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Jeff Markowitz

@vulcnethologist.bsky.social
127 followers 51 following 25 posts

Assistant Professor BME Georgia Tech & Emory. Neuro...stuff. Tweets are my own. He/him.

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Reposted by Jeff Markowitz
Ariel Levine @ariellevine.bsky.social · 18/08/2026
We have 2 postdoc positions available to study spinal mechanisms of motor control. Postdoc 1 will focus on how specific spinal cell types shape neural activity www.levine-lab.org jobs.smartrecruiters.com/UniversityHe...
jobs.smartrecruiters.com
Postdoctoral Researcher, Spinal Mechanisms of Motor Control - Neural Activity
Company Description: The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Canc...
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Jeff Markowitz @vulcnethologist.bsky.social · 16/06/2026
Come work with us! We're looking for a new lab manager to help us develop new motion capture methods, new biosensors, and to hopefully learn something cool about the brain. Bonus: you get to do all this in the ATL and, in my humble opinion, we're nice people to work with! markolab.org/careers/
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Amy Orsborn @neuroamyo.bsky.social · 21/05/2026
Hot off the presses, this study is now out in the Journal of Neuroscience! A quick write-up: www.jneurosci.org/content/46/2... And the full paper: www.jneurosci.org/content/46/2...
jneurosci.org
This Week in The Journal
Toward Improving Brain–Computer Interfaces Ryan A. Canfield, Tomohiro Ouchi, Hao Fang, Beatrice Macagno, Lydia I. Smith et al. (see article e1965252026) Researchers are working on improving motor ...
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Jibran Khokhar @drjkhokhar.bsky.social · 21/05/2026
Cool new work from @dudman.bsky.social and @fluketc.bsky.social Reward magnitude determines reinforcement learning efficiency: www.science.org/doi/10.1126/...
science.org
Reward magnitude determines reinforcement learning efficiency
Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five...
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Jeff Markowitz @vulcnethologist.bsky.social · 21/04/2026
Congrats!
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Ariel Levine @ariellevine.bsky.social · 15/03/2026
Check out the newest work from our, from Fabricio Nicola @fabricionicola.bsky.social on mouse jumping and spinal cell types. Excellent collab with @vulcnethologist.bsky.social www.biorxiv.org/content/10.6...
biorxiv.org
A spinal substrate for modular control of natural behavior
Natural behavior unfolds as coordinated sequences of body movements. This organization suggests that behavior may be built from discrete motor patterns, yet how such arrangements are implemented by neural circuits remains unknown. Here, we combined kinematic analysis, muscle recordings, genetically identified cell types, and closed-loop optogenetic perturbations to examine the organizational logic of natural gap-crossing jumps in mice. Jumping was characterized by a series of precisely defined phases and their associated modular motor patterns. The core phases, propulsion and flight, exhibited distinct signatures of neural control, including unique bursts of coordinated hindlimb muscle activity, differential tuning strategies for jump distance, and active requirements for spinal neural drive. Mapping activity across lumbar interneuron populations and functionally screening candidate cell types for their ability to drive coordinated movement revealed that a population of dorsal excitatory dILB6 neurons can autonomously evoke coordinated multi-joint hindlimb flexion characteristic of the jumping flight phase, across behavioral contexts. These findings provide a specific cellular substrate for the long-standing concept of spinal modular motor control: a flexible, preconfigured motor template that the mammalian CNS can recruit and modulate to meet the demands of natural behavior. ### Competing Interest Statement The authors have declared no competing interest. Intramural Research Program of the National Institutes of Health (NIH)
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
Big thanks to all labs that made their work freely available on Addgene @janeliagenie.bsky.social, @hoddana.bsky.social, @loogerl.bsky.social, @massecklab.bsky.social, Dorus Gadella, and many others. Their openness is a real model for how science ought to work.
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
Another thing we learned. Blue light resistance is easy to break. We found a few variants along the way that made blue light resistance worse. A clear takeaway is that this is something that should be screened for up front, rather than just optimizing for response sizes.
giphy.com
nbc GIF - Find & Share on GIPHY
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
We’re now testing ScaRCaMP-2.0 in vivo and are working hard to continue to optimize this to create a better tool for all-optical experiments. This is still a work in progress, but we hope this provides a new path for blue-light resistant biosensors! Reach out to us if you want to try this out!
