Developing a deeper understanding of brain function requires researchers to connect the different levels of analysis that have characterized the field of neuroscience. In particular, the frontier of systems neuroscience is to reveal how the biophysical properties of neurons and the pattern and characteristics of their synaptic connections together give rise to a functional neural circuit. Measurements of neuronal biophysics, anatomical connectivity, synaptic currents, and circuit function are rarely performed on the same cells, and this experimental limitation has been a barrier to our integration of knowledge across these different levels. My proposal describes new techniques to classify cell types and measure anatomical connectivity, synaptic properties, and circuit output all in the same neurons. It also includes a new theoretical framework to integrate these measurements into a model to predict circuit function given its natural input. The neural circuits of the mouse retina provide an ideal model system for this integrated approach because of our extensive knowledge of cell types and the experimental accessibility of the retina, in which it can be stimulated with its natural input (patterns of light) while recording its full output (the spike trins of retinal ganglion cells). In addition to their impact as templates for the integration of measurements across levels to predict circuit function, the circuit maps of the mouse retina will provide critical insights into the segregation of visual processing between the retina and downstream visual areas in the brain. Detailed models linking synaptic connectivity to function will also aid in the diagnosis and treatment of retinal disease by associating particular circuit components with specific types of visual processing.

Public Health Relevance

This project aims to improve our understanding of the neural circuits of the retina by linking detailed wiring maps with functional measurements from the same cells. Several new brain-mapping techniques developed as part of the project will have broad impacts in other mapping efforts throughout the brain. A circuit level understanding of the retina will have important implications for our understanding of downstream visual areas and for the diagnosis and treatment of retinal diseases that impair human vision.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
NIH Director’s New Innovator Awards (DP2)
Project #
1DP2EY026770-01
Application #
8952434
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Greenwell, Thomas
Project Start
2015-09-30
Project End
2020-09-29
Budget Start
2015-09-30
Budget End
2020-09-29
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Northwestern University at Chicago
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
Jacoby, Jason; Nath, Amurta; Jessen, Zachary F et al. (2018) A Self-Regulating Gap Junction Network of Amacrine Cells Controls Nitric Oxide Release in the Retina. Neuron 100:1149-1162.e5
Wienbar, Sophia; Schwartz, Gregory W (2018) The dynamic receptive fields of retinal ganglion cells. Prog Retin Eye Res 67:102-117
Mani, Adam; Schwartz, Gregory W (2017) Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites. Curr Biol 27:471-482
Nath, Amurta; Schwartz, Gregory W (2017) Electrical synapses convey orientation selectivity in the mouse retina. Nat Commun 8:2025
Jacoby, Jason; Schwartz, Gregory W (2017) Three Small-Receptive-Field Ganglion Cells in the Mouse Retina Are Distinctly Tuned to Size, Speed, and Object Motion. J Neurosci 37:610-625
Nath, Amurta; Schwartz, Gregory W (2016) Cardinal Orientation Selectivity Is Represented by Two Distinct Ganglion Cell Types in Mouse Retina. J Neurosci 36:3208-21
Jacoby, Jason; Zhu, Yongling; DeVries, Steven H et al. (2015) An Amacrine Cell Circuit for Signaling Steady Illumination in the Retina. Cell Rep 13:2663-70