FPGA-based training of bio-inspired dendritic neural networks with Hebbian-augmented learning
Palatiana N, Pantzekos L, Tsagkatakis G, Chavlis S, Poirazi P, Dollas A
techRxiv, Oct 2025 | DOI: 10.36227/techrxiv.176049736.65323729

Tags: 2025 , artificial neural networks , Dendrites , FPGA , neuroAI , Preprint

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Chavlis S, Poirazi P
Nature Communications, Jan 2025 | DOI: 10.1038/s41467-025-56297-9
arXiv, Apr 2024 | URL: arXiv:2404.03708

Tags: 2025 , artificial neural networks , Dendrites , Machine Learning , neuroAI

Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Pagkalos M, Makarov R, Poirazi P
Current Opinion in Neurobiology, Apr 2024 | DOI:  10.1016/j.conb.2024.102853
arXiv, Jun 2023 | URL: arXiv:2306.08007

Tags: 2024 , Dendrites , neuroAI , Review , SNNs

Drawing inspiration from biological dendrites to empower artificial neural networks
Chavlis S, Poirazi P
Current Opinion in Neurobiology, Oct 2021 | DOI: 10.1016/j.conb.2021.04.007 | Zenodo (Open-Access)
arXiv, Jun 2021 | URL: arXiv:2106.07490

Tags: 2021 , Dendritic Computations , Machine Learning , neuroAI , Perspective