Charles University

Computational Systems Neuroscience Group

University College London

a brief electrical signal used by neurons to transmit information

an undesirable medical occurrence during a clinical study or treatment

an age-related disease that damages the macula and progressively reduces central vision

the ability of a material or device to function without causing an unacceptable biological response

the degree to which a model reflects known biological structure, mechanisms, or behavior

an electrical pulse with two phases of opposite polarity

a retinal neuron that relays signals from photoreceptors to ganglion cells

severe vision loss that may still include some remaining sight

clouding of the eye's lens that can blur or dim vision

the shape and structural features of a cell

treatment that uses living cells to replace, repair, or support damaged tissue

the folded outer layer of the brain involved in perception, thought, and voluntary action

the amount of electric charge delivered per unit electrode area

an action intended to prevent, diagnose, treat, or manage a health condition

a research study in people that evaluates a medical intervention

a photoreceptor specialized for daylight, color, and detailed vision

blindness or severe vision loss that is present from birth

the ability to detect differences between lighter and darker parts of a scene

a device that stimulates the cerebral cortex to create sensory percepts

a U.S. government agency that funds ambitious research and technology development

a small, early clinical study of a medical device focused on initial safety and functionality

the use of controlled electric current to activate or alter neural activity

the opposition to alternating electrical current at an electrode and its surrounding interface

how effectively an electrode records from or stimulates nearby neurons

the study and measurement of electrical activity in cells and tissues

the formation of a tissue capsule around an implanted material

University of California, Santa Barbara (UCSB)

Bionic Vision Lab

University of Washington

Vision + Cognition Group

ETH Zurich

*Prof. [Jan Antolik](/people/jan-antolik)’s path into computational neuroscience began in artificial intelligence, at a time when the field was far from its current prominence. What started as a detour to better understand neural networks became a long-term commitment to studying the brain itself. Today, his work sits at the intersection of biologically grounded modeling and neurotechnology, with a particular focus on how cortical circuits give rise to perception and how they might be engaged to restore vision.*

*In this interview, he reflects on the ideas that shaped his approach, the challenges of linking stimulation to perception, and the broader vision behind large-scale collaborative efforts like REVICAN.*

Collage for the Pathways series featuring Jan Antolik. On the left is a portrait of Antolik. The top right shows a diagram of a computational model linking training on visual stimuli to stimulation protocols and predicted neuron responses. The bottom right shows a Prague cityscape with the CSNG logo. The Pathways logo appears at bottom left.

Jan Antolik, PhD(he/him)

Jan Antolik, PhD(he/him)

This profile has not been verified yet. Information presented here may thus be incomplete or inaccurate.

Research Spotlights

Pathways: Prof. Jan Antolik on Building Models That Take Biology Seriously

March 29, 2026 8:22 AM

How researchers found their path, and where they're headed next.

Experience

Assistant Professor (2021 - present)

Computational Systems Neuroscience Group

Charles University

Research Fellow (2018 - 2020)

Charles University

Postdoctoral Researcher (2017 - 2018)

Institut de la Vision

Postdoctoral Researcher (2011 - 2016)

CRNS UNIC

Postdoctoral Researcher (2009 - 2010)

University College London

Education

PhD, Neuroinformatics (2006 - 2009)

The University of Edinburgh

MS, Theoretical Computer Science (1999 - 2005)

Charles University

MS, Computer Science (2003 - 2004)

Kansas State University

Article Information

December 06, 2024 21:18 PM

The following people contributed to this page:

Michael Beyeler, PhD

UC Santa Barbara (2019 - present)

Quick Links

Contact Us

This is a community project. Find out more about our team of contributors. If you'd like to contribute, please contact us.

Media Copyright Information

All images used with permission. Introduction graphic: © Getty. Background graphic: © Tracy Spohn/Shutterstock.

Jan Antolik, PhD(he/him)Personal WebsiteGoogle Scholar profileLinkedIn profilepersonal Twitter

Jan Antolik, PhD(he/him)Personal WebsiteGoogle Scholar profileLinkedIn profilepersonal Twitter

WarningWarningThis profile has not been verified yet. Information presented here may thus be incomplete or inaccurate.WarningWarning

Research Spotlights

Pathways: Prof. Jan Antolik on Building Models That Take Biology Seriously

March 29, 2026 8:22 AM

How researchers found their path, and where they're headed next.

Experience

Assistant Professor (2021 - present)

Computational Systems Neuroscience Group

Charles University

Research Fellow (2018 - 2020)

Charles University

Postdoctoral Researcher (2017 - 2018)

Institut de la Vision

Postdoctoral Researcher (2011 - 2016)

CRNS UNIC

Postdoctoral Researcher (2009 - 2010)

University College London

Education

PhD, Neuroinformatics (2006 - 2009)

The University of Edinburgh

MS, Theoretical Computer Science (1999 - 2005)

Charles University

MS, Computer Science (2003 - 2004)

Kansas State University

Article Information

December 06, 2024 21:18 PM

The following people contributed to this page:

Michael Beyeler, PhDverified

UC Santa Barbara (2019 - present)

Quick Links

Contact Us

This is a community project. Find out more about our team of contributors. If you'd like to contribute, please contact us.

Media Copyright Information

All images used with permission. Introduction graphic: © Getty. Background graphic: © Tracy Spohn/Shutterstock.

Jan Antolik, PhD(he/him)

Jan Antolik, PhD(he/him)

This profile has not been verified yet. Information presented here may thus be incomplete or inaccurate.

Michael Beyeler, PhD