Jenelle Feather

@jfeather.bsky.social

Assistant Professor in Neuroscience and Psychology at #CarnegieMellon. I study how humans and computers hear and see.

Join us at #NeurIPS2025 for our Data on the Brain & Mind workshop! We aim to connect machine learning researchers and neuroscientists/cognitive scientists, with a focus on emerging datasets. More info: data-brain-mind.github.io

Data on the Brain & Mind @NeurIPS2025@dataonbrainmind.bsky.social · last yr.

🚨 Excited to announce our #NeurIPS2025 Workshop: Data on the Brain & Mind 📣 Call for: Findings (4- or 8-page) + Tutorials tracks 🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social 🌐 Learn more: data-brain-mind.github.io

Just a few months until Cognitive Computational Neuroscience comes to Amsterdam! Check out our now-complete schedule for #CCN2025, with descriptions of each of the Generative Adversarial Collaborations (GACs), Keynotes-and-Tutorials (K&Ts), Community Events, Keynote Speakers, and social activities!

CogCompNeuro@cogcompneuro.bsky.social · last yr.

A detailed schedule for CCN2025 is available on our website now, including the specific keynotes / GACs / community events taking place: 2025.ccneuro.org/schedule-of-... The early bird registration deadline is coming up this Friday (23rd May)!

I’m happy to be at #VSS2025 and share what our lab has been up to this year! I’m also honored to receive this year’s young investigator award and will give a short talk at the awards ceremony Monday

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We are presenting our work “Discriminating image representations with principal distortions” at #ICLR2025 today (4/24) at 3pm! If you are interested in comparing model representations with other models or human perception, stop by poster #63. Highlights in 🧵 openreview.net/forum?id=ugX...

Discriminating image representations with principal distortions

Image representations (artificial or biological) are often compared in terms of their global geometric structure; however, representations with similar global structure can have strikingly...

openreview.net

We're bringing together leading researchers from top institutions worldwide to Split, Croatia this summer. If you're passionate about brain-inspired AI, computational neuroscience, or fundamental mathematical principles driving intelligence, this conference is the place to be!

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Teddy's project is one of the only clear examples we know of (so far) where modifying the *objective function* used for training a deep neural network systematically improves neural prediction of IT responses. Come chat at his poster this afternoon at #cosyne2025! (Poster 2-036)

Teddy Yerxa@tedyerxa.bsky.social · last yr.

If you are at #cosyne2025 come check out my poster this afternoon! We demonstrate a case where objective function design can systematically improve neural predictivity in deep networks. [2-036] Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT

We are presenting two exciting projects tonight at #Cosyne2025! 🧠🧑‍🔬 [1-032] Changes in tuning curves, not neural population covariance, improve category separability in the primate ventral visual pathway [1-112] Comparing image representations in terms of sensitivities to local distortions