Mo Shakiba

CV / NEWS


I’m Mo, a NeuroAI researcher.


Shakiba M, Rokni R, Mohammadi M, Dehghani N. Neuronal Constraints Drive Superior Learning in Recurrent Neural Networks. arXiv, 2026. HTML / PDF / CODE Preprint

• 34th Annual Computational Neuroscience Meeting: CNS*2025. J Comput Neurosci, 2026. HTML / PDF 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. HTML / PDF Poster

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

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