Dopamine Supports Reward Prediction to Shape Reward-Pursuit Strategy
Reward predictions not only promote reward pursuit, they also shape how reward is pursed. Such predictions are supported by environmental cues that signal reward availability and probability. Such cue...
π¨πNew Wassum Lab Paper ππ¨
Out today, Melissa Malvaez, Nick Griffin, Andrea Suarez & team discovered that dopamine can enable reward predictions to shape how we pursue reward.
Surprisingly, we find that dopamine can constrain instrumental reward seeking.
www.jneurosci.org/content/46/8...
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25.02.2026 23:47
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Reln haploinsufficiency alters fentanyl-induced striatal activity and adaptive responding without affecting opioid reinforcement https://www.biorxiv.org/content/10.64898/2026.02.21.707172v1
23.02.2026 21:16
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First work as a postdoc is live! Here we looked out the effect of Reln haploinsufficiency during contingent and non-contingent models of opioid use disorder π§¬π π check it out! www.biorxiv.org/content/10.6...
24.02.2026 02:00
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π Investigadores del @ibis-investigacion.bsky.social demuestran que el fΓ‘rmaco Ibudilast protege contra la pΓ©rdida de neuronas en ratones con Parkinson
π El estudio abre nuevas vΓas para el desarrollo de terapias modificadoras de esta patologΓa neurodegenerativa
βΉοΈ tinyurl.com/USIbudilast26
20.01.2026 08:49
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Estimating thresholds for risk of cannabis use disorder using standard delta-9-tetrahydrocannabinol (THC) units
20.01.2026 11:33
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π§ New year, new preprint!
Why does motor learning involve multiple brain regions? We propose that the cortico-cerebellar system learns a "map" of actions where similar movements are nearby, while basal ganglia do RL in this simplified space.
www.biorxiv.org/content/10.6...
05.01.2026 12:54
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How basic neuroscience has paved the path to new drugs
A growing list of medicationsβsuch as zuranolone for postpartum depression, suzetrigine for pain, and the gepants class of migraine medicinesβexist because of insights from basic research.
Awesome article on medical breakthroughs that came from basic neuroscience research in rodents. Major success examples in postpartum depression, non-opioid pain and migraine treatment.
This is exactly why funding basic science is so important!
www.thetransmitter.org/drug-develop...
31.12.2025 15:31
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Strikingly different neurotransmitter release strategies in dopaminergic subclasses.
buff.ly/Jr3RdzA
14.12.2025 23:28
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We will still consider applications submitted today and tomorrow!
02.12.2025 20:38
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0/10 Thanks for the interest in our preprint. Some takes say it negates or fully supports the βmanifold hypothesisβ, neither quite right. Our results show that if you only focus on the manifold capturing most of task-related variance, you could miss important dynamics that actually drive behavior.
02.12.2025 07:48
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Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification
Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choice...
βOur findings challenge the conventional focus on low-dimensional coding subspaces as a sufficient framework for understanding neural computations, demonstrating that dimensions previously considered task-irrelevant and accounting for little variance can have a critical role in driving behavior.β
23.11.2025 13:38
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Weβve come a full circle
27.11.2025 20:04
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microcentrifuge tube racks with Rack names
I was lucky enough to inherit a bunch of racks where a graduate student had labelled all of them with Rack jokes π, perfect. I am dead at Racksputin.
26.11.2025 17:37
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The Neuro Latine community invites you!
Sunday, November 16
7β9 p.m.
Marriott Marquis San Diego Marina β Grand Blrm 5
#NeuroLatine #SfN2025
12.11.2025 19:51
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Application Process ::
Center on Alcohol, Substance use, And Addictions (CASAA) | The University of New Mexico
We have at least TWO postdoctoral fellowship openings on our @unm.edu @casaa.bsky.social T32 NIAAA Training Grant, best consideration date for applications is Nov 15 2025. Join our phenomenal community and enjoy incredible quality of life in beautiful New Mexico. casaa.unm.edu/training/ins...
05.11.2025 22:30
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a woman with gray hair is sitting in front of a sign that says por 10 on it
ALT: a woman with gray hair is sitting in front of a sign that says por 10 on it
When you happily start the day with not a single meeting scheduled but only manage to write one paragraph of your manuscript because of all the little things that came up during the day
23.10.2025 21:28
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Long post ahead! I am very excited to be recruiting 1 to 2 #PhD students during this upcoming application cycle for Fall 2026 admission! The Clinical Psychology PhD program at The University of New Mexico (UNM) is absolutely stellar and accredited by both #APA and #PCSAS (Clinical Science model). 1/
30.09.2025 17:14
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So basically all the science that helps humanityβ¦. π€¦ββοΈ
27.09.2025 01:09
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A diagram showing dozens of brain regions densely interconnected by complicated loops
I think about this diagram a lot. This is a *simplified* schematic of *some of* the brain regions and circuits involved in behavioral control. (From: www.sciencedirect.com/science/arti...)
15.09.2025 07:53
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#eNeuro: @mattjwanat.bsky.social⬠et al. show that the cue-evoked dopamine response in rats signals the duration of the trace period between cue and reward, and relates to the response latency.
https://doi.org/10.1523/ENEURO.0016-25.2025
27.08.2025 11:32
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Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities
Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as βcounterfactual prediction machines,β which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).
Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.
A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).
Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.
Ever stared at a table of regression coefficients & wondered what you're doing with your life?
Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
25.08.2025 11:49
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Very excited to share this major update to our paper delineating VTA GABA neuron encoding of valence and decision conflict. Studies led by the amazing @margestelzner.bsky.social. We leaned in here, taking the opportunity to add a lot of cool new data. www.biorxiv.org/content/10.1...
21.08.2025 15:23
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Congrats to Sven Bervoets and co-authors for our paper on fly Arc now out in @currentbiology.bsky.social !! This was an awesome collaboration with @thecaronlab.bsky.socialβs lab @utah.edu
authors.elsevier.com/c/1lZlk3QW8S...
08.08.2025 23:01
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