Kohitij Kar

That will be great!

Thanks, Emalie 🤗

Thanks, Katha 🤗

Provincial recognition for York U early-career researchers - YFile Professors Eric Kennedy and Kohitij Kar have been recognized with Ontario’s Early Researcher Award for impactful work that will advance wildfire predictive services and understanding how those with au...

I am thankful to the Ontario Govt for awarding me Ontario’s early researcher award (ERA).The award supports us in advancing knowledge and building a strong team of trainees to develop future research leaders in Ontario. www.yorku.ca/yfile/2025/0...

Special thanks to my awesome lab!

We are excited to share our latest research at #vss2025 @vssmtg.bsky.social and learn about all things vision! Please come to our talks and posters. Looking forward to all your feedback!

I agree. But I doubt how much one’s intuition (perception) about how their brain functions to support their intelligence or how it evolved translates into scientific facts about those same questions.

In many conversations, I felt that people often have certain preconceived (largely unvalidated) notion of how intelligence should emerge. And because certain developments in AI dont fit that template—instead of re-evaluating their initial position— they are blindly critical of current AI!

Most concepts and ideas have levels and nuances — and taking the most extreme stance seems to be in fashion now.

Yeah, if current AI systems (vision, audio, language, multimodal) are not “intelligent”, I don’t know what is! There are many intelligent (biological) species that don’t run human like processing but can solve tasks, reason, and most importantly survive.

Our lab had a great time sharing our work at the NETI Workshop at @utaustin.bsky.social. Lots of new, exciting work is going on in systems neuroscience!

Shenoy Undergraduate Research Fellowship in Neuroscience (SURFiN) Shenoy Undergraduate Research Fellowship in Neuroscience (SURFiN) on Simons Foundation

My lab is hosting undergraduates for the SURFiN program. If you want to come to @yorku-neurophys.bsky.social @yorku-cian.bsky.social in Toronto and work on a @simonsfoundation.org funded project on using brain-inspired AI for autism research please apply!
www.simonsfoundation.org/grant/shenoy...

Thank you Dr. John Reynolds from @salkinstitute.bsky.social
for a fascinating presentation.
@jdcrawford.bsky.social
@connectedminds.bsky.social
#neuroscience

If you are at @cosynemeeting.bsky.social #cosyne2025 , please check out two posters from our lab today, one by Mualla (2-62), and the other by Jean de Dieu (2-127).

Join us on March 7 for this month's seminar. @jdcrawford.bsky.social @bjorges.bsky.social @connectedminds.bsky.social @yorkuniversity.bsky.social #neuroscience

Extremely sad news! Very sorry to hear this and a great loss for vision science

(3/3) Many ANN models of untrained IT show similar changes at the level of ANN-IT (which is typically not at the very end of the ANN hierarchy) with additional category training (implemented via varied learning approaches) that also generalize to category orthogonal representational shifts.

(2/3) Untrained animals can see objects but can’t attach labels—so we don’t expect ventral stream to reformat with learning. But does it change at all, or everything happens downstream? Trained vs. untrained monkeys show minor but robust IT changes -- not a complete reformat, but meaningful tweaks.

The effects of object category training on the responses of macaque inferior temporal cortex are consistent with performance-optimizing updates within a visual hierarchy How does the primate brain coordinate plasticity to support its remarkable ability to learn object categories? To address this question, we measured the consequences of category learning on the macaqu...

(1/3) 🌟New preprint with @lynnkasorensen.bsky.social and Jim DiCarlo

When animals learn new object discrimination tasks, how much does their IT cortex change?

www.biorxiv.org/content/10.1...

This new article perfectly concludes my time & lessons in Jim’s lab.@JamesJDiCarlo and I propose +review SMART models of object recognition
✅ Sensory computable
✅ Mechanistic
✅ Anatomically Referenced
✅ Testable
Coming in Annual Reviews 2024
Preprint: bit.ly/3tk7u8D

Was at the launch yesterday at the Simons Foundation Social at #SFN2023! Very excited to see how this works and develops. Super cool idea (from my limited understanding)!