23 citations · 23 across the 3 of their papers we have counts for
3 papers
Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI
Rajesh P. N. Rao, Vishwas Sathish, Linxing Preston Jiang +2
The phenomenal advances in large language models (LLMs) and other foundation models over the past few years have been based on optimizing large-scale transformer models on the surp…
PainDECOG: Machine Learning-Based Identification of Pain Biomarkers from sEEG Signals
Sidharth Sidharth, Vishwas Sathish, Shweta Bansal +5
This study presents a systematic machine-learning approach for classifying acute pain from raw electrophysiological signals. We address binary and ternary classification tasks, lev…
Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning
Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
Predictive coding has emerged as a prominent model of how the brain learns through predictions, anticipating the importance accorded to predictive learning in recent AI architectur…