Susan Ajith
@suzibot.bsky.social
🌱 PhD with @dkaiserlab.bsky.social | studying high-level vision and individual priors | prev IIT-GN, IN
It's #VSS2026 time! We're super excited to be back and presenting some exciting, ongoing projects in the lab. Come by and say hi! 🤗
Are you attending #VSS2026? Come check out my talk on cross-species alignment for finding shared and distinct representational geometries in primate IT. Saturday, May 16, 2026, 3.30pm, Talk Room 1
Come to my talk for some fun experiments combining drawings, DNNs and visual search! 👀🧠⛱️
Kaiser Lab is at @vssmtg.bsky.social with 6 posters and 3 talks! 👁️🏖️☀️ Come check out our works!
What do we look for when searching for objects in our daily-life environments? Very happy that I can now share this review, together with @suryagayet.bsky.social , @predictivebrain.bsky.social and @peelen.bsky.social🥳 A brief thread below!
Online Now: Attention in the wild: balancing flexibility and stability
How segregated vs. integrated are face and body representations in human visual cortex? In this new preprint with @kathadobs.bsky.social, we use DNNs and fMRI to find out. www.biorxiv.org/content/10.6... #neuroskyence 🧵 1/n
biorxiv.org
New preprint! Why do people disagree about what looks beautiful, even when viewing the same stimulus? We show that shared aesthetic experience is linked to shared gaze during naturalistic viewing: www.biorxiv.org/content/10.6... 1/4
biorxiv.org
📢 Workshop announcement. We are super excited to announce the workshop Perceptual Inferences, from philosophy to neuroscience, organized by Alexander Schütz and Daniel Kaiser. 📍 Rauischholzhausen Castle, near Marburg, Germany 🗓️ June 8 to 10, 2026. 1/4
Check out our new preprint! 🎉 We demonstrate that real-world object search is shaped by both objects’ inherent variability and searchers’ individual priors, using a new approach that combines human drawings with DNN representational similarity analysis. ✍️🖥️👀
🧨 Preprint alert Is it easier to find a ball than a shoe? The answer lies in how variable we think these objects are in the real-world. www.biorxiv.org/content/10.6... w/ the amazing @dkaiserlab.bsky.social & @luchunyeh.bsky.social 🦄 🧵1/8
🧨 Preprint alert Is it easier to find a ball than a shoe? The answer lies in how variable we think these objects are in the real-world. www.biorxiv.org/content/10.6... w/ the amazing @dkaiserlab.bsky.social & @luchunyeh.bsky.social 🦄 🧵1/8
biorxiv.org
Now in press at Nature Communications! www.nature.com/articles/s41... Check it out if you are interested in category selectivity, the organization of visual cortex, and topographic models!
Investigating action topography in visual cortex and deep artificial neural networks - Nature Communications
This study shows that interaction with objects is an important dimension that shapes the way object categories such as hands and tools are organized in visual cortex and shows that artificial neural n...
nature.com
New preprint out! We propose that action is a key dimension shaping the topographic organization of object categories in lateral occipitotemporal cortex (LOTC)—and test whether standard and topographic neural networks capture this pattern. A thread: www.biorxiv.org/content/10.1... 🧵 1/n
🚨 New preprints out!🚨 Excited to share two new preprints from my #MSCA project. With Daniel @dkaiserlab.bsky.social , Marius @peelen.bsky.social , and Belma Seferovic, we show how contextual associations shape real-world object representations and guide everyday visual task performance. 👇👇👇 1/n
I’m excited to share the first preprint from my PhD project! Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes. Preprint: osf.io/preprints/ps... 1/n
New Correspondence with @davidpoeppel.bsky.social in Nat Rev Neurosci. www.nature.com/articles/s41... Here, we critique a recent paper by Rosas et al. We argue that "Bottom-up" and "Top-down" neuroscience have various meanings in the literature. PDF: rdcu.be/eSKYI
Top-down and bottom-up neuroscience as collections of practices - Nature Reviews Neuroscience
Nature Reviews Neuroscience - Top-down and bottom-up neuroscience as collections of practices
nature.com
Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that! tinyurl.com/deepretinotopy
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).
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/...
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! 💗
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
biorxiv.org
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.