Mo Shakiba

I investigate how principles of neural computation can inform the design of more capable and efficient artificial systems.

✦ Shakiba M, Rokni R, Mohammadi M, Dehghani N. Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks. arXiv [cs.NE], 2026. _{HTML · PDF · CODE · BLOG} _{‒ CITATIONS: 2} ‒ Preprint

Shakiba M, Rokni R, Mohammadi M, Dehghani N. Anatomically and Functionally Constrained Bio-Inspired Recurrent Neural Networks Outperform Traditional RNN Models. Journal of Computational Neuroscience, 2026. _{HTML · PDF · POSTER · BLOG} ‒ Abstract

Shakiba M, Rassouli FB. Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis. Scientific Reports, 2024. _{HTML · PDF · CODE · DATA} _{‒ CITATIONS: 14} ‒ 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} _{‒ CITATIONS: 6} ‒ Article

I’m Mo, a NeuroAI researcher.