Emerson Harkin

Emerson Harkin

@efharkin.bsky.social

Computational neuroscience post doc interested in serotonin | Dayan lab @mpicybernetics.bsky.social | 🇨🇦 in 🇩🇪

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I'm excited to share that the last chapter of my PhD thesis is now published in Nature! 🍾 What drives serotonin neurons? We think it's the expectation of future reward and --- critically --- how fast this expectation is increasing. 📈 doi.org/10.1038/s415... 1/6

doi.orgA prospective code for value in the serotonin system - NatureMerging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...

Emerson Harkin reposted

Emerson Harkin reposted

It’s less than 10 days until we start reviewing applications for our postdoc position @mpicybernetics.bsky.social, if you’re interested in cross-species studies of adaptive decision-making, make sure to submit your applications by Oct 30. The deadline for our PhD position is also approaching!

Shervin Safavi@neuroprinciplist.bsky.social

Link to ads: Postdoc position: nextcloud.tuebingen.mpg.de/index.php/s/... PhD position: nextcloud.tuebingen.mpg.de/index.php/s/... We’re also both at @bernsteinneuro.bsky.social and happy to chat!

Emerson Harkin reposted

1/ Why does predicting in latent space (JEPA, CPC, SimCLR...) work so well on messy data, with changing lighting, camera angles, and busy backgrounds? The usual answer: it can ignore nuisance. But that answer holds a conundrum.

Emerson Harkin reposted

Dopamine neurons are heterogeneous, but their diffuse axons are homogenizing. What does this mean for RL models? Stop by poster 362 at #FENS2026 this morning to find out! "Multi-timescale reward prediction learning dynamics with entangled connectivity between the striatum and the dopamine system."

Emerson Harkin reposted

Come see this paper at ICML 2026 tomorrow (July 7th)! Poster number 613 at the 2pm poster session:)

Ezekiel Williams@ezekielwilliams.bsky.social

1/7 Excited to share my last PhD article, just accepted to ICML 2026! In it, we (me, Alexandre Payeur, Guillaume Lajoie) used dynamical systems theory to study "local" learning in linear recurrent neural networks. See link for the paper, and thread for a brief summary. arxiv.org/abs/2606.00243

Great opportunity to work with a group that's very productive yet somehow also easygoing! To get an idea of Roxana's interests check out her recent review, just out in Nature Neuroscience: doi.org/10.1038/s415...

Roxana Zeraati@roxana-zeraati.bsky.social

We (@neuroprinciplist.bsky.social & I) will soon open joint PhD & postdoc positions on cross-species mechanisms of different adaptive behaviors. If you’re interested and would like to chat during #FENS2026, drop me a message :)

As Feynman once said, "What I cannot create in Javascript, I do not understand." I still don't understand the dopamine field, but I learned more than I expected from this project, and I hope you will too. 3/3

Emerson Harkin reposted

How are the fluctuations in electric field organized across the whole brain? We analyzed the 3.4 M samples from the international brain lab using a combination of deep learning and graph theory. We found a surprising structure made of communities and landmarks. doi.org/10.1101/2025...

What can rock-paper-scissors tell us about what I think that you think that I'm thinking? Check out this cool work to find out! 🤛🤛📄

Niklas Buergi@niklasbuergi.bsky.social

How does the brain decide which mental strategy to use when inferring others' beliefs? Excited to (finally!) see my first first-author paper out @natneuro.nature.com Summary below 🧵 #CogSci #CogNeuro www.nature.com/articles/s41...

Emerson Harkin reposted

This is one of the most outstanding examples of circuit understanding I've seen in a long time. The unification of theory and experiment is beautiful. When Malcolm presented this in my lab, the audience was cheering at the end, and one person shouted (non-ironically) "You did it!"

Malcolm Campbell@malcolmgcampbell.bsky.social

🚨Our preprint is online!🚨 www.biorxiv.org/content/10.1... How do #dopamine neurons perform the key calculations in reinforcement #learning? Read on to find out more! 🧵

Emerson Harkin reposted

So happy to see this work out! 🥳 Huge thanks to our two amazing reviewers who pushed us to make the paper much stronger. A truly joyful collaboration with @lucasgruaz.bsky.social, @sobeckerneuro.bsky.social, and Johanni Brea! 🥰 Tweeprint on an earlier version: bsky.app/profile/modi... 🧠🧪👩‍🔬

