CorticalCells: Contrast Response Functions from Visual Cortical Cells

In MPDiR: Data sets and scripts for Modeling Psychophysical Data in R.

Description

The responses in impulses/second of 6 cells recorded in the macaque cortex in visual areas V1 and V2 to a series of contrasts of drifting sinusoidal gratings of optimal location, orientation, size and spatial frequency.

Usage

data(CorticalCells)

Format

A data frame with 42 observations on the following 7 variables.

Contrast

numeric vector of the Michelson contrast of the grating

Response

numeric vector of the mean response of the cell in impulse/second (action potentials)

SEM

numeric vector of the standard error of the mean of the Response

N

numeric vector of the number of responses recorded

Type

factor with levels CX SM corresponding to the cell type classification, complex or simple

Area

a factor with levels V1 V2 corresponding to the cortical area in which the cell was recorded

Cell

a factor with levels a, ..., f as an identifier of the cell. The numbers, also, correspond to the panels of Figure 2 from the reference (see below) in which the data were published.

Details

Extracellular recordings of cells from macaque visual cortical areas V1 and V2. Simple and complex cells were differentiated by whether or not the response rate, f_0, was greater than the amplitude of modulation at the drift rate, f_1. If f_1 > f_0, the cell was classified as a simple cell and the value of f_1 is reported; otherwise the cell is classified as a complex cell and the value of f_0 is reported. In both cases, the units are in impulses/second.

Source

Data collected in Peter Lennie's lab, analysis by Jon Peirce (see reference below)

References

Peirce, J. W. (2007). The potential importance of saturating and supersaturating contrast response functions in visual cortex. Journal of Vision, 7(6):13, 1–10, http://journalofvision.org/7/6/13/.

Examples

data(CorticalCells)
lattice::xyplot(Response ~ Contrast | Cell, CorticalCells, 
	type = "b")

MPDiR documentation built on May 2, 2019, 5:54 p.m.