Different learning algorithms achieve shared optimal outcomes in humans, rats, and mice
Animals must exploit environmental regularities to make adaptive decisions, yet the learning algorithms that enabels this flexibility remain unclear. A central question across neuroscience, cognitive science, and machine learning, is whether learning relies on generative or discriminative strategies. Generative learners build internal models the sensory world itself, capturing its statistical structure; discriminative learners map stimuli directly onto choices, ignoring input statistics. These strategies rely on fundamentally different internal representations and entail distinct computational trade-offs: generative learning supports flexible generalisation and transfer, whereas discriminative learning is efficient but task-specific. We compared humans, rats, and mice performing the same auditory categorisation task, where category boundaries and rewards were fixed but sensory statistics varied. All species adapted their behaviour near-optimally, consistent with a normative observer constrained by sensory and decision noise. Yet their underlying algorithms diverged: humans predominantly relied on generative representations, mice on discriminative boundary-tracking, and rats spanned both regimes. Crucially, end-point performance concealed these differences, only learning trajectories and trial-to-trial updates revealed the divergence. These results show that similar near-optimal behaviour can mask fundamentally different internal representations, establishing a comparative framework for uncovering the hidden strategies that support statistical learning. ### Competing Interest Statement The authors have declared no competing interest. Wellcome Trust, https://ror.org/029chgv08, 219880/Z/19/Z, 225438/Z/22/Z, 219627/Z/19/Z Gatsby Charitable Foundation, GAT3755 UK Research and Innovation, https://ror.org/001aqnf71, EP/Z000599/1
paperπ¨
When we learn a category, do we learn the structure of the world, or just where to draw the line? In a cross-species study, we show that humans, rats & mice adapt optimally to changing sensory statistics, yet rely on fundamentally different learning algorithms.
www.biorxiv.org/content/10.1...
17.11.2025 19:18 β π 73 π 18 π¬ 1 π 1
Good morning #SfN25! Looking for some posters to see this afternoon? Check out two by our lab: GG15 and HH1 π§ π§ͺπ©π»βπ¬
16.11.2025 17:26 β π 10 π 3 π¬ 0 π 0
Chand lab is at SfN! (And Iβm looking for postdocs on cells types and dynamics; reach out if you want to chat!)
15.11.2025 15:39 β π 5 π 3 π¬ 0 π 0
The best (and only) uni merch I have ever purchased in my life π¦΄
14.11.2025 21:56 β π 1 π 0 π¬ 0 π 0
A sad day for Neuroscience in the Netherlands.
30.10.2025 23:56 β π 15 π 5 π¬ 0 π 0
CATS Lab
Child & Adolescent Translational Science Lab at Northwestern University
I'm recruiting PhD students for my lab at Northwestern! I'm reviewing applications for the Department of Psychology for the Cognitive Affective Neuroscience and Clinical areas, due 12/1. π§
Come join the CATS Lab: nucatslab.com
Learn about our latest research: iamh.northwestern.edu/research/res...
29.10.2025 18:39 β π 55 π 44 π¬ 2 π 1
Current trends in European Research funding... π΅βπ« erc.europa.eu/news-events/...
23.10.2025 13:24 β π 12 π 4 π¬ 0 π 1
What a wonderful study :)
10.10.2025 21:18 β π 1 π 0 π¬ 0 π 0
π¨ATTN: Prospective Psych & Neuro doctoral students π¨
Sign-up for the @BostonCollege Pre-Doctoral Mentorship Program (PDMP) for one-on-one mentorship to psychology & neuroscience doctoral programs. Sign-up ASAP, deadline 11/15. See the link in the flyer.
18.09.2025 19:45 β π 5 π 2 π¬ 0 π 0
This rule would have meant I couldn't do my Ph.D. in America.
I did do it in America. Became a professor. 12 thriving U.S. labs are now headed by trainees from my research lab. Like me, they are all working hard to enrich American knowledge and society.
With this self-harming rule, none of that.
29.08.2025 23:48 β π 457 π 134 π¬ 13 π 2
Congratulations to all ERC @erc.europa.eu #STG winners @tum.de and around Europe! πππ»π§ͺ Canβt wait to hear about the exciting science you will all be doing!
