Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
@bashivan.bsky.social
๐ค 195
๐ฅ 111
๐ 30
Husband, dad, computational neuroscientist,
@mcgillu.bsky.social
and Mila
reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Brokoslaw Laschowski
19 days ago
Come join us at University of Toronto. We're hiring a Professor of computational cognitive neuroscience.
#neuroAI
#compneuro
jobs.utoronto.ca/job/Toronto-...
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Professor - Computational Cognitive Neuroscience
Professor - Computational Cognitive Neuroscience
https://jobs.utoronto.ca/job/Toronto-Professor-Computational-Cognitive-Neuroscience-ON/595247717/
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Sam Gershman
about 1 month ago
If you work on artificial or natural intelligence and are finishing your PhD, consider applying for a Kempner research fellowship at Harvard:
kempnerinstitute.harvard.edu/kempner-inst...
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Kempner Research Fellowship - Kempner Institute
The Kempner brings leading, early-stage postdoctoral scientists to Harvard to work on projects that advance the fundamental understanding of intelligence.
https://kempnerinstitute.harvard.edu/kempner-institute-research-fellowship/
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Taylor Webb
about 1 month ago
New position paper! We argue that symbolic and neural network models are not in opposition to each other, but occupy different levels of analysis, and also outline a new research agenda for better understanding the relationship between them. Please check out the paper / thread for more details!
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Weโll be at CCN next week with two posters, one contributed talk and one satellite talk! If you are interested in neural coding in primate hippocampus, modeling visual search, or cortical topography come and talk to us! See๐for details:
about 2 months ago
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Went over the Centaur paper in lab meeting today. I got stuck on this plot, thinking initially the small difference between Llama and Centaur is bothering me. But the real issue hit me an hour later... Each layer's neural similarity is with the **whole** brain! No single layer is expected to sim ๐ง
2 months ago
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Grant reviewer on my proposal for using DNNs to model working memory: โThe ability to yield new information is very limited because WM circuits have already been abundantly specified in clinical and preclinical studies.โ So, itโs entirely solved now, eh? How long did I sleep last night?
3 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Shahab Bakhtiari
3 months ago
Huge congratulations to
@silicolabs.bsky.social
on this achievement. Excited about this collaboration on visuomotor learning in VR. We also have some funding available for graduate students interested in doing research in this area. Reach out if you're interested. ๐ง ๐ ๐ง ๐ค
#VisionScience
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Self supervised learning of spatial representations from episodic memories. Led by undergraduate student in my lab. Very proud!
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3 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Hannes Mehrer @CCN2025
4 months ago
Announcement: Workshop at
#CCN2025
๐ง Modeling the Physical Brain: Spatial Organization & Biophysical Constraints ๐๏ธ Monday, Aug 11 | ๐ฆ 11:30โ18:00 CET | ๐ Room A2.07 ๐ Register:
tinyurl.com/CCN-physical...
#NeuroAI
@cogcompneuro.bsky.social
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Home
https://tinyurl.com/CCN-physical-brain
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If you are at
#ICLR2025
and interested in topographic neural networks, come by
@amirozhan.bsky.social
's poster. See the info below!
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5 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Blake Richards
5 months ago
A point of pride for me was publishing a paper with a meme as a graphical abstract in a journal that dates back to 1878:
physoc.onlinelibrary.wiley.com/doi/full/10....
This is apparently a
#TopViewedArticle
, so the achievement got the recognition it deserves! ๐ CC
@kordinglab.bsky.social
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The study of plasticity has always been about gradients
Abstract figure legend This figure illustrates our central point in this paper using a well-known meme. That central point is that the physiological study of synaptic plasticity and learning has alwa...
https://physoc.onlinelibrary.wiley.com/doi/full/10.1113/JP282747
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Save the CBC ๐จ๐ฆโ๏ธ
6 months ago
Donโt let Poilievre crush your CBC crush! From Paul Gross to Peter Mansbridge, Catherine OโHara to the LevysโCBC has brought us icons weโve loved for decades. Lose CBC, lose the crushes.
