Mo Shakiba

CV • CONTACT


I’m Mo, a NeuroAI researcher.


Shakiba M, Rokni R, Mohammadi M, Dehghani N. Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks. arXiv, 2026. HTMLPDFCODE Preprint

• 34th Annual Computational Neuroscience Meeting: CNS*2025. J Comput Neurosci, 2026. HTMLPDF Article

Shakiba M, Rokni R, Mohammadi M, Dehghani N. Anatomically and Functionally Constrained Bio-Inspired Recurrent Neural Networks Outperform Traditional RNN Models. Kempner Institute Frontiers in NeuroAI Symposium, 2025. HTMLPDF Poster

Shakiba M, Rokni R, Mohammadi M. Neuro-constrained Bio-inspired Recurrent Neural Network. Zenodo, 2025. HTMLPDF Preprint

Shakiba M, Rassouli FB. Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis. Scientific Reports, 2024. HTMLPDFCODEDATA Article

• Talebian S, Shahnavaz B, Shakiba M, Rassouli FB. Illuminating new possibilities: Effects of copper oxide nanoparticles on gastrointestinal adenocarcinoma cells in hypoxic condition. Heliyon, 2024. HTMLPDF Article