04.09.2025 11:53 β π 7 π 1 π¬ 0 π 0
found this old intergenerational notebook while I was packing at home. probably from covid times. eventually one of us is becoming a scientist π©π½βπ¬ and the other one is already a banker π©π½βπ». #womeninSTEM #womeninfinance
02.09.2025 10:05 β π 5 π 0 π¬ 0 π 0
[Aly Lab Logo: schematic of brain in shades of blue with two cut-out seahorses facing each other]. Postdoctoral Position in the Aly Lab at UC Berkeley. We are recruiting a postdoctoral scholar to work on NSF-funded research examining competition and cooperation in memory-guided attention. The position will be supervised by Dr. Mariam Aly (https://www.alylab.org/) in the Department of Psychology at UC Berkeley. Candidates should have a PhD in Psychology, Neuroscience, Cognitive Science, or a related field, and expertise in studies of behavior as well as neuroimaging and/or eye tracking. This is a two-year position with a flexible start date. More details here: https://tinyurl.com/alylabpostdoc
I can't quite believe it β I got a new NSF grant! π²π€―
I'm incredibly grateful to the program officers & reviewers for their dedication and efforts to keep science going πππΌ
So, I'll be hiring! Looking for a postdoc to study competition in memory-guided attention. See flyer for details! π
22.08.2025 18:04 β π 320 π 52 π¬ 16 π 0
Support a student to attend #ISNeurotech25
We are looking to support ten more students to attend the Ibn Sina Neurotech school to learn all about fMRI and brain science
www.zeffy.com/en-CA/donati...
18.08.2025 14:44 β π 4 π 3 π¬ 0 π 1
that time of the year when this is how your email finds me π‘π
18.08.2025 22:07 β π 2 π 0 π¬ 0 π 0
presented my first data blitz on our MDMA-assisted therapy work at the first new england addiction neuroscience (NEAN) research conference, hosted at brown. thanks to the organizers for the opportunity! @karlakaun.bsky.social
15.08.2025 21:48 β π 10 π 2 π¬ 0 π 0
The rumors are true! #CCN2026 will be held at NYU. @toddgureckis.bsky.social and I will be executive-chairing. Get in touch if you want to be involved!
15.08.2025 16:43 β π 172 π 30 π¬ 4 π 6
For Some Patients, the βInner Voiceβ May Soon Be Audible
Incredible work on brain-computer interface technology that can decode "imagined" inner speech. The research team, led by Stanford University, includes Carney-affiliated Professor of Engineering Leigh Hochberg and Brown alumni David Brandman PhDβ18, MD, and Sergey Stavisky β08 of UC Davis.
14.08.2025 18:33 β π 2 π 1 π¬ 0 π 1
Did you know that your neighbors influence your political party?
New in The Journal of Politics: Panel data on 41M voters show that people are more likely to switch political parties to match their neighbors.
09.08.2025 13:37 β π 67 π 21 π¬ 3 π 4
Congratulations to the newly minted Dr. Hannah Doyle!!! Her defense was awesome and yes, that is a championship belt that the lab made for her (sheβs also a kick a** boxer) πͺπ₯π§ π©π»βπ¬π§ͺπππ₯³ #neuroscience #WomenInSTEM
08.08.2025 20:52 β π 19 π 1 π¬ 0 π 0
Dr. Emily Jacobs β Stories of WiN
studies how hormonal fluctuations influence the brain
Our latest profile just dropped! Dr. Emily Jacobs (βͺ@emilyjacobs.bsky.socialβ¬) studies how hormonal fluctuations influence the brain. Follow the link below to listen to the full interview!
www.storiesofwin.org/profiles/202...
#WomenInNeuroscience #StoriesOfWiN
06.08.2025 16:23 β π 27 π 10 π¬ 0 π 3
What do representations tell us about a system? Image of a mouse with a scope showing a vector of activity patterns, and a neural network with a vector of unit activity patterns
Common analyses of neural representations: Encoding models (relating activity to task features) drawing of an arrow from a trace saying [on_____on____] to a neuron and spike train. Comparing models via neural predictivity: comparing two neural networks by their R^2 to mouse brain activity. RSA: assessing brain-brain or model-brain correspondence using representational dissimilarity matrices
In neuroscience, we often try to understand systems by analyzing their representations β using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:
05.08.2025 14:36 β π 167 π 53 π¬ 5 π 0
ikinize de cok tebrikler π«
03.08.2025 17:58 β π 1 π 0 π¬ 0 π 0
Very happy to see this work with Euan Prentis posted! If youβre going to CCN next week, go check out Euanβs poster on this work!
