Pedestrian simulation as multi-objective reinforcement learning. - Naresh Balaji Ravichandran; Fangkai Yang; Christopher Peters 001; Anders Lansner; Pawel Andrzej Herman (IVA, 2018)

Learning representations in Bayesian Confidence Propagation neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (IJCNN, 2020)

Semi-supervised learning with Bayesian Confidence Propagation Neural Network. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 2021)

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. - Artur Podobas; Martin Svedin; Steven Wei Der Chien; Ivy Bo Peng; Naresh Balaji Ravichandran; Pawel Andrzej Herman; Anders Lansner; Stefano Markidis (HEART, 2021)

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ICANN (5), 2021)

Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (LOD (2), 2022)

Spiking neural networks with Hebbian plasticity for unsupervised representation learning. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 2023)

Benchmarking Hebbian learning rules for associative memory. - Anders Lansner; Naresh Balaji Ravichandran; Pawel Andrzej Herman (CoRR, 2024)

Spiking representation learning for associative memories. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (CoRR, 2024)

A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (ARC, 2025)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (Neurocomputing, 2025)

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (CoRR, 2025)