Marino Pagan.

Marino Pagan

Principal investigator
Simons Initiative for the Developing Brain and the Center for Discovery Brain Sciences, University of Edinburgh

Marino Pagan is a principal investigator at the Simons Initiative for the Developing Brain and the Center for Discovery Brain Sciences at the University of Edinburgh. Using a combination of experimental and computational approaches, Marino aims to investigate the mechanisms linking neural-circuit abnormalities to cognitive dysfunction in genetic rat models of autism.

He received his B.S. in computer engineering and his M.S. in control engineering from Scuola Superiore Sant’Anna and the University of Pisa. He completed his Ph.D. in neuroscience at the University of Pennsylvania in the laboratory of Nicole Rust, where he studied the neural circuits of visual object search in macaque monkeys, using electrophysiology and computational modelling. His postdoctoral research with Carlos Brody at Princeton University focused on the neural mechanisms underlying cognitive flexibility. To approach this problem, Pagan trained rats to perform complex rule-switching tasks, traditionally studied in primates. This enabled the use of the powerful techniques available in rodents to record and perturb neural activity during behavior.

Explore more from The Transmitter

Grace Hwang and Joe Monaco discuss the future of NeuroAI

Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.

By Paul Middlebrooks
4 December 2024 | 97 min listen

Hessameddin Akhlaghpour outlines how RNA may implement universal computation

Could the brain’s computational abilities extend beyond neural networks to molecular mechanisms? Akhlaghpour describes how natural universal computation may have evolved via RNA mechanisms.

By Paul Middlebrooks
26 November 2024 | 107 min listen
Illustration of a person holding a box that is emitting laser-like beams and projecting a large curved black surface.

Imagining the ultimate systems neuroscience paper

A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.

By Mark Humphries
2 December 2024 | 8 min read