026.03.18.712701v1
Pleased to share that our paper "Representation Biases: Variance is Not Always a Good Proxy for Importance" is now out as Theory/New Concepts paper in eNeuro! www.eneuro.org/content/13/3... 1/
Representation Biases: Variance Is Not Always a Good Proxy for Importance
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and repr...
eneuro.org
Happy to share a new preprint from my PhD thesis! “A novel framework for expanding RNNs with biophysical detail to solve cognitive tasks” 🧠💻 📝 www.biorxiv.org/content/10.6... @jonescompneurolab.bsky.social
Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function https://www.biorxiv.org/content/10.64898/2026.03.13.711751v1