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
We simulated possible structures of our sensor and @dkoveal.bsky.social noticed a possible mechanism that looks distinct from other GECIs. We used this to further optimize our sensor to create ScaRCaMP-2.0, which has double the response size of ScaRCaMP-1.0 and retains its blue-light resistance.
giphy.com
2001 a space odyssey GIF - Find & Share on GIPHY
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
We screened candidate sensors for both response sizes and blue light resistance. After pushing the boulder up the hill for nearly two years, @xshirleyz.bsky.social made our first sensor, ScaRCaMP-1.0. Its response size isn’t huge, but it is impressively resistant to blue light (up to 200 mW/mm^2).
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
Almost all red FPs used in GECIs respond to blue light. This makes multiplexing complicated and sometimes impossible. We found that nearly all state-of-the-art red GECIs have some blue light sensitivity. So, we set out to make a new GECI using mScarlet-I3 that is highly resistant to blue light.
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
For a variety of reasons it’s preferrable to use red GECIs with blue-light-actuated optogenetic tools. Current GECIs are high SNR and express well in vivo, but...
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
GECIs are foundational tools in systems neuroscience. There has been recent interest in using them in “all-optical” experiments where we can read/write neural activity using different parts of the visible spectrum.
giphy.com
Stanley Kubrick 70Mm GIF by Coolidge Corner Theatre - Find & Share on GIPHY
GIPHY image by Coolidge Corner Theatre
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
We made a highly blue-light resistant red-fluorescent genetically encoded calcium sensor GECI) www.biorxiv.org/content/10.6... BluePrint™ 🗺️ below:
biorxiv.org
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Jeff Markowitz @vulcnethologist.bsky.social · 04/03/2026
Second preprint from the lab. Collab with @dkoveal.bsky.social, with many more to come! Effort led by @xshirleyz.bsky.social with help from Brittany Addison, @ezeyulu00.bsky.social, Claire Deng (on the grad school market, better act fast, Claire’s amazing!), @ajemanuel.bsky.social, and many others!
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Vinny Costa @vincentcostaphd.bsky.social · 27/02/2026
Monitoring gene expression in the brain with a simple blood test? In collaboration with @jerzyszablowski.bsky.social & his lab we figured out how to do it nonhuman primates using noninvasive neuroengineering of synthetic serum markers. nam11.safelinks.protection.outlook.com?url=https%3A...
nam11.safelinks.protection.outlook.com
ScienceDirect.com | Science, health and medical journals, full text articles and books.
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PessoaBrain @pessoabrain.bsky.social · 29/01/2026
𝗦𝗽𝗼𝗻𝘁𝗮𝗻𝗲𝗼𝘂𝘀 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿 𝗶𝘀 𝗮 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗶𝗼𝗻 𝗼𝗳 𝘀𝗲𝗹𝗳-𝗱𝗶𝗿𝗲𝗰𝘁𝗲𝗱 𝘁𝗮𝘀𝗸𝘀 More hidden markov models for cool behaviors and brain data #neuroskyence doi.org/10.1016/j.ne...
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Jeff Markowitz @vulcnethologist.bsky.social · 03/10/2025
Thanks Ariel, excited to get this out into the world!
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
This work was driven by the singular vision and dedication of Zeynep Ulutas, @ezeyulu00.bsky.social . We could not have finished this without @amartyapradhan.bsky.social . @dkoveal.bsky.social provided key guidance on chemistry.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
We’re pumped about the future of this technique and are excited to share it with the community. There’s still a lot to optimize, but we’d like to optimize it with you! Seriously, reach out to us, we're nice!
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
We built a dataset with 100,000(ish) automatically labeled frames. Since the labels are localized through fluorescence, no labeling ambiguity! Turns out: with this many frames you can train techniques like SLEAP and DLC to label body parts with close to sub-mm precision.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
We figured out another cool trick. Markerless trackers require labeling of hundreds of frames (click, click, rinse & repeat 500 times). We worked out a machine learning pipeline to take data where we fluorescently tagged 10 body parts and automatically labeled all frames without human intervention.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
We successfully targeted the fatty tissue beneath the skin and even into the knee joint! Both of these were readily resolvable with off-the-shelf cameras. If you’re handy, you can pluck out the IR filter in your cameras and try it yourself.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
We hit our first hurdle. Standard particle mixtures diffused away within 48 hours. So we formulated alternatives, and now we can watch the insides of mice glow for months as they freely move! We call the end-result Quantum Dot-based Pose estimation in vivo or…QD-Pi (pun intended).
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
With the first person in the lab, @ezeyulu00.bsky.social , we came up with the idea of injecting near-infrared-fluorescent nanoparticles to make little orbs of light inside the body that we could see from the outside.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
Markerless trackers like DLC, SLEAP, DANNCE, Lightning Pose, and others have totally revolutionized tracking movement, since they don’t require the mice to wear anything. BUT, their precision is generally not as good as marker-based methods.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
Unlike Mr. Serkis, mice don’t like the suit, and they don’t like anything being attached to their skin. And even if you did manage to get something onto/into the skin, they have lots of fatty tissue, which makes their gelatinous bodies hard to track from the “outside-in”.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
If we want to understand movement, we have to track it. In people, we can look like Andy Serkis and wear a Styrofoam ball bedazzled swimsuit.
