Study on the Parameters That Influence Perceptual Decisions

If a decision influences the well-being of another (through monetary payoff), the decision making processes should differ from a decision that would influences only oneself. The difference will be reflected in the reaction-times and in the accuracy of the response to the task. The drift diffusion models care then used to estimate le decision parameter in each condition and understand which parameter is influenced by the beneficiary of the payoff associated with a decision.

Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the influence of others on the decision making process, by assessing the neural activity related to the decision making processes. Also, the research compares how the brain responses for payoff for others and payoffs for oneself, specially to confirm that these responses are located in different areas of the Anterior cingulate Cortex.

If a decision influences the well-being of another (through monetary payoff), the decision making processes should differ from a decision that would influences only oneself. The difference will be reflected in the reaction-times and in the accuracy of the response to the task. The drift diffusion models care then used to estimate le decision parameter in each condition and understand which parameter is influenced by the beneficiary of the payoff associated with a decision.

Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the influence of others on the decision making process, by assessing the neural activity related to the decision making processes. Also, the research compares how the brain responses for payoff for others and payoffs for oneself, specially to confirm that these responses are located in different areas of the Anterior cingulate Cortex.

If a decision influences the well-being of another (through monetary payoff), the decision making processes should differ from a decision that would influences only oneself. The difference will be reflected in the reaction-times and in the accuracy of the response to the task. The drift diffusion models care then used to estimate le decision parameter in each condition and understand which parameter is influenced by the beneficiary of the payoff associated with a decision.

Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the influence of others on the decision making process, by assessing the neural activity related to the decision making processes. Also, the research compares how the brain responses for payoff for others and payoffs for oneself, specially to confirm that these responses are located in different areas of the Anterior cingulate Cortex.

In order to clarify the complex changes in the decision-making processes induced by simple observation by others (audience) , the experiment have two levels of difficulty . These levels of difficulty will be determined in such a way as to achieve better 'public' performance than 'private' when the task is easy (high level of consistency) and poor performance when the task is difficult (low level of coherence) As described in the literature in psychology. Drift diffusion models will be used to better understand the variations in performance, to decipher between a modulation of the diffusion velocity and or of the decision threshold. This study will help characterize how observation by others modulates performance. Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the impact of observation by others on the decision making process.

In order to clarify the complex changes in the decision-making processes induced by simple observation by others (audience) , the experiment have two levels of difficulty . These levels of difficulty will be determined in such a way as to achieve better 'public' performance than 'private' when the task is easy (high level of consistency) and poor performance when the task is difficult (low level of coherence) As described in the literature in psychology. Drift diffusion models will be used to better understand the variations in performance, to decipher between a modulation of the diffusion velocity and or of the decision threshold. This study will help characterize how observation by others modulates performance. Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the impact of observation by others on the decision making process.

In order to clarify the complex changes in the decision-making processes induced by simple observation by others (audience) , the experiment have two levels of difficulty . These levels of difficulty