Joaquín Rapela, Ph.D.

University College London

Joaquín received his undergraduate degree in computer science and Ph.D. in signal processing from the University of Southern California. He did postdoctoral training at University of California San Diego and at Brown University. He develops and applies advanced statistical methods to understand the function of the brain. Currently, he is a research engineer fellow at the Gatsby Computational Neuroscience Unit, where he distributes advanced statistical methods developed at the unit and builds collaborative projects with the Sainsbury Wellcome Center.

Principal Investigator: Maneesh Sahani

Co-mentor: Mitra Javadzadeh No

Fellow: Aishah Qureshi

“Characterization of long-range cortical communication using optogenetic manipulations and advanced statistical models”
The joint computational and experimental mentors of this proposal investigate together how populations of neurons in different visual areas of the mouse brain directly influence the activity of each other. For this purpose, we are using and developing state-of-the-art experimental (e.g., optogenetic manipulations and multi-area population electrophysiological recordings) and statistical (e.g., latent linear dynamical models) methods. We can now precisely quantify how visual areas influence the activity of each other, which has opened many new research questions.

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