# Millisecond resolution statistics of cortical populations

> **NIH NIH R00** · UNIVERSITY OF COLORADO DENVER · 2020 · $65,224

## Abstract

PROJECT SUMMARY
The mammalian visual system builds and transforms representations of the outside world through the
concerted activity of populations of neurons based on the inputs received from the retina. Decades of work on
single cells and pairs have informed our understanding of visual representation beyond the retina. For
example, the asymmetric dorsal-ventral retinal cone distribution is known to lead to corresponding wavelength-
based asymmetries in the responses of downstream visual cells. But relatively little is known about the spike
time statistics of activity beyond pairs in the early visual system. While recent studies have described
population correlations and dimensionality, there remains a large gap between these analyses of population
activity and what is known of visual signaling from retinal and single cell studies in the mouse visual system.
Here, we propose to test the hypothesis that the amount and format of population visual stimulus information
depends on the wavelength content of the visual stimulus. Testing these hypotheses requires the ability to
separately stimulate each of the photoreceptor classes with arbitrary spatiotemporal stimuli across enough of
the visual field to drive large population responses. We will use multiple high-density multi-electrode arrays to
record populations of single neurons in an immersive environment which can separately activate
photoreceptors. This work will allow us to understand how known parallel channels in mouse vision influence
population statistics, and in what ways populations statistics are misestimated when using photoreceptor and
visual channel-limiting stimuli.

## Key facts

- **NIH application ID:** 10224559
- **Project number:** 3R00EY028612-04S1
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** Daniel James Denman
- **Activity code:** R00 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $65,224
- **Award type:** 3
- **Project period:** 2020-09-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10224559

## Citation

> US National Institutes of Health, RePORTER application 10224559, Millisecond resolution statistics of cortical populations (3R00EY028612-04S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10224559. Licensed CC0.

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