Open Mind@openmindjournal.bsky.social

dlvr.itMerits of Curiosity: A Simulation StudyAbstract‘Why are we curious?’ has been among the central puzzles of neuroscience and psychology in the past decades. A popular hypothesis is that curiosity is driven by intrinsically generated reward signals, which have evolved to support survival in complex environments. To formalize and test this hypothesis, we need to understand the enigmatic relationship between (i) intrinsic rewards (as drives of curiosity), (ii) optimality conditions (as objectives of curiosity), and (iii) environment structures. Here, we demystify this relationship through a systematic simulation study. First, we propose an algorithm to generate environments that capture key abstract features of different real-world situations. Then, we simulate artificial agents that explore these environments by seeking one of six representative intrinsic rewards: novelty, surprise, information gain, empowerment, maximum occupancy principle, and successor-predecessor intrinsic exploration. We evaluate the exploration performance of these simulated agents regarding three potential objectives of curiosity: state discovery, model accuracy, and uniform state visitation. Our results show that the comparative performance of each intrinsic reward is highly dependent on the environmental features and the curiosity objective; this indicates that ‘optimality’ in top-down theories of curiosity needs a precise formulation of assumptions. Nevertheless, we found that agents seeking a combination of novelty and information gain always achieve a close-to-optimal performance on objectives of curiosity as well as in collecting extrinsic rewards. This suggests that novelty and information gain are two principal axes of curiosity-driven behavior. These results pave the way for the further development of computational models of curiosity and the design of theory-informed experimental paradigms.

Emerson Harkin reposted

Looking forward to attending #CCN2025 for the first time and presenting the first steps of my postdoc project! If you’re interested in how learning the temporal structure of the environment affects foraging decisions and how we’re testing this in a naturalistic experiment come by poster B90, Wed.

Emerson Harkin reposted

🚨Pre-print alert🚨 We stimulated serotonin with optogenetics while doing large-scale Neuropixel recordings across the mouse brain. We found strong widespread modulation of neural activity, but no effect on the choices of the mouse 🐭 How is this possible? Strap in! (1/9) 👇🧵 doi.org/10.1101/2025...

doi.orgSerotonin drives choice-independent reconfiguration of distributed neural activitySerotonin (5-HT) is a central neuromodulator which is implicated in, amongst other functions, cognitive flexibility. 5-HT is released from the dorsal raphe nucleus (DRN) throughout nearly the entire f...

Emerson Harkin reposted

I've been watching the debate over "representations" in neuroscience 🍿 and I wanted to suggest a thought experiment: Suppose a driver sees a 🛑 and this causes vision neurons to spike in a characteristic way, but the driver blows through the intersection. Is the stop sign *represented* in the brain?

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3. Slightly tangential: If we did a controlled experiment beforehand that involved randomly presenting a 🛑 while recording neural activity, we can say that the 🛑 *causes* the activity. 🧪 No need to use weasel words and say "activity correlates with 🛑".

What do you think? If a 🛑 is represented in a forest and no behaviour is there to hear it, does it really make a sign? Inspired by this thought-provoking thread from @neuralreckoning.bsky.social: bsky.app/profile/neur...

Dan Goodman@neural-reckoning.org

This podcast was very interesting, but I think I have a dissatisfaction with the concept of representation in neuroscience that goes behind what they discussed in the podcast. I'd be interested to hear thoughts on whether this is interesting, wrong, obvious, etc. 🧵

I've been watching the debate over "representations" in neuroscience 🍿 and I wanted to suggest a thought experiment: Suppose a driver sees a 🛑 and this causes vision neurons to spike in a characteristic way, but the driver blows through the intersection. Is the stop sign *represented* in the brain?

🤓 My uninformed opinion: 1. We can say that a red octagon is represented. 2. If drivers usually stop, we can say a stop sign is represented even if this particular driver didn't stop this time. 3. (continued 👇)

⏰ Check out this inspiring pair of articles from @paulmasset.bsky.social and Margarida Sousa! Some dopamine neurons care about rewards far in the future more than others, allowing the brain to learn the timing of future rewards. Congrats to the authors! 🍾 🔓 links: rdcu.be/epxkE rdcu.be/epxkG

rdcu.beA multidimensional distributional map of future reward in dopamine neuronsNature - An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional reinforcement learning to take account of reward time and magnitude, and behavioural and...

