Learning representations in Bayesian Confidence Propagation neural networks

27 March 2020

Papers citing "Learning representations in Bayesian Confidence Propagation neural networks"

6 / 6 papers shown

Title
Benchmarking Hebbian learning rules for associative memory A. Lansner Naresh B. Ravichandran Pawel Herman 29 4 0 30 Dec 2023
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 18 0 0 26 Oct 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition Naresh B. Ravichandran A. Lansner Pawel Herman 29 4 0 30 Jun 2022
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition Luis Sa-Couto Andreas Wichert SSL OOD 6 9 0 30 Apr 2021
Brain-like approaches to unsupervised learning of hidden representations -- a comparative study Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 14 12 0 06 May 2020
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex D. Stathis C. Sudarshan Yu Yang Matthias Jung Syed Asad Mohamad Hasan Jafri C. Weis A. Hemani A. Lansner Norbert Wehn 19 13 0 03 Nov 2019