31.07.2025 21:03 β π 10 π 5 π¬ 1 π 0
congrats to you both!
31.07.2025 22:33 β π 1 π 0 π¬ 0 π 0
NYU Application Support Group Matching Form
Dear Prospective Neuroscience & Psychology PhD Students,
We are a group of current NYU Neuroscience & Psychology PhD students who would like to help you with your PhD applications. We want to support...
Thinking of applying to US-based Ph.D. programs in neuroscience, psychology, or cognitive science? Weβve got your back! NYUβs Application Support Group is a student-led, free mentorship program offering 1-on-1 support and guidance. Apply now! docs.google.com/forms/d/e/1F...
28.07.2025 15:15 β π 14 π 16 π¬ 0 π 0
Postdoc in comp neuro @BrownU, interested in biophysical modeling, deep learning, and open-source software development
neuroscientist and medical neurotechnologist interested in M/EEG, clinical translation, and consciousness science
Postdoc @ Princeton AI Lab
Natural and Artificial Minds
Prev: PhD @ Brown, MIT FutureTech
Website: https://annatsv.github.io/
Explore groundbreaking news and research from PNAS, one of the world's most-cited scientific journals. Discover its sibling journal, @pnasnexus.org, both official journals of the National Academy of Sciences. Visit www.pnas.org for more info.
Assistant Professor at WUSTL. PI of the Control and Decision Making Lab.
Professor at KU Leuven | Cognitive (neuro)science | Cognitive control, cognitive aging, insight problem solving, metacognition, agency, citizen science, EEG | Chair of the Psychonomic Society | Lab: https://ppw.kuleuven.be/cogtex | Aspiring runner
math postdoc at Brown. i like neuroscience, network dynamics and topology π
Postdoc in Uchida Lab, Harvard (dopamine, learning, circuit computation) | PhD in Giocomo lab, Stanford (grid cells, path integration, navigation) | NIH NIDA K99/R00 | Bridging theory and biology of animal learning and decision making
Professor of Biomedical Engineering and Neuroscience. Neural basis of cognition, cognitive development, deep brain stimulation.
https://lab.vanderbilt.edu/constantinidis-lab/home/
INSERM group leader @ Neuromodulation Institute and NeuroSpin (Paris) in computational neuroscience.
How and why are computations enabling cognition distributed across the brain?
Expect neuroscience and ML content.
jbarbosa.org
The Department of Imaging Neuroscience, home of the Functional Imaging Laboratory (The FIL), is part of the Institute of Neurology, UCL
comp neuro postdoc the Carney Insitute for Brain Science, Brown University | HNN developer | passionate about oscillatory dynamics and their role in neuronal computation π§
https://sites.brown.edu/stephanie-r-jones-lab/
Researcher interested in the neurobiology of learned &innate behaviors;
main expertise: in vivo ephys, optogenetics & behavior
https://scholar.google.com/citations?user=JBYjngsAAAAJ&hl=hu
https://koki.hun-ren.hu/researchgroups/subcortical-modulation
Computational neuroscientist bringing machine and neural learning closer together @ox.ac.uk @oxforddpag.bsky.social π΅πΉπͺπΊπ¬π§π³
neuralml.github.io
We are a global leader in research and education into the mind and brain.
www.ucl.ac.uk/brain-sciences
Associate Prof at UW. Neural interfaces, motor learning, engineering learning.
Believe it or not, my last name has two R's and zero E's.
She/her
Professor of Neuroscience @UMN Medical School | Neurobiology of Reinforcement Learning #BlackinSTEM #NeuroscienceinAfrica
HamidLab.org
Postdoc at Helmholtz Munich (Schulz lab) and MPI for Biological Cybernetics (Dayan lab) || Ph.D. from EPFL (Gerstner lab) || Working on computational models of learning and decision-making in the brain; https://sites.google.com/view/modirsha
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
studying cognitive dynamics and how the brain computes | postdoc-ing at WashU CTCN
https://hyssong.github.io/