@thiwomTO
 Vanderbilt Univ, Nashville, TN
accl.psy.vanderbilt.edu
Joined April 2015
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  • Following395
  • Followers409
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Multi-Neuromodulatory fingerprints of an adaptive cognitive state: Cognitive engagement was predicted by joint GABA & ACh/Choline in PFC; by Dopamine & Cholinergic changes in striatum. Glutamate & ACh correlated across states. Kudos to team + Dr Pawliszyn biorxiv.org/content/10.64898…

Cognitive engagement induces area-specific fingerprints of dopamine, acetylcholine, serotonin,...

Cholinergic, dopaminergic and serotonergic neuromodulation has pervasive effects on circuit functions in prefrontal cortex (PFC) and striatum and interact with glutamatergic and GABAergic transmiss...

biorxiv.org
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2/2 Abilities of inhibitory control, WM updating, and shifting distinguished cognitive phenotypes in NHP's; expl. factor analysis suggested 1) WM updating 2) Shifting/Learning, and 3+4) inhibitory control of interference from external vs internal sources are 4 sep. cogn. factors.
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1/2 New paper supporting a 4-factor model of Executive Functions in nonhuman primates (NHPs) using a multi-task assessment approach. NHPs show consistent cognitive phenotypes: A first step quantifying the cognitive architecture in NHP biorxiv.org/content/10.64898…
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New IN review covering eTypes, mTypes and comp. motifs of prefrontal interneurons - @KiaBanaie et al. (2026) Prefrontal Cortex Interneurons and their Contributions to Attention, Working Memory, and Adaptive Behavior. Progress in Neurobiology, pubmed.ncbi.nlm.nih.gov/4147…

Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive...

Inhibitory interneurons play central roles in regulating the input and output of cortical circuits, which in prefrontal cortices (PFC) subserve attention control, working memory and adaptive behavi...

pubmed.ncbi.nlm.nih.gov
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Thilo Womelsdorf retweeted
Martin Vinck@martin_a_vinck15 Aug 2025
Now out - we show that PV and SOM inhibitory interneurons contribute synergistically to generate cortical oscillations at various frequencies (from gamma down to beta/alpha) and control network stability... cell.com/cell-reports/fullte… - with Farzin Tahvili and Matteo Di Volo - 1/3
Martin Vinck@martin_a_vinck24 Feb 2025
Unique functional roles of PV and SOM cells in controlling network oscillations and stability - the CAMINOS model fits a wide range of ephys and opto data and predicts hierarchical gradients in oscillation frequencies & seizure propensity based on SOM/PV densities and activation
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Also check out our website for a detailed guide and overview: kiasort.com/
Kianoush Banaie Boroujeni@KiaBanaie17 Jul 2025
🚀 🚀Preprint out now on bioRxiv! “KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking” Brings geometry-free, per-neuron drift correction, without uniform movement assumptions in large-scale recordings. 🔗biorxiv.org/cgi/content/shor… 👇Code + docs
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GUI walkthrough & tutorial video here: dropbox.com/scl/fi/ump3pa6qb… Code & install instructions on GitHub: github.com/banaiek/KIASORT

Suppl_Video_1.MOV

Shared with Dropbox

dropbox.com
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🚀 🚀Preprint out now on bioRxiv! “KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking” Brings geometry-free, per-neuron drift correction, without uniform movement assumptions in large-scale recordings. 🔗biorxiv.org/cgi/content/shor… 👇Code + docs
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Notable: mental re-ordering (swapping) was more likely with better learning the initial sequence (=memory) (otherwise NHPs keep using serial chaining strategy) and correlates with working memory performance - kudos to Xuan, Adam and Seema for pulling this off ! 2 / 2
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New paper shows how nonhuman primates learn (5-) object sequences and use context cues to mentally re-order objects within a learned sequence – showing that NHPs form non-spatial cognitive maps 1 / 2 journals.plos.org/plosbiolog…

Non-human primates can flexibly learn serial sequences and reorder context-dependent object...

Compared to humans, non-human primates appear less able to mentally rearrange items to new, non-adjacent temporal positions. This study shows that macaques can learn to rearrange members of 5-object...

journals.plos.org
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Overall, the effects suggests that stimulation induced uncertainty in the ACC (with few exceptions) and in striatum boosted feature-specific credit assignment and updating of attentional priorities. Kudos to Louis, Kia, Charlie, Adam and Paul for pulling this off.
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Modeling suggests stimulation improved/impaired directed exploration/information gathering of relevant objects and the updating of feature values. Recordings showed ACC firing tracked feature uncertainty and error history, while striatum tracked stronger feature values of objects
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New paper shows causal effects of gaze-contingent stimulation on learning feature-based attention: Treuting et al. (2025) Adaptive Reinforcement Learning is causally supported by Anterior Cingulate Cortex and Striatum. Neuron cell.com/neuron/fulltext/S08… 1/2
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Saman Abbaspoor
@SAbbaspoor15 Apr 2025
Experience reorganizes content-specific memory traces in macaques 🐒🧠. @perpl_lab @AymanAljishi tinyurl.com/Perpllab-react
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Thilo Womelsdorf retweeted
Kari Hoffman@perpl_lab15 Apr 2025
Humor me: I’m reactivating the latest preprint from the lab (itza “new” trace) 🤓
Saman Abbaspoor
@SAbbaspoor15 Apr 2025
Replying to @SAbbaspoor
Experience reorganizes content-specific memory traces in macaques 🐒🧠. @perpl_lab @AymanAljishi tinyurl.com/Perpllab-react
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Kari Hoffman@perpl_lab14 Oct 2024
What makes memories last—dynamic ensembles or static synapses? | The Transmitter: Neuroscience News and… disq.us/t/4r3afea Thanks to @JasonSynaptic for organizing!

What makes memories last—dynamic ensembles or static synapses?

Teasing out how different subfields conceptualize central terms might help move this long-standing debate forward. I asked eight scientists to weigh in.

thetransmitter.org
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Thilo Womelsdorf retweeted
Saman Abbaspoor
@SAbbaspoor17 Jul 2024
Excited to share that the latest @perpl_lab paper is published in @CellReports. We describe the dynamics of superficial and deep CA1 pyramidal cells and identified putative groups of inhibitory cells in freely moving, thinking, and sleeping macaques. 1/n
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Thilo Womelsdorf retweeted
Rudebeck Lab@RudebeckLab15 Jun 2024
Led by Satoka Fujimoto and with @RussBEneuro and @HelenMaybergMD our first paper on the effects of deep brain stimulation in the brain. What’s exciting is that we find it induces white matter remodeling in specific tracts. @SinaiBrain biorxiv.org/content/10.1101/…

Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks

Deep brain stimulation (DBS) is an emerging therapeutic option for treatment resistant neurological and psychiatric disorders, most notably depression. Despite this, little is known about the...

biorxiv.org
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The conclusion is the ACC causally meta-adjusts learning strategies during periods of uncertainty to infer which objects to choose/attend/explore for best outcomes. kudos to @LTreuting44120 and the team with @KiaBanaie to pull this off!! 3/3
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An adaptive RL/WM learning model suggests ACC-stimulation had primary effects: impairing integration of feature specific prediction errors over time; and secondary effects: impairing meta-adjustment of exploration-over-exploitation AND the use of working memory for learning. 2/3
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