معرفی
Greg Field is an Associate Professor in the David Geffen School of Medicine at University of California, Los Angeles, specializing in Neuroscience with a focus on retinal circuitry and visual signal processing. His research explores how populations of retinal ganglion cells encode visual information through coordinated receptive fields and nonlinear signal transmission, utilizing advanced computational models and multielectrode recordings.
- Key Research Areas
- Retinal ganglion cell receptive field coordination
- Neural coding of visual stimuli at single-cone resolution
- Computational neuroscience and efficient coding theory
- Role of inhibition in visual processing
- Recent Trends
- 2024 studies on encoding manifolds and visual cortical organization
- 2023 work on retinal degeneration and cone pathway functionality
- 2022-2023 publications on neural adaptation and artificial networks
Field's work bridges experimental neuroscience (e.g., in Journal of Neuroscience, Nature Neuroscience) and computational modeling (e.g., Neural Computation). He has contributed to understanding retinal mosaics, correlated firing patterns, and the biophysical mechanisms underlying visual sensitivity.
His affiliations include collaborations with institutions like University of Washington and University of California, San Francisco, and his research has been supported by NIH grants such as R01 EY017992 and F31 NS054519.
