Decision-related activity and movement selection in primate visual cortex
Data files
Jan 18, 2024 version files 127.03 KB
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Bias_Before_and_After_Muscimol.mat
2.12 KB
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CP_dots.mat
48.89 KB
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CP_postGrating.mat
30.38 KB
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CP_preGrating.mat
29.35 KB
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dots_CP_vs_Angle.mat
1.45 KB
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dots_CP_vs_Distance.mat
1.45 KB
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postGrating_CP_vs_Angle.mat
1.07 KB
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postGrating_CP_vs_Distance.mat
1.07 KB
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preGrating_CP_vs_Angle.mat
1.08 KB
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preGrating_CP_vs_Distance.mat
1.07 KB
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Psychometric_data_phase1_Musc_monkey1.mat
816 B
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Psychometric_data_phase1_Musc_monkey2.mat
875 B
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Psychometric_data_phase2_Musc_monkey1.mat
879 B
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Psychometric_data_phase2_Musc_monkey2.mat
815 B
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Read_me.txt
2.64 KB
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README.md
2.80 KB
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timing.mat
297 B
Abstract
Fluctuations in the activity of sensory neurons often predict perceptual decisions. This connection can be quantified with a metric called choice probability (CP), and there has been a longstanding debate about whether CP reflects a causal influence on decisions, or an echo of decision-making activity elsewhere in the brain. Here we show that CP can actually reflect a third variable, namely the movement used to indicate the decision. In a standard visual motion discrimination task, neurons in the middle temporal (MT) area of the primate visual cortex responded more strongly during trials in which the animals executed a saccade toward their receptive fields, and less strongly for saccades directed away from the receptive fields. The resulting trial-to-trial variability accounted for much of the CP observed across the neuronal population, and it arose through training. The learned association between MT activity and oculomotor selection was causal, as pharmacological inactivation of MT neurons biased behavioral responses away from the corresponding receptive field locations. These results demonstrate that training on a task with fixed sensorimotor contingencies introduces movement-related activity in sensory brain regions, and that this plasticity can shape the neural circuitry of perceptual decision-making.
README: Decision-related activity and movement selection in primate visual cortex
https://doi.org/10.5061/dryad.2rbnzs7w1
This dataset, provided in MATLAB file format (.mat), offers a comprehensive summary of experimental results:
CP_preGrating.mat: This file include the computed choice probabilities (CP) of all neurons recorded in phase 1 for grating stimuli plotted in figure 3.
CP_dots.mat: This file include the computed choice probabilities (CP) of all neurons recorded in phase 2 for random dot stimuli plotted in figure 2 and 3.
CP_postGrating.mat: This file include the computed choice probabilities (CP) of all neurons recorded in phase 2 for grating stimuli plotted in figure 3.
Timing.mat: This file is included to specify the time window for each column in the CP files plotted in figure 2 and 3.
PreGrating_CP_vs_Angle.mat: A file contains data of CP against each recording site’s degree of congruency defined as the angle between the receptive field position and the saccade endpoint associated with the preferred visual motion direction for gratings in phase 1 (Figure 4).
dots_CP_vs_Angle.mat: A file contains data of CP against each recording site’s degree of congruency defined as the angle between the receptive field position and the saccade endpoint associated with the preferred visual motion direction for dots in phase 2 (Figure 4).
PostGrating_CP_vs_Angle.mat: A file contains data of CP against each recording site’s degree of congruency defined as the angle between the receptive field position and the saccade endpoint associated with the preferred visual motion direction for gratings in phase 2 (Figure 4).
PreGrating_CP_vs_Distance.mat: A file contains data of CP against each recording site’s degree of congruency defined as the Euclidean distance between the RF position and the preferred saccade target for gratings in phase 1 (Figure 4).
dots_CP_vs_ Distance.mat: A file contains data of CP against each recording site’s degree of congruency defined as the Euclidean distance between the RF position and the preferred saccade target for dots in phase 2 (Figure 4).
PostGrating CP_vs Distance.mat: A file contains data of CP against each recording site’s degree of congruency defined as the Euclidean distance between the RF position and the preferred saccade target for gratings in phase 2 (Figure 4).
Bias_Before_and_After_Muscimol.mat: This folder contains all computed behavioral bias values across various contrast levels in phases 1 and 2 for gratings, both before and after the injection of muscimol (Figure 5).
Psychometrics data.mat files: Includes all data used to plot psychometric curves individually for each monkey, both before and after the injection of muscimol (Figure 5).