activity
20242026
collaborators

7 papers

cs.AI2026

Neural networks are more modular than single neurons suggest

Shreya Saha, Benjamin Bergen, Meenakshi Khosla

Neural networks routinely develop representations in which individual neurons contribute to multiple distinct functions, leading to the widespread view that such networks lack modu…

cs.LG2026

Barycentric alignment for instance-level comparison of neural representations

Shreya Saha, Zoe Wanying He, Meenakshi Khosla

Comparing representations across neural networks is challenging because representations admit symmetries, such as arbitrary reordering of units or rotations of activation space, th…

q-bio.NC2025

Integrated representational signatures strengthen specificity in brains and models

Jialin Wu, Shreya Saha, Yiqing Bo +1

The extent to which different neural or artificial neural networks (models) rely on equivalent representations to support similar tasks remains a central question in neuroscience a…

cs.CL2025

Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness

Shreya Saha, Shurui Li, Greta Tuckute +5

The human language system represents both linguistic forms and meanings, but the abstractness of the meaning representations remains debated. Here, we searched for abstract represe…

cs.CV2025

Comparing and Integrating Different Notions of Representational Correspondence in Neural Systems

Jialin Wu, Shreya Saha, Yiqing Bo +1

The extent to which different biological and artificial neural systems rely on equivalent internal representations to support similar tasks remains a central question in neuroscien…

cs.LG2025

Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families

Jialin Wu, Shreya Saha, Yiqing Bo +1

Representational similarity metrics are fundamental tools in neuroscience and AI, yet we lack systematic comparisons of their discriminative power across model families. We introdu…

cs.NE2024

Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms

Shreya Saha, Ishaan Chadha, Meenakshi Khosla

Over the past decade, predictive modeling of neural responses in the primate visual system has advanced significantly, largely driven by various DNN approaches. These include model…