Three-systems for visual numerosity: A single case study

<p>MOT TASK</p> <p>Each file refers to a session with a particular condition. It is spelt out in the file name the number of objects to track as well as the total amount of objects on the screen</p> <p>Within each file it is found a variable called &ldquo;MatriceRisultati&rdquo;. Which contains:</p> <ol> <li>Number of targets to follow</li> <li>Number of correct answers</li> <li>Number of trials at the condition</li> <li>Percent correct responses (i.e. value_2 / value_3)</li> </ol> <p>&nbsp;</p> <p>NECKLACE &ndash; DISTANCE TASK</p> <p>Each file contains raw data for each session. All the data are store in a variable called RESP, which contains parameters for each trial.</p> <p>The crucial columns are</p> <ol> <li>Inter dot distance in the reference (in pixels &ndash; typically 1 pixel =~0.03 cm)</li> <li>Interdot distance in the test (in pixels)</li> <li>Subject choice to the question &ldquo;which contains closer dots&rdquo;</li> </ol> <p>For analysis one has to draw a psychometric curve (i.e. a cumulative gaussian) that fits the data of column 3, as a function of interdot distance (column 2). Varinat may include dividing column 2 by column 1 (so to have the ratio between test and reference) and run the psychometric curve on such normalized dimension</p> <p>&nbsp;</p> <p>Further explanation of the other columns (seeds for generating the stimuli) can be obtained from the authors.</p> <p>&nbsp;</p> <p>Numerosity discrimination</p> <ul> <li>The relevant columns in the matrix &lsquo;a&rsquo; contain the following information:</li> <li>1^st: Numerosity</li> <li>2^nd: Log10 Numerosity</li> <li>3^rd: Response&nbsp;</li> </ul> <p>&nbsp;</p> <p>Further explanation of the other columns (seeds for generating the stimuli) can be obtained from the authors.</p> <p>&nbsp;</p> <p>Numerosity estimation</p> <ul> <li>The relevant columns in the matrix &lsquo;ContengoRisultati&rsquo; contain the following information:</li> <li>1^st: Numerosity</li> <li>2^nd: Response</li> </ul> <p>&nbsp;</p> <p>Further explanation of the other columns (seeds for generating the stimuli) can be obtained from the authors.</p> <p>&nbsp;</p> <p>&nbsp;</p>