Framework and main experimental measures.

Abstract

<p>(A) Experimental setup. Top: A set of stimulus values <i>s</i> (color-coded as blue, yellow, red) are repeatedly presented to an animal. Middle: The animal’s choice <i>c</i> on each trial (green) indicates whether the animal judged <i>s</i> to be larger or smaller than the fixed central value, <i>s</i><sub>0</sub>. Bottom: In each session, several task-relevant sensory neurons are recorded simultaneously with the behavior. (B) The psychometric curve <i>ψ</i>(<i>s</i>) quantifies the animal’s sensory accuracy. Its inverse slope in <i>s</i><sub>0</sub> provides the just-noticeable-difference (JND), <i>Z</i>. (C) The noise covariance structure can be assessed in each pair of simultaneously recorded neurons, as their joint peri-stimulus histogram (JPSTH) <i>C</i><sub><i>ij</i></sub>(<i>t</i>, <i>u</i>). (D) Responses of a particular neuron. Each thin line is the schematic (smoothed) representation of the spike train on one trial. Segregating trials according to stimulus (top), we access the neuron’s peri-stimulus histogram (PSTH, thick lines) and its tuning signal <i>b</i><sub><i>i</i></sub>(<i>t</i>)—shown in panel (E). Fixing a stimulus value and segregating trials according to the animal’s choice <i>c</i> (bottom), we access the neuron’s choice covariance (CC) curve <i>d</i><sub><i>i</i></sub>(<i>t</i>)—shown in panel (F).</p

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Last time updated on 12/02/2018

This paper was published in FigShare.

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