2 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.NC2026
Neural Manifolds as Crystallized Embeddings: A Synthesis of the Free Energy Principle, Generalized Synchronization, and Hebbian Plasticity
Vikas N. O'Reilly-Shah
The free energy principle casts perception as variational inference, but its biological implementation is underspecified. The generalized-coordinate formalism is not a literal clai…
q-bio.NC2026★ 1 cited
Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation
Vikas N. O'Reilly-Shah, Alessandro Maria Selvitella
Neural population activity in sensory cortex is organized on low-dimensional manifolds, but why such manifolds arise and what determines their geometry remain unclear. We model cor…
cs.AI2024★ 2 cited
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
Philip Chung, Christine T Fong, Andrew M Walters +3
We investigate whether general-domain large language models such as GPT-4 Turbo can perform risk stratification and predict post-operative outcome measures using a description of t…