Greg D. Field Laboratory
Visual Processing and Retinal Circuits
Understanding neural computation in the retina
Greg D. Field, Ph.D.
Associate Professor
Fran and Ray Stark Chair of Ophthalmology
Department of Ophthalmology
Assistant Director of Research
Director, Live Imaging and Functional Evaluation Core
Jules Stein Eye Institute
The Field laboratory investigates how neural circuits in the retina process visual information and adapt to different environmental conditions. Our research combines electrophysiology, imaging, and computational approaches to understand the fundamental principles of retinal computation.
Research Focus Areas:
- Neural circuits for motion processing
- Adaptation to different light levels
- Parallel processing in retinal pathways
- Computational models of retinal function
- Visual signal processing and encoding
Our research aims to understand how the retina performs complex computations and adapts to changing environmental conditions. This work provides insights into both fundamental principles of neural computation and potential therapeutic strategies for vision restoration.
Recent Publications
Retinal ganglion cell function: ON and OFF pathways.
Field GD
Handbook of clinical neurology (2026)
View PublicationProjection targeting with phototagging to study the structure and function of retinal ganglion cells.
Bohlen MO, Rudzite AM, Daw TB, Kuczewski GM, Spiro E, Hammond C, Rogers DR, Gallego-Ortega A, Manookin MB, Roy S, Ritola K, Sommer MA, Field GD
Cell reports methods (2026)
View PublicationAuthor Correction: Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation
Saad Idrees, Michael B. Manookin, Fred Rieke, Greg D. Field, Joel Zylberberg
Nature Communications (2025)
View PublicationLocal synaptic inhibition mediates cerebellar granule cell pattern separation and enables learned sensorimotor associations
Elizabeth A. Fleming, Greg D. Field, Michael R. Tadross, Court Hull
Nature Neuroscience (2024)
View PublicationGABAergic Inhibition Controls Receptive Field Size, Sensitivity, and Contrast Preference of Direction Selective Retinal Ganglion Cells Near the Threshold of Vision
Suva Roy, Xiaoyang Yao, Jay Rathinavelu, Greg D. Field
The Journal of Neuroscience (2024)
View PublicationBiophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation
Saad Idrees, Michael B. Manookin, Fred Rieke, Greg D. Field, Joel Zylberberg
Nature Communications (2024)
View PublicationCones and cone pathways remain functional in advanced retinal degeneration
Erika M. Ellis, Antonio E. Paniagua, Miranda L. Scalabrino, Mishek Thapa, Jay Rathinavelu, Yuekan Jiao, David S. Williams, Greg D. Field, Gordon L. Fain, Alapakkam P. Sampath
Current Biology (2023)
View PublicationLate gene therapy limits the restoration of retinal function in a mouse model of retinitis pigmentosa
Miranda L. Scalabrino, Mishek Thapa, Tian Wang, Alapakkam P. Sampath, Jeannie Chen, Greg D. Field
Nature Communications (2023)
View PublicationRobust cone-mediated signaling persists late into rod photoreceptor degeneration
Miranda L Scalabrino, Mishek Thapa, Lindsey A Chew, Esther Zhang, Jason Xu, Alapakkam P Sampath, Jeannie Chen, Greg D Field
eLife (2022)
View PublicationInter-mosaic coordination of retinal receptive fields
Suva Roy, Na Young Jun, Emily L. Davis, John Pearson, Greg D. Field
Nature (2021)
View Publication