#SaveTheCBC
#CBCrushed
#OurVoiceOurCBC
#CdnPoli
#PublicBroadcasting
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
University of Toronto
6 months ago
Renowned neuroscientist Melanie Woodin has been named
#UofTโs
17th president โ and asks the community to join in her in โdreaming big.โ
#UofT
alumna Woodin starts her five-year term July 1st. โก๏ธ
uoft.me/uoftpres17
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At
#COSYNE2025
? Come by Motahareh's poster at 1pm [2-089] if you like to know about how cool her NN model of visual search is! Trained de novo on visual search, its fast, efficient, mimics human behaviour, and has a beautiful neural geometry.
6 months ago
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Check out our new paper on making deep networks topographical with a new variant of SOMs! Very proud of
@amirozhan.bsky.social
who did this work as an undergrad!
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7 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
7 months ago
Recruiting phd/postdocs to mentor Undergrad Awardees!! This program brings UGs from across the ๐ considering a career in neuro research Duties: meet students on 1st day, take them to a poster session, help them feel welcome. Apply: (very short!) form
forms.gle/9hCniCA29ky5...
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Cosyne 2025 undergraduate mentor applications
The Cosyne Undergraduate Travel Grant, is a program that brings ~12 undergraduates from across the world to Cosyne. As part of the program, we aim to pair the students with a โconference mentorโ, a P...
https://forms.gle/9hCniCA29ky59x2V7
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Nancy Kanwisher
8 months ago
If you are a neuroscientist, please use SFN's site to write to your reps about the importance of funding for science (they have letters ready to go, you can just use theirs or write/edit as you see fit):
www.sfn.org/advocacy/adv...
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Available Actions
https://www.sfn.org/advocacy/advocacy-network/advocacy-action-center/available-actions#/
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Healthy Brains, Healthy Lives
9 months ago
๐ Sign up for the Neurogenesis Speaker Series! Join us on Feb 5 at
@theneuro.bsky.social
for talks featuring two HBHL-supported faculty,
@paulmasset.bsky.social
&
@bashivan.bsky.social
, as they share their groundbreaking research in brain health at
@mcgill.ca
. ๐๏ธ ๐ Register today:
mcgill.ca/x/wHe
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Surya Ganguli
9 months ago
Our new paper "Fooling LLM graders into giving better grades through neural activity guided adversarial prompting" lead expertly by Atsushi Yamamura shows how even in closed models like Gemini, we can add a small adversarial suffix to an essay to get unreasonably high scores
arxiv.org/abs/2412.15275
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Fooling LLM graders into giving better grades through neural activity guided adversarial prompting
The deployment of artificial intelligence (AI) in critical decision-making and evaluation processes raises concerns about inherent biases that malicious actors could exploit to distort decision outcom...
https://arxiv.org/abs/2412.15275
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Oded Rechavi
9 months ago
Stonehenge Reports
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If youโre at NeurIPS, Check out
@xiaoxuanlei.bsky.social
poster on representational geometry in RNN models of working memory!
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10 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Patrick Mineault
10 months ago
Excited to release what weโve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Taku Ito
10 months ago
Our new NeurIPS paper on naturalistic representations in dynamic WM models, led by
@xiaoxuanlei.bsky.social
and
@bashivan.bsky.social
Thread by Xiaoxuan ๐
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My first post on BlueSky! Check out the work led by my graduate student
@xiaoxuanlei.bsky.social
on how RNN models encode and maintain high dimensional visual observations to solve memory-based tasks.
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10 months ago
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Blake Richards
11 months ago
His answer (roughly): "When Terry and I invented the Boltzmann machine, we were sure it was how the brain works, and we would eventually win the Nobel for physiology. But, we were wrong. Luckily, it turns out that if your model of the brain is wrong you just win a Nobel for physics instead."
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reposted by
Pouya Bashivan ๐ฎ๐ท๐จ๐ฆ
Paul Masset
11 months ago
I am recruiting graduate students for my lab
@mcgillu.bsky.social
for admission in Fall 2025! Get in touch if you're interested in how brain circuits implement distributed computation, including dopamine-based distributed RL and probabilistic representations.
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