1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hierarchical Active Inference using Successor Representations
Prashant Rangarajan, Rajesh P. N. Rao
Active inference, a neurally-inspired model for inferring actions based on the free energy principle (FEP), has been proposed as a unifying framework for understanding perception,…
Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning
Alexander Ororbia, Karl Friston, Rajesh P. N. Rao
Self-supervised learning has become an important paradigm in the domains of machine intelligence and computational neuroscience. Nevertheless, current work on self-supervised learn…
Predictive Coding with Spiking Neural Networks: a Survey
Antony W. N'dri, William Gebhardt, Céline Teulière +4
In this article, we review a class of neuro-mimetic computational models that we place under the label of spiking predictive coding. Specifically, we review the general framework o…