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Posts by Anton Pashkov

Faculty Requisition Details - Jobs@UIOWA: Search and Apply for Jobs at The University of Iowa Jobs@UIOWA: The official place to search and apply for jobs at The University of Iowa.

We're recruiting! Iowa's Carver College of Medicine Department of Neurology is looking for a clinical neuropsychologist to join our team in the historic Benton Neuropsychology Clinic. If you're on the market, apply via the link below:

jobs.uiowa.edu/faculty/view...

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Temporal Interference Stimulation of the Motor Cortex Produces Frequency-Dependent Analgesia www.biorxiv.org/content/10.64898/2026.04...

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Monkey auditory neurons "did not show enhanced responses to unexpected stimulus repetitions, contrary to predictive-coding theory. However, they did show enhanced responses to unexpected stimulus omissions." www.biorxiv.org/content/10.6...

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Biophysical modeling to develop and test mechanistic hypotheses underlying pharmacological EEG biomarkers.

Top: Modeling EEG biomarkers begins with picking a specific brain signal that is reliably different between patient populations. An example of a hypothetical EEG biomarker is an auditory event related potential (ERP) that is suppressed in post-treatment (red) relative to pre-treatment (blue). Middle: Biophysical modeling allows for testing mechanistic hypotheses that explain how EEG biomarkers emerge and change with drugs. Hypotheses about which drug mechanisms lead to distinct brain activity patterns must be constructed, and corresponding model parameters identified. Bottom: The default HNN model is used as a starting point to test hypotheses by either manually altering the values of the chosen model parameters, or using automated optimization and inference algorithms. Differences in parameter values pre-to post-treatment correspond to model-based predictions.

Biophysical modeling to develop and test mechanistic hypotheses underlying pharmacological EEG biomarkers. Top: Modeling EEG biomarkers begins with picking a specific brain signal that is reliably different between patient populations. An example of a hypothetical EEG biomarker is an auditory event related potential (ERP) that is suppressed in post-treatment (red) relative to pre-treatment (blue). Middle: Biophysical modeling allows for testing mechanistic hypotheses that explain how EEG biomarkers emerge and change with drugs. Hypotheses about which drug mechanisms lead to distinct brain activity patterns must be constructed, and corresponding model parameters identified. Bottom: The default HNN model is used as a starting point to test hypotheses by either manually altering the values of the chosen model parameters, or using automated optimization and inference algorithms. Differences in parameter values pre-to post-treatment correspond to model-based predictions.

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...

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Temporal predictions shape somatosensory perception - Nature Communications This study shows that expectations about when a stimulus will occur systematically increase perceived intensity of pain and non-painful sensations, independent of actual delay or prediction errors, hi...

Link to the paper: www.nature.com/articles/s41...

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Integrated information theory: the good, the bad and the misunderstood The integrated information theory of consciousness (IIT) is uniquely ambitious in proposing a mathematical formula, derived from apparently fundamental properties of conscious experience, to describe ...

🎉 📜 NEW #PREPRINT !! 📜 🎉

Spearheaded by Adam Barrett we tried to tackle some of the challenges of IIT.

We confront aspects worth delving into, with an incredible team of collaborators, inc. Pedro Mediano, @frosas.bsky.social, Daniel Bor, Lionel Barnett, and @anilseth.bsky.social.

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The contribution of default mode network areas to visual perception Visual perception and accompanying sensory activity are strongly shaped by top-down influences. Although several sources of this influence have been thoroughly examined in the research literature, one...

Very interesting sounding paper on the role of the default mode network in visual perception by Ujhelyi, Korda & Zaretskaya. The authors propose that the DMN provides top-down information from memory and semantic knowledge to guide perception. #neuroskyence

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Dorsal Raphe Revisited: A Systems Neuroscience Lens on Psychedelic Drug Action - Alex C. Kwan, 2026 Psychedelics rose to prominence in the 1960s, around the same time when neurobiologists identified the midbrain raphe as the brain’s primary source of serotonin...

For those interested in the history of psychedelic research…

I wrote a narrative piece describing studies of psychedelic effects on serotonergic neurons in the dorsal raphe, from late 1960s to 1980s:

journals.sagepub.com/doi/10.1177/...

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Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver www.biorxiv.org/content/10.64898/2026.04...

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A complete rethinking of how our brains use categories to make sense of the world Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized stage of sensory processing. Instead, it is a core function operating at eve...

A new paper in @natrevneuro.nature.com challenges decades of dogma about how and why the brain boils down what it sees, hears, smells, tastes and feels into categories. picower.mit.edu/news/complet... #neuroscience #cognition @mitbcs.bsky.social

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Dynamic cholinergic signaling differentially desynchronizes cortical microcircuits dependent on modulation rate and network connectivity Author summary Acetylcholine (ACh) is a chemical messenger that alters the intrinsic properties of neurons and in turn regulates brain activity related to cognitive functions such as sensory processin...