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Jeff Markowitz @vulcnethologist.bsky.social · 02/10/2025
Our first preprint has been accepted for publication www.science.org/doi/10.1126/... !! tldr: @ezeyulu00.bsky.social , @amartyapradhan.bsky.social , @dkoveal.bsky.social and I developed a method using injectable nanoparticles to turn mice into…constellations in motion. 🧵⤵️
science.org
High-resolution in vivo kinematic tracking with customized injectable fluorescent nanoparticles
Injectable fluorescent nanoparticles were used to track positions on and inside of freely moving animals at high resolution.
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Reposted by Jeff Markowitz
Matt Banghart @mattbanghart.bsky.social · 08/07/2025
another new reagent from the lab! pubs.acs.org/doi/10.1021/...
pubs.acs.org
A Chemically Stable Photocaged Noradrenaline
Photoactivatable neurotransmitters provide spatiotemporally precise experimenter control over endogenous receptor activation in living tissue. The resulting optical stimulus-neuronal response relationship provides a sensitive assay that can drive quantitative studies into receptor signaling. Here, we report a photocaged derivative of the prominent catecholamine neurotransmitter noradrenaline (NA). Appending a carboxynitroveratryl (CNV) caging group to the 4-hydroxyl of the catechol group produced CNV-NA, which displays good aqueous solubility and chemical stability. We verified CNV-NA’s lack of activity at α1B- and β2-adrenoreceptors expressed in HEK cells using a live-cell cAMP assay. We validated CNV-NA photoactivation at native α2-adrenoreceptors in brain slices of rat locus coeruleus using whole cell electrophysiological recordings. Monitoring the stereotyped outward current response to repeated CNV-NA photoactivation revealed that the neuropeptide substance P suppresses α2-adrenoreceptor signaling in locus coeruleus neurons. This work adds a new reagent to the growing library of photocaged neuroactive ligands, thereby expanding the scope and applications of photopharmacology.
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Hugo Spiers @hugospiers.bsky.social · 15/05/2025
Impressive study in @nature from my colleague Marcus Stephenson-Jones at UCL in the @sainsburywellcome.bsky.social www.nature.com/articles/s41...
nature.com
Dopaminergic action prediction errors serve as a value-free teaching signal - Nature
Dopaminergic action prediction error signals are used by mice as a value-free teaching signal to reinforce stable sound–action associations in the tail of the striatum.
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Ben Saunders @bensaunders.bsky.social · 12/05/2025
Very honored to be awarded tenure officially this week. SO grateful to my amazing lab, and to mentors, sponsors, and friends who played an absolutely essential part in this.
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Ben Saunders @bensaunders.bsky.social · 21/03/2025
Our latest! We measure dopamine signals as rats disambiguate cues that predict reward or threat. We find that dopamine flexibly tracks the changing salience and value of cues, but according to region-specific scales, rapid within-trial dopamine fluctuations prioritize different stimulus features.
jneurosci.org
Striatal dopamine represents valence on dynamic regional scales
Adaptive decision making relies on dynamic updating of learned associations where environmental cues come to predict valenced stimuli, such as food or threat. Cue-guided behavior depends on a network ...
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Institute for Neuroscience, Neurotechnology, and Society @gt-neuro.bsky.social · 08/05/2025
And that's a wrap on #InterfaceNeuroGT! Thank you to the organizers and attendees for a great meeting. See you next year at @riceneuro.bsky.social! @crozell.bsky.social @vulcnethologist.bsky.social @gtresearchnews.bsky.social
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Institute for Neuroscience, Neurotechnology, and Society @gt-neuro.bsky.social · 08/05/2025
The final #InterfaceNeuroGT session covered joint modeling of brain and behavior. Speakers highlighted how they're using innovative computational and experimental approaches to understand how neural activity influences behavior and intention. Chaired by @vulcnethologist.bsky.social.
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Datta Lab @dattalab.bsky.social · 09/05/2025
Maps are everywhere in the brain...and finally we've discovered one in the nose! Led by @davidhbrann.bsky.social, we uncovered the logic that specifies the positions of each of the 1,000 sensory neuron subtypes in the nose and aligns their projections to the brain.👇👃see more details below👃👇
biorxiv.org
A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain
Although topographical maps organize many peripheral sensory systems, it remains unclear whether olfactory sensory neurons (OSNs) choose which of the ~1100 odor receptors (ORs) to express based upon t...
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Ann Kennedy @antihebbiann.bsky.social · 08/05/2025
InterfaceNeuro was a great meeting! There is such an impressive range of technologies being developed for neuromodulation and brain-computer interfaces. It was nice to see this work presented alongside more basic science efforts to figure out exactly what/where we should be modulating.
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Jeff Markowitz @vulcnethologist.bsky.social · 08/05/2025
Wrote a review with some thoughts about dopamine's role in movement. Hope people find it useful and/or stimulating! Thanks again to @bensaunders.bsky.social for the invitation and editing this issue. kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F...
kwnsfk27.r.eu-west-1.awstrack.me
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Bilal Haider @haiderlab.bsky.social · 27/03/2025
Exciting new results from the lab -- *visual* receptive fields in motor and cingulate cortex! Great work from Tony Lien 🧠🧪
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Tim Sainburg @timsainburg.bsky.social · 30/03/2025
My talk at COSYNE is up: "Discrete actions are a unit of both behavior and evolutionary selection" with @akautt.bsky.social and @dattalab.bsky.social www.youtube.com/live/Y8Ke6HC...
youtube.com
Cosyne 2025 - Session 9: Building blocks of cognition
YouTube video by Cosyne Talks
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Bence Ölveczky @olveczky.bsky.social · 04/03/2025
Excited to present the latest from the lab out today in Cell www.cell.com/cell/fulltex.... See Thread! 1/8
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Jan Drugowitsch @jdrugowitsch.bsky.social · 19/02/2025
Excited that Adam Lowet's PhD work has been just been published in @nature.com at doi.org/10.1038/s415.... He has already posted about it on Twitter/X (see twitter.com/Adam_Lowet/s...), but let me re-post his thread here. 1/9
Picture of Nature article, published 19 Feburary 2025, titled "An opponent striatal circuit for distributional reinforcement learning", with authors Adam S. Lowet, Qiao Zheng, Melissa Meng, Sara Matias, Jan Drugowitsch & Naoshige Uchida.
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Naoshige Uchida @naoshigeuchida.bsky.social · 19/02/2025
Our new paper on distributional reinforcement learning.
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Anita Devineni @anitadevineni.bsky.social · 13/02/2025
Amidst all the terrible things, it's nice to have some good news - our paper on the architecture of fly taste circuits is published now! Led by Emory undergrad Sydney Walker and grad student Marco Peña Garcia. Paper here: www.nature.com/articles/s41... Summary here: devinenilab.org/news/connect...
nature.com
Connectomic analysis of taste circuits in Drosophila - Scientific Reports
Scientific Reports - Connectomic analysis of taste circuits in Drosophila
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Jason Keller @neurojak.bsky.social · 13/02/2025
(1/11) Today I preprinted a lot of work from my postdoc with @dudman.bsky.social, which started with a question of how the nervous system balances flexibility with efficiency of learning. The thread below gives some background.... www.biorxiv.org/content/10.1...
biorxiv.org
Cortical control of innate behavior from subcortical demonstration
Motor control in mammals is traditionally viewed as a hierarchy of descending spinal-targeting pathways, with frontal cortex at the top. Many redundant muscle patterns can solve a given task, and this...
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Chris Rozell @crozell.bsky.social · 22/01/2025
I’m inviting you to attend a conference May 7-8 at Georgia Tech called InterfaceNeuro (interfaceneuro.org), targeting the intersection of neuroscience, neuroengineering, clinical/translational research, neurotech industry, and individuals with lived experiences. Please share! #neuroskyence 🧠🧪
interfaceneuro.org
InterfaceNeuro | Conference on Neuroengineering
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William Menegas @williammenegas.bsky.social · 19/12/2024
Really happy to share our preprint now on @elife.bsky.social on quantifying patterns in a large behavioral dataset from >100 socially-housed marmosets elifesciences.org/reviewed-pre.... We hope this data be useful for identifying atypical patterns of behavior in disease models in our lab and others.
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Ben Saunders @bensaunders.bsky.social · 11/12/2024
Stoked to have this project now accepted for publication in @currentbiology.bsky.social! Stay tuned for the final version soon.
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Sam Gershman @gershbrain.bsky.social · 09/12/2024
Nice to see this paper out from Jack Lindsey and his collaborators: elifesciences.org/reviewed-pre... They diagnose a fundamental problem with existing models of striatal plasticity, show how to fix it, and then reanalyze data from recordings of striatal projection neurons to support the model.
elifesciences.org
Dynamics of striatal action selection and reinforcement learning
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