Susan Ajith
@suzibot.bsky.social
PhD with @dkaiserlab.bsky.social, @martinhebart.bsky.social | prev @iitgn
she/her
she/her
Reposted by Susan Ajith
Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine:
www.nature.com/articles/s41...
I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).
www.nature.com/articles/s41...
I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).
October 14, 2025 at 11:05 AM
Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine:
www.nature.com/articles/s41...
I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).
www.nature.com/articles/s41...
I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).
How can we characterize the contents of our internal models of the world? We highlight participant-driven approaches, from drawings to descriptions, to study how we expect scenes to look! 🤩
From line drawings to scene perception — our new review argues for moving beyond experimenter-driven manipulations toward participant-driven approaches to reveal what’s in our internal models of the visual world. 👁️✍️🛋
royalsocietypublishing.org/doi/10.1098/...
royalsocietypublishing.org/doi/10.1098/...
Characterizing internal models of the visual environment | Proceedings of the Royal Society B: Biological Sciences
Despite the complexity of real-world environments, natural vision is seamlessly efficient.
To explain this efficiency, researchers often use predictive processing frameworks,
in which perceptual effic...
royalsocietypublishing.org
October 8, 2025 at 9:27 AM
How can we characterize the contents of our internal models of the world? We highlight participant-driven approaches, from drawings to descriptions, to study how we expect scenes to look! 🤩
Go Lu! 💃💜
Honored and thrilled to receive the GGN Early Career Award @jlugiessen.bsky.social 🏆 Huge thanks to my awesome supervisors Daniel @dkaiserlab.bsky.social & Marius @peelen.bsky.social , all my collaborators, and the amazing colleagues from both labs — couldn’t have done it without you! 💗
June 26, 2025 at 4:23 PM
Go Lu! 💃💜
Reposted by Susan Ajith
How is high-level visual cortex organized?
In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
🧵 1/n
In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
🧵 1/n
www.biorxiv.org
June 18, 2025 at 12:28 PM
How is high-level visual cortex organized?
In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
🧵 1/n
In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
🧵 1/n
Reposted by Susan Ajith
#VSS2025 was a blast - great science, fun people, beach vibes. We‘ll be back! @vssmtg.bsky.social
May 22, 2025 at 3:37 PM
#VSS2025 was a blast - great science, fun people, beach vibes. We‘ll be back! @vssmtg.bsky.social
It's very little we understand! There's the data gap but also very little done about the known and existing gaps
Just finished Invisible Women by @ccriadoperez.bsky.social, a powerful investigation into the gender & sex data gaps that impact every level of society.
You think you're aware of the problem (at least I thought), but it's so much worse than you ever imagined.
More significant than ever.
You think you're aware of the problem (at least I thought), but it's so much worse than you ever imagined.
More significant than ever.
March 3, 2025 at 10:44 AM
It's very little we understand! There's the data gap but also very little done about the known and existing gaps