1/n Good news everyone!

I'm excited to announce the lab's first manuscript is accepted and (preliminarily) published at @plos.org Computational Biology!

This is an absolutely surreal moment as a #NewPI 😀

#neuroskyence #compneuro #AcademicSky 🧪

journals.plos.org/ploscompbiol...

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The complete morphology of a single LC-NE neuron.

The complete morphology of a single LC-NE neuron.

First off, these cells are gigantic. This one, for example, has >72 cm of axon! To our knowledge, it’s the longest neuron ever fully reconstructed. I leave it to the reader as an exercise to estimate the length of a human LC neuron. 5

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Delighted to share our discoveries about one of the brain's neurotransmitter systems:
www.biorxiv.org/content/10.6...

Together with colleagues at the @alleninstitute.org, we have learned a lot about a tiny cluster of neurons in the brainstem locus coeruleus (LC) that releases norepinephrine (NE). 1

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I tried invertmeeg with P50 EEG data. It was fun🤩!
However, I cannot say I found the perfect method.
Based on the topography, the activity should be from a tagential dipole. Based on previous findings, it should be in area 3b. But I got in the precentral gyrus or on the crown (~area 1).
#brainmovies

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Structural signatures of synergy and redundancy in human brain function www.biorxiv.org/content/10.64898/2026.04...

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Vegetative Patients May Be More Aware Than We Knew

Nice article about our @CIHR_IRSC funded research in the New York Times today @westernu.ca www.nytimes.com/2026/04/09/m...

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We're excited to share our new study on decoding brain activity in participants with post-stroke aphasia! We think this is an important step towards cognitive brain-computer interfaces for patients with language disorders

www.biorxiv.org/content/10.6...

1/8

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TDLM-Resting-State Simulation How sensitive is TDLM really? Can we actually find replay when we know it is present?

Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results.

we're delighted that it has now been published @elife.bsky.social!
elifesciences.org/articles/108...

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Cerebellar activation in human placebo analgesia: Bridging findings from mice to humans www.biorxiv.org/content/10.64898/2026.04...

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We develop a new TMS targeting algorithm and test it in an open label trial in a treatment-resistant depression population with high comorbidities. Preprints by @rubykong92.bsky.social Phern-Chern Tor
1. doi.org/10.1101/2025...
2. doi.org/10.64898/202...

Our new approach ...

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1/8. New preprint! ✨

How spontaneous is spontaneous behavior? 🧠🐭

We found that whole-brain fUSi signals predicted spontaneous behavioral transitions seconds in advance. Inhibiting one node of this transition-prone state, the medial septum, facilitated switching!

www.biorxiv.org/content/10.6...

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Structure-function coupling in the human brainstem www.biorxiv.org/content/10.64898/2026.04...

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Updated preprint: doi.org/10.1101/2025...

We have improved DELSSOME and showed that we can accelerate the estimation of two new biophysical models. By collating 12,005 individuals, we derive normative trajectories of cortical E/I ratio across the lifespan ...

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Deconstruction of a spino-brain–spinal cord circuit that drives chronic pain - Nature In mice, a circuit between the spinal cord and various regions of the brain, centring on spinal-cord-projecting neurons in the rostral ventromedial medulla, has a key role in driving chronic pain.

Special to see this paper out from my former lab: >10 years in the making. Lots of striking results!
www.nature.com/articles/s41...

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Inferring norepinephrine dynamics from partial observations reveals the temporal structure of elevations during arousal www.biorxiv.org/content/10.64898/2026.03...

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For more than a century, the study of brain lesions has been central to understanding cognitive processes and normal brain function (e.g., Broca’s studies).

However, what electrophysiological signatures emerge following a brain lesion?

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A network for self-transcendence derived from patients with brain lesions www.biorxiv.org/content/10.64898/2026.03...

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Predictive coding is not a theory of anticipation Submitted on : Tuesday, March 24, 2026-5:01:37 PM

I wrote a somewhat critical piece on predictive coding theory and active inference.

"Predictive coding is not a theory of anticipation"

hal.science/hal-05565242

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Our latest publication grapples with how the brain could implement gradient descent by sending learning targets top-down, gating plasticity with dendritic inhibition, and updating synaptic weights with biologically observed learning rules like BTSP.

www.cell.com/cell-reports...

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🚨 We're very happy to introduce TRIBE v2: a foundation model of the brain's responses to sight, sound & language.

📄 Paper: ai.meta.com/research/pub...
▶️ Demo: aidemos.atmeta.com/tribev2/
💻 Code: github.com/facebookrese...
🤗 Model: huggingface.co/facebook/tri...

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