E. J. Chichilnisky
Systems Neurobiology Laboratories
Ralph S. and Becky O'Connor Chair
E. J. Chichilnisky, a professor in the Systems Neurobiology Laboratories, uses multi-electrode recording to study the function of the retina. For many years, neuroscientists have examined nervous system function by recording the electrical activity of individual nerve cells or a small number of cells. Chichilnisky and his team are taking such research to the next level by recording the activity of hundreds of neurons at once. This step is necessary because even the simplest functions of the nervous system involve many neurons.
Chichilnisky's laboratory is focused on how the retina processes visual information and transmits this information to the brain. A key area of interest is how the cellular circuitry of the retina performs the neural computations essential for vision. Other areas of investigation include the role of synchronized activity in signalling by populations of cells, and how retinal signals mediate the detection of small numbers of photons in dim lighting conditions. Chichilnisky's lab uses a state-of-the-art 512-electrode recording system, developed in collaboration with an international group of high-energy physicists, that allows them to monitor hundreds of cells at once while stimulating the retina with spatial and temporal patterns of light. A long-term goal of the research is to contribute to development of a visual prosthesis that could be implanted in the eye and substitute for retinal tissue damaged by degenerative diseases.
"Visual information is transmitted from the eye to the brain in just 1.25 million optic nerve fibers—about as many fibers as there are pixels in a cheap digital camera. Somehow we exploit this information to perform all sorts of critical tasks all the time, such as recognizing objects and navigating busy freeways, that even the most advanced robots are only starting to do. I want to understand how the retina, the neural tissue lining the back of the eye, encodes visual information so the brain can use it to produce visual experience."
Visual processing begins when photons entering the eye strike a layer of light-sensitive nerve cells in the retina, known as rods and cones. These cells convert light into electrical signals and send them to an intermediate layer, which in turn relays signals to a collection of 1.25 million neurons known as retinal ganglion cells. These cells carry visual signals from the eye to the brain.
To understand how this neural circuitry in the retina produces high-resolution vision, Chichilnisky's lab uses a state-of-the-art 512-electrode recording system, developed in collaboration with an international group of high-energy physicists. This system is capable of recording simultaneously the tiny electrical signals generated by hundreds of retinal ganglion cells that transmit information about the outside visual world to the brain. These recordings are made at high density and with fine spatial detail, sufficient to detect complete populations of the tiny and densely spaced output cells known as "midget" retinal ganglion cells.
This has allowed the researchers to map the full cone mosaic found in a region of the retina and to trace for the first time the neuronal circuitry that connects individual photoreceptors to retinal ganglion cells. It also has shed light on the neural code used by the retina to relay color information to the brain.
Based on this research, Chichilnisky's team is designing approaches to making artificial retinas to restore vision in people who are blinded by retinal degenerative diseases, such as macular degeneration or retinitis pigmentosa. In principle, retinal implants could bypass the damaged retina with the help of tiny electrode arrays that mimic the electrical signals sent to the brain in response to light. In order to engineer these prosthetics, however, scientists need to understand how neurons in the retina function as a network to produce an image, and how to electrically stimulate the retina in a manner that can reproduce important aspects of normal vision.
Left to right:
Lauren Jepson, Martin Greschner, E. J. Chichilnisky, Clare Hulse, Peter Li, Daniela Amado, Daniel Ahn
Field GD, Gauthier JL, Sher A, Greschner M, Machado TA, Jepson LH, Shlens J, Gunning DE, Mathieson K, Dabrowski W, Paninski L, Litke AM & Chichilnisky EJ (2010) Functional connectivity in the retina at the resolution of photoreceptors. Nature 467:673.
Shlens J, Field GD, Gauthier JL, Greschner M, Sher A, Litke AM, & Chichilnisky EJ (2009) The structure of large-scale synchronized firing in primate retina. Journal of Neuroscience 29:5022-5031.
Gauthier JL, Field GD, Sher A, Greschner M, Shlens J, Litke AM, & Chichilnisky EJ (2009) Receptive fields in primate retina are coordinated to sample visual space more uniformly. PLoS Biology, 2009; 7:1. e63 DOI: 10.1371/journal.pbio.1000063.
Pillow JW, Shlens J, Paninski L, Sher A, Litke AM, Chichilnisky EJ & Simoncelli EP (2008). Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 454:995-9.
Sekirnjak C, Hottowy P, Sher A, Dabrowski W, Litke AM, & Chichilnisky EJ (2008) High-resolution electrical stimulation of primate retina for epiretinal implant design. Journal of Neuroscience 28:4446-4456.
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Salk professors awarded chair appointments
August 10, 2012
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April 15, 2011
From eye to brain: Salk researchers map functional connections between retinal neurons at single-cell resolution
October 6, 2010
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April 7, 2009
For the first time, miniature electrode array records from hundreds of nerve cells simultaneously
July 11, 2005
Awards and Honors
- Howard Hughes Medical Institute fellow, 1991-1995
- Helen Hay Whitney fellow, 1996-1998
- Alfred P. Sloan Foundation Research Fellowship, 2000-2002
- McKnight Scholar's Award, 2001-2003
- McKnight Technological Innovation in Neuroscience Award (with A. Litke), 2004-2005