154 citations · 187 across the 7 of their papers we have counts for
7 papers
From Local Learning to Global Prediction Through Layered Surprise Cascades
Andrew L. Smith, Linxing Preston Jiang, Jason K. Eshraghian +2
Hierarchical predictive coding proposes a compelling hypothesis of brain computation, suggesting that the cortex builds layered predictions to minimize surprise. Yet most models re…
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…
Expressive probabilistic sampling in recurrent neural networks
Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao +1
In sampling-based Bayesian models of brain function, neural activities are assumed to be samples from probability distributions that the brain uses for probabilistic computation. H…
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping
Matthew J. Bryan, Linxing Preston Jiang, Rajesh P N Rao
Objective: A major challenge in designing closed-loop brain-computer interfaces is finding optimal stimulation patterns as a function of ongoing neural activity for different subje…
Predictive Coding Theories of Cortical Function
Linxing Preston Jiang, Rajesh P. N. Rao
Predictive coding is a unifying framework for understanding perception, action and neocortical organization. In predictive coding, different areas of the neocortex implement a hier…
Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
Linxing Preston Jiang, Luciano de la Iglesia
Learning a generative model of visual information with sparse and compositional features has been a challenge for both theoretical neuroscience and machine learning communities. Sp…
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
Linxing Preston Jiang, Andrea Stocco, Darby M. Losey +3
We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving. The interface combines electr…