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Greg D. Field Laboratory

Visual Processing and Retinal Circuits

Understanding neural computation in the retina

Dr. Greg D. Field

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.

Lab Members

Recent Publications

Designing stimuli for non-invasive, cell-type-specific manipulation of retinal ganglion cell activity

Niloufar Ghazavi, Saad Idrees, Vyom Manish Raval, Michael B. Manookin, Fred Rieke, Greg D. Field, Joel Zylberberg

2026

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Projection targeting with phototagging to study the structure and function of retinal ganglion cells

Martin O. Bohlen, Andra M. Rudzite, Tierney B. Daw, Genevieve M. Kuczewski, Ergi Spiro, Cassie Hammond, …, Greg D. Field, et al.

CELL REPORTS METHODS (2026)

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Retinal ganglion cell function: ON and OFF pathways.

GREG D. FIELD

Handbook of clinical neurology (2026)

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Decomposition of retinal ganglion cell electrical images for cell type and functional inference

Eric G Wu, Andra M Rudzite, Martin O Bohlen, Peter H Li, Alexandra Kling, Sam Cooler, …, Greg D Field, et al.

JOURNAL OF NEURAL ENGINEERING (2025)

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Author 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)

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Identification of cell-type-specific cis-regulatiory modules (CRMs) in the primate retina

MOLECULAR THERAPY (2025)

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 (2024)

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DART.2: bidirectional synaptic pharmacology with thousandfold cellular specificity

Brenda C. Shields, Haidun Yan, Shaun S. X. Lim, Sasha C. V. Burwell, Celine M. Cammarata, Elizabeth A. Fleming, …, Greg D. Field, et al.

NATURE METHODS (2024)

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Population encoding of stimulus features along the visual hierarchy

Luciano Dyballa, Andra M. Rudzite, Mahmood S. Hoseini, Mishek Thapa, Michael P. Stryker, Greg D. Field, Steven W. Zucker

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2024)

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GABAergic 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

JOURNAL OF NEUROSCIENCE (2024)

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