Chichilnisky Lab - Media

An artificial retina that could help restore sight to the blind (2019)

Members of the team, including Chichilnisky and his collaborators in Stanford’s Electrical Engineering and Computer Science departments, recently announced they have devised a way to solve that problem by significantly compressing the massive amounts of visual data that all those neurons in the eye create. They discuss their advance in a study published in the IEEE Transactions on Biomedical Circuits and Systems. A condensed decription can be viewed here.

Stanford Researcher Perfecting Electronic-Brain Communication (2018)

The work of Stanford Professor of Neurosurgery, E.J. Chichilnisky, PhD, on rebuilding the retina with electronics, is highlighted in this German Television piece about the future of brain-computer interface. 

Stanford Scientists Seek to Speak the Brain’s Language to Heal its Disease (2017)

The Stanford News Service takes a look at the latest advances in treating neurological diseases with brain-computer interfaces, highlighting the work of several faculty in Stanford's Department of Neurosurgery. Creating Wireless Cyborg Eyes for the Blind (2017)

The work of Dr. Chichilnisky is showcased in this introduction to the retina as one of the best-understood and most accessible avenues to the brain.

Stanford Medicine Bionic: How video goggles and a tiny implant could cure blindness (2017)

In addition to discussing Dr. Chichilnisky’s concept for a next-generation artificial retina, this article introduces the work of Dr. Palanker, a close collaborator in the Stanford Artificial Retina Project, who has already built a functional retinal implant.

Is The Cure for Blindness Bionic Googles? (2017)

The work of two Stanford teams, including one led by Professor of Neurosurgery, E.J. Chichilnisky, PhD, working on finding a solution for blindness through bionic googles and an implant, is explored in this TrendInTech piece.

Stanford NeuroTechnology Initiative (2017)

A multi-disciplinary team at the Stanford Neuroscience Institute has set out to develop the next generation of neural interfaces that match the resolution and performance of the biological circuitry.  

'Artificial Vision' May Soon Be More Natural (2014)

This Medical Daily report highlights the work being done by Stanford Professor of Neurosurgery, E.J. Chichilnisky, PhD, on reproducing natural patterns of activity in the retina using electrical stimulation.

Neural Diagrams Help Explain Color Vision (2010)

A team of scientists, including Stanford Professor of Neurosurgery, E.J. Chichilnisky, PhD, created the first complete characterization of a circuit in a vertebrate nervous system.

How The Retina Works (2009)

Scientists say their recent findings suggest that the nervous system operates with higher precision than previously appreciated and that apparent irregularities in individual cells may actually be coordinated and finely tuned.