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Monosov Lab

@monosovlab.bsky.social
233 followers 113 following 37 posts

Studying the algorithms and circuits of decision making, emotion, and biological and artificial learning at Johns Hopkins

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Monosov Lab @monosovlab.bsky.social · 08/10/2026
I stand with the victims of the terrible the pogrom of Oct 7. My family brought me to America from russia to escape such violence.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
11/11 Congrats to Kevin Xu and colleagues, and a big thank you to my senior co-author, collaborator, and friend Hong Chen.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
10/11 In sum, we found a manipulable circuit for top-down control of the heart. We think it's a piece of the foundation for understanding how cognition and emotion shape the body, and a possible target for therapies that restore healthy brain–heart coupling.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
9/11 And what about cognition? In a risky decision task, sonogenetic activation of a12 shifted behavior toward uncertain, immediate rewards. Chemogenetic inactivation did the reverse. Off-target ultrasound had no effect.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
8/11 Can the circuit be engaged less invasively? We expressed TRPV1 in a12 and stimulated with ultrasound. Heart rate variability rose during stimulation, far more than in TRPV1-negative or off-target controls. Silencing LHA blunted the effect.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
7/11 Chemogenetically silencing a12 (hM4Di DREADD + DCZ), or dampening a12 terminals in LHA, raised heart rate.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
6/11 a12 neurons also tracked the heart. A sizable fraction followed spontaneous heart rate fluctuations over seconds, not beat by beat. Some shifted their firing before the heart changed, mostly cells that fire more when heart rate is low.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
5/11 These effects weren't simply a byproduct of movement or arousal. LHA effects came on faster than a12 effects, and the a12 effects were more state-dependent, which is what you expect from top-down control.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
4/11 Tracing showed dense projections into that zone from ventrolateral PFC area 47/12 (a12). Stimulating a ventral part of a12 suppressed heart rate much like LHA did. Areas 13 and cingulate also project to LHA but stimulating them had weaker effects.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
3/11 Mapping the hypothalamus with focal stimulation, we found a small zone in lateral hypothalamus (LHA) where stimulation rapidly slowed the heart, as if it skipped a beat. Silencing that same zone increased heart rate.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
2/11 Heart rate is a window into internal state, and brain–heart dysregulation shows up across psychiatric disorders. But how the circuits that support cognition exert direct, causal control over the heart is still poorly understood.
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Monosov Lab @monosovlab.bsky.social · 25/09/2026
1/11 How does the brain make the heart skip a beat? New preprint: a prefrontal→hypothalamus circuit that controls heart rate. www.biorxiv.org/content/10.6...
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Monosov Lab @monosovlab.bsky.social · 16/09/2026
Deeply incredible. Congrats
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Reposted by Monosov Lab
Guillaume Lajoie @glajoie.bsky.social · 15/09/2026
In brain-computer interfacing, clever and adaptive decoders help brains learn complex tasks faster. These can impact the nature of solutions learned by the brain. Our new paper is one of the first attempts to study this effect. W/ @neuroamyo.bsky.social and team www.nature.com/articles/s41...
nature.com
Assistive algorithms influence neural representations in motor brain-computer interfaces - Nature Communications
Assistive algorithms are widely used in brain-computer interfaces (BCIs), but their effects on neural representations remain unclear. Here, the authors show that adaptive BCIs lead the brain to learn ...
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Monosov Lab @monosovlab.bsky.social · 15/09/2026
New preprint! 🧠 How do reward, risk & information preferences relate to psychopathology? How do they vary across decisions about gains vs. losses? 1,954 people! Hundreds of economic choices each + transdiagnostic assessment of mental health symptoms online. www.biorxiv.org/content/10.6...
biorxiv.org
A dimensional link between gain-loss economic preferences and psychopathology
Human decision-makers differ in how they value and trade off reward, risk, and information when evaluating future gains and losses, and these preferences are central to well-being. However, how multi-...
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Monosov Lab @monosovlab.bsky.social · 04/08/2026
Excited to speak at CalTech and hear the exciting work from others: wellbeing-agency.jp/symposium2026/
wellbeing-agency.jp
The 2nd International Symposium for Well-being and Agency
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Reposted by Monosov Lab
Columbia University's Zuckerman Institute @zuckermanbrain.bsky.social · 30/07/2026
Where does curiosity come from? Neuroscientist @jenbussell.bsky.social wants to know. She found that mice, like us, seek information with no external benefit. Her new Nature Neuroscience research links this desire for knowledge to cells in the brain's orbitofrontal cortex. See tinyurl.com/3xjt8e5c
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Monosov Lab @monosovlab.bsky.social · 17/07/2026
Ecology of curiosity framework for adaptive and maladaptive human–AI ecosystems --a generalist article with psychology and neuroscience (this is a companion to the Arxiv I recently posted) doi.org/10.31234/osf...
doi.org
OSF
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Monosov Lab @monosovlab.bsky.social · 08/07/2026
arxiv.org/abs/2607.06214
arxiv.org
A toy framework for single and multi-agent human-AI curiosity ecosystems
This paper offers a toy framework for considering curiosity as an ecosystem. First, it suggests that a single agent's inquiry policy (how, when, and why an agent asks a question) depends on how the ag...
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Reposted by Monosov Lab
Roxana Zeraati @roxana-zeraati.bsky.social · 07/07/2026
Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.
nature.com
Neural timescales from a computational perspective - Nature Neuroscience
This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...
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Monosov Lab @monosovlab.bsky.social · 03/07/2026
Go Julia Pai, Fatih Sogukpinar et al. Heavily revised work on astrocytes role in learning. Incredibly grateful for the team's hard work on this. Extended biology and theory now added! www.biorxiv.org/content/10.1...
biorxiv.org
Ventral striatal astrocytes contribute to reinforcement learning
Astrocytes influence synaptic plasticity and neuronal function through astrocytic calcium dynamics (ACD). However, astrocytes’ contribution to cognitive operations like reinforcement learning (RL) rem...
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Monosov Lab @monosovlab.bsky.social · 13/06/2026
New beautiful normative/theory paper from Ethan Bromberg-Martin with Josh Merel Why are we curious? What is the origin of our non instrumental seeming information preference? www.biorxiv.org/content/10.6...
biorxiv.org
Why do we seek information about the future? On the origins of subjective value without instrumental value
Why do we want to know the future? Humans and many animals pay for information to predict uncertain rewards, even when they cannot control them. The reason for this conserved yet seemingly paradoxical...
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Monosov Lab @monosovlab.bsky.social · 05/05/2026
back at revising this beast on astrocytes and learning....
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Monosov Lab @monosovlab.bsky.social · 29/04/2026
Yea way overdue
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Monosov Lab @monosovlab.bsky.social · 29/04/2026
happy 2 see Dr Okihide Hikosaka elected to NAS Okihide has done an amazing amount of true discovery Think big contributions to understanding of mechanisms of saccadic control, chunking and skill formation, reinforcement learning, and more! Also a great mentor and friend.
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Monosov Lab @monosovlab.bsky.social · 17/04/2026
Congratulations to my great students Arman Hatami and Romina Aalishah on their new study of machine unlearning and forgetting accepted. arxiv.org/abs/2604.15166 This has had clear implications for ML and neuroscience (albeit from different angles), and we continue this work in both disciplines….
arxiv.org
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
Machine unlearning aims to remove targeted knowledge from a trained model without the cost of retraining from scratch. In class unlearning, however, reducing accuracy on forget classes does not necess...
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Monosov Lab @monosovlab.bsky.social · 05/04/2026
I am deeply grateful to the Bloomberg Endowment for supporting both our research and broader vision! We hope that our work will contribute to next generation of psychiatry treatments, bci, and ai development.
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Monosov Lab @monosovlab.bsky.social · 13/02/2026
Great Bita
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Monosov Lab @monosovlab.bsky.social · 09/02/2026
! New paper from the lab ! How does novelty impact value-based decision making ? What are the circuits and what mechanisms do they implement? Congratulations to Dr. Takaya Ogasawara and team www.cell.com/neuron/fullt...
cell.com
Temporal-orbitofrontal pathway regulates choices across physical reward and visual novelty
Novelty can directly impact valuation of future outcomes, affecting how we choose among rewards such as food or money. This is the case even when novelty is objectively valueless. Here, Ogasawara et a...
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Reposted by Monosov Lab
Nature @nature.com · 24/11/2025
Nature research paper: Integrator dynamics in the cortico-basal ganglia loop for flexible motor timing go.nature.com/4oX2rmq
go.nature.com
Integrator dynamics in the cortico-basal ganglia loop for flexible motor timing - Nature
How the mouse frontal cortex and striatum interact to implement integrator dynamics controlling movement timing is explored.
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Monosov Lab @monosovlab.bsky.social · 21/10/2025
incredible collaborating with you Naoki. hanging out in your office and discussing the details was really fantastic and i gained much insight through it.
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Monosov Lab @monosovlab.bsky.social · 21/10/2025
How do non-neuronal CNS cells called astrocytes contribute to cognition & computation? See our preprint Headed by my students Julia Pai and Fatih Sogukpinar, also working with Hiratani, Pignatelli, Papouin, Frank, and Ching labs. This was a huge effort www.biorxiv.org/content/10.1...
biorxiv.org
Ventral striatal astrocytes contribute to reinforcement learning
Astrocytes influence synaptic plasticity and neuronal function through astrocytic calcium dynamics (ACD). However, astrocytes contribution to cognitive operations like reinforcement learning (RL) rema...
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Monosov Lab @monosovlab.bsky.social · 28/05/2025
she is brilliant
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Monosov Lab @monosovlab.bsky.social · 05/05/2025
Excited to work with you and the Dept! Challenging times but science remains truly thrilling!
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Monosov Lab @monosovlab.bsky.social · 05/05/2025
thanks for your kindness, support, and friendship
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Monosov Lab @monosovlab.bsky.social · 05/05/2025
At JHU, our team will work on the circuit / algorithmic basis of intelligence & cognition, with attention to their malfunction in disease. We are looking for new team members with experience in circuit neuroscience, biology, or machine intelligence. Please DM if u are interested.
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Monosov Lab @monosovlab.bsky.social · 05/05/2025
Some professional news : My team is moving to Johns Hopkins University this Summer. I am deeply grateful to Washington University for supporting us since 2014. It has been an amazing journey full of brilliant colleagues and friends.
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Monosov Lab @monosovlab.bsky.social · 24/04/2025
Absolutely. But not “disorganized” either. Very particular pathways with likely somewhat dissociable learning rules (eg., timescales) supported by distinct cell types and modulators - that’s roughly my bet
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Monosov Lab @monosovlab.bsky.social · 21/04/2025
New work! How does perceptual novelty impact the value of (physical) rewards: what are the underlying algorithms and neural mechanisms? The answers may help to construct smarter AIs and to understand how and why novelty seeking breaks in psychiatric disorders. www.biorxiv.org/content/10.1...
biorxiv.org
Temporal-orbitofrontal pathway regulates choices across physical reward and visual novelty
Perceptually novel objects have profound impacts on our daily decisions. People often pay to try novel meals over familiar ones, or to see novel visual scenes at art exhibits and travel destinations. ...
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Monosov Lab @monosovlab.bsky.social · 03/04/2025
congrats @alexkwan.bsky.social www.nature.com/articles/s41...
nature.com
Psilocybin’s lasting action requires pyramidal cell types and 5-HT2A receptors - Nature
A pyramidal cell type and the 5-HT2A receptor in the medial frontal cortex have essential roles in psilocybin’s long-term drug action.
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Monosov Lab @monosovlab.bsky.social · 28/01/2025
First blue sky post is to celebrate! Incredibly proud of Dr Julia Pai. Fantastic defense and pioneering project on non-neuronal cells in Reinforcement Learning! Now almost off to her next chapter. Paper in prep!
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