302 citations · 417 across the 24 of their papers we have counts for
4 papers · 1 filter
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
Ankur Mali, Tommaso Salvatori, Alexander Ororbia
Energy-based learning algorithms, such as predictive coding (PC), have garnered significant attention in the machine learning community due to their theoretical properties, such as…
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn +9
In this work, we tackle the problems of efficiency and scalability for predictive coding networks (PCNs) in machine learning. To do so, we propose a library, called PCX, that focus…
A Review of Neuroscience-Inspired Machine Learning
Alexander Ororbia, Ankur Mali, Adam Kohan +2
One major criticism of deep learning centers around the biological implausibility of the credit assignment schema used for learning -- backpropagation of errors. This implausibilit…
Associative Memories in the Feature Space
Tommaso Salvatori, Beren Millidge, Yuhang Song +2
An autoassociative memory model is a function that, given a set of data points, takes as input an arbitrary vector and outputs the most similar data point from the memorized set. H…