research
∙
05/05/2023
Spiking neural networks with Hebbian plasticity for unsupervised representation learning
We introduce a novel spiking neural network model for learning distribut...
share
research
∙
04/13/2023
Hebbian fast plasticity and working memory
Theories and models of working memory (WM) were at least since the mid-1...
research
∙
06/30/2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Associative memory has been a prominent candidate for the computation pe...
research
∙
06/29/2021
Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Learning internal representations from data using no or few labels is us...
research
∙
06/09/2021
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
The modern deep learning method based on backpropagation has surged in p...
research
∙
05/06/2020
Brain-like approaches to unsupervised learning of hidden representations – a comparative study
Unsupervised learning of hidden representations has been one of the most...
research
∙
03/27/2020
Learning representations in Bayesian Confidence Propagation neural networks
Unsupervised learning of hierarchical representations has been one of th...
research
∙
11/03/2019
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex
The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not biol...
research
∙
04/29/2014