Emerson Harkin reposted

Replying to @tyrellturing.bsky.social

Ugh… there’s also what I call messianic AI, the fantasy that AI will “solve” science. Treating science like a vending machine for solitons/profit & scientists as human cogs replaceable by machinery. But Science is a living culture of critical discussion, mentorship, shared community values &methods.

TIL that at certain journals the date your paper is published online might be very different from the date it appears in print. Unrelated, is there anyone whose work was published in the March 27 print edition of Nature who'd like several copies to share with supportive family members?

Emerson Harkin reposted

Most simulators for time-series data (e.g., numerical solvers for differential equations) are Markovian-- this can be exploited for efficient simulation-based inference on time-series data! Talk to Manuel and Shoji at #ICLR2025, or read the paper ⬇️!

Machine Learning in Science@mackelab.bsky.social

Excited to present our work on compositional SBI for time series at #ICLR2025 tomorrow! If you're interested in simulation-based inference for time series, come chat with Manuel Gloeckler or Shoji Toyota at Poster #420, Saturday 10:00–12:00 in Hall 3. 📰: arxiv.org/abs/2411.02728

Emerson Harkin reposted

Attention climate scholars seeking to leave the US: Next year the University of Ottawa will be seeking int'l candidates for a Canada Excellence Research Chair in "Climate and Societal Solutions" (broadly defined) They'll seek established scholars with global reach in this area (see below)...

Emerson Harkin reposted

Many people (myself included), note the lack of top-down feedback in deep NN models of the brain. Mashbayar has come to the rescue! She built a code-base for making models with top-down feedback. Check out her paper at @elife.bsky.social showing the impact of FB on audio-visual integration. 🧠📈 🧪

Mashbayar Tugsbayar@tmshbr.bsky.social

Top-down feedback is ubiquitous in the brain and computationally distinct, but rarely modeled in deep neural networks. What happens when a DNN has biologically-inspired top-down feedback? 🧠📈 Our new paper explores this: elifesciences.org/reviewed-pre...

When a scientific idea is ambiguous, is it good to err on the side of agreeing with it? Sometimes I read discussions like "Our data are broadly consistent with X and Y," where X and Y are plausibly contradictory but vague enough that there's wiggle room.

Emerson Harkin reposted

Our latest study identifies a specific cell type and receptor essential for psilocybin’s long-lasting neural and behavioral effects 🍄🔬🧠🧪 Led by Ling-Xiao Shao and @ItsClaraLiao Funded by @NIH @NIMHgov 📄 Read in @nature.com - www.nature.com/articles/s41... 1/12

nature.comPsilocybin’s lasting action requires pyramidal cell types and 5-HT2A receptors - NatureA pyramidal cell type and the 5-HT2A receptor in the medial frontal cortex have essential roles in psilocybin’s long-term drug action.

Emerson Harkin reposted

At #COSYNE2025? Come say hi at poster 116 tonight (Thursday)!

Emerson Harkin@efharkin.bsky.social

I'm excited to share that the last chapter of my PhD thesis is now published in Nature! 🍾 What drives serotonin neurons? We think it's the expectation of future reward and --- critically --- how fast this expectation is increasing. 📈 doi.org/10.1038/s415... 1/6

I'm excited to share that the last chapter of my PhD thesis is now published in Nature! 🍾 What drives serotonin neurons? We think it's the expectation of future reward and --- critically --- how fast this expectation is increasing. 📈 doi.org/10.1038/s415... 1/6

doi.orgA prospective code for value in the serotonin system - NatureMerging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...
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What does this model mean for the role of serotonin in regulating behaviour? It seems to fit with a role in promoting patient waiting by increasing expectation of immediate reward, but we aren't totally sure. Stay tuned! 6/6

I'm excited to share that the last chapter of my PhD thesis is now published in Nature! 🍾 What drives serotonin neurons? We think it's the expectation of future reward and --- critically --- how fast this expectation is increasing. 📈 doi.org/10.1038/s415... 1/6

doi.orgA prospective code for value in the serotonin system - NatureMerging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...
View full thread

Our key idea: We haven't been looking at these responses the right way. Serotonin neurons aren't (only) activated by current reward, they're (mainly) activated by changing expectations of reward in the future! We call this a prospective code for value. 4/6

I'm excited to share that the last chapter of my PhD thesis is now published in Nature! 🍾 What drives serotonin neurons? We think it's the expectation of future reward and --- critically --- how fast this expectation is increasing. 📈 doi.org/10.1038/s415... 1/6

doi.orgA prospective code for value in the serotonin system - NatureMerging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...