Alish Dipani

@alishdipani.bsky.social

Psych PhD student & CoCo Fellow @GeorgiaTech || Comp Cog Neuro/Vision Science || Ex-MIT-BCS/Northeastern-COS/BITS-Goa || alishdipani.github.io

Finding a "face neuron" in an ANN doesn't mean it encodes faces like we do. 🧵 In my first project with @apurvaratan.bsky.social, we show that category selectivity in ANNs ≠ category selectivity in brains. Details in thread + preprint: www.biorxiv.org/content/10.6... Feedback or questions welcome!

Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks

Category selectivity for images of faces, scenes, and bodies is among the most striking and reproducible findings in vision neuroscience. Artificial neural networks (ANNs) trained on visual tasks also...

biorxiv.org

Apurva Ratan Murty@apurvaratan.bsky.social · 2w ago

Excited to first share @alishdipani.bsky.social 's study. Alish asked a (deceptively) simple Q: Are category-selective units in ANNs actually like category-selective regions in the brain? (why is this imp? read until the end). #neuroskyence #neuroscience #brain #neuroai

🚨 New preprint on individual differences in artificial neural networks and human behavior. We show that individual differences among ANN instances trained with different random initializations capture the individual differences in human behavior. 1/8

biorxiv.org

Glad to see my first-year project is out! In two experiments, we manipulated multiple stimulus features in a perception task, yet their effects on confidence and accuracy fell into just two distinct behavioral patterns, offering a way to predict the effects of novel stimulus manipulations. 1/n

Similarities and differences in the effects of different stimulus manipulations on accuracy and confidence

Visual stimuli can vary in multiple dimensions that affect accuracy and confidence in a perceptual decision-making task. However, previous studies hav…

sciencedirect.com

Imagine an apple 🍎. Is your mental image more like a picture or more like a thought? In a new preprint led by Morgan McCarty—our lab's wonderful RA—we develop a new approach to this old cognitive science question and find that LLMs excel at tasks thought to be solvable only via visual imagery. 🧵

Artificial Phantasia: Evidence for Propositional Reasoning-Based Mental Imagery in Large Language Models

This study offers a novel approach for benchmarking complex cognitive behavior in artificial systems. Almost universally, Large Language Models (LLMs) perform best on tasks which may be included in th...

arxiv.org

We are hiring a postdoc! We're looking for someone interested in perception, imagination & consciousness, and with experience in neuroimaging (the focus is fMRI but MEG/EEG is ok). Vision science, machine learning and philosophy nerds please apply! subjectivity.sites.northeastern.edu/research/hot...

The Subjectivity Lab

Interdisciplinary lab in Northeastern's Psychology Department researching perception, consciousness and introspection.

subjectivity.sites.northeastern.edu