Prof Radoslaw Cichy | Deep neural networks as scientific models of vision

This seminar is free to attend and is open to all, both within and outside the University. Attendance is possible both in-person and on Zoom, details of Zoom registration and physical location can be found above.

We are delighted to announce that the Centre for Human Brain Health (CHBH) will welcome Professor Radoslaw Cichy to present a hybrid CHBH Seminar, taking place on the date and time above.
Professor Cichy is Principal Investigator of the Neural Dynamics of Visual Cognition Lab at the Free University of Berlin, and his full biography can be found below.

To arrange a 1:1 meeting with the speaker, please state your interest in the Zoom registration link above, or email chbh@contacts.bham.ac.uk. 

CHBH Event Host
Professor Ole Jensen

Deep neural networks as scientific models of vision

Abstract

Artificial deep neural networks (DNNs) are used in many different ways to address scientific questions about how biological vision works. In spite of the wide usage of DNNs in this context, their scientific value is periodically questioned. I will argue that DNNs are good in three ways for vision science: for prediction, for explanation, and for exploration. I will illustrate these claims by recently published or still ongoing projects in the lab. I will also propose future steps to accelerate progress.

Speaker Biography

Radek Cichy received a Bachelor degree in Cognitive Science, and a Master degree in Medical Neuroscience. He completed his Ph.D. in Psychology, followed by a PostDoc at the Computer Science and Artificial Intelligence Laboratory at MIT. He is currently leading the “Neural Dynamics of Visual Cognition Lab” at Freie Universität Berlin, centered around the question of how the human brain translates the constant flow of neurons hitting the retina into a meaningful percept of the world consistent of objects. His scientific approach combines aspects of psychology (behavioral assessment), neuroscience (brain measurements), and computer science (deep neural networks).

This seminar is free to attend and is open to all, both within and outside the University. Attendance is possible both in-person and on Zoom, details of Zoom registration and physical location can be found above.