Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Chavlis S, Poirazi P
arXiv, Apr 2024 | URL: arXiv:2404.03708

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
Malakasis N, Chavlis S, Poirazi P
bioRχiv, May 2023 | DOI: 10.1101/2023.05.22.541722

Co-allocation to overlapping dendritic branches in the retrosplenial cortex integrates contextual memories across time
Sehgal M, Filho D A, Martin S, Mejia D I, Kastellakis G, Kim S, Lee J, Pekcan A, Huang S, Lavi A, Heo W D, Poirazi P, Trachtenberg J, Silva AJ
bioRχiv, Nov 2021 | DOI: doi.org/10.1101/2021.10.28.466343

Dendritic Self-Organizing Maps for Continual Learning
Pinitas K, Chavlis S, Poirazi P
arXiv, Oct 2021 | URL: arXiv:2110.13611

Structured connectivity exploits NMDA non-linearities to enable flexible encoding of multiple memoranda in a PFC circuit model
Stefanou SS, Papoutsi A, Poirazi P
bioRχiv, Aug 2019 | DOI: 10.1101/733519