Search Results for author: Nick Alonso

Found 4 papers, 3 papers with code

A Sparse Quantized Hopfield Network for Online-Continual Memory

no code implementations27 Jul 2023 Nick Alonso, Jeff Krichmar

An important difference between brains and deep neural networks is the way they learn.

Understanding and Improving Optimization in Predictive Coding Networks

1 code implementation23 May 2023 Nick Alonso, Jeff Krichmar, Emre Neftci

Backpropagation (BP), the standard learning algorithm for artificial neural networks, is often considered biologically implausible.

A Theoretical Framework for Inference Learning

1 code implementation1 Jun 2022 Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci

Our novel implementation considerably improves the stability of IL across learning rates, which is consistent with our theory, as a key property of implicit SGD is its stability.

Tightening the Biological Constraints on Gradient-Based Predictive Coding

1 code implementation30 Apr 2021 Nick Alonso, Emre Neftci

This finding suggests that this gradient-based PC model may be useful for understanding how the brain solves the credit assignment problem.

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