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MANUEL MOLANO-MAZÓN

I am a neuroscientist with a background in Mathematics, currently working at the Universitat Politècnica de Catalunya in Barcelona. My research focuses on using Recurrent Neural Networks to explore the computational principles underlying decision-making processes.

My latest work, in colaboration with Yuxiu Shao, Robert Yang, Srdjan Ostojic and Jaime de la Rocha, (Molano-Mazón et al. 2023 Current Biology, preprint) shows that by pre-training RNNs on ecologically relevant environments it is possible to recover a suboptimal behavior observed in rats performing a two-alternative forced choice task that presents serial correlations.

 

I have recently written an opinion piece together with Dr. Robert Yang (Yang and Molano-Mazón 2021 Current Opinion in Neurobiology,  preprint).

 

You can find the links to the papers below! Thanks for visiting!

LINKS!

BRAINS THROUGH TIME READING CLUB

EVOLVING NEURAL NETWORKS WORKSHOP

 Software

SYSTEMS NEURO THROUGH THE LENS OF EVOLUTION WORKSHOP

THE GRAY MATTERS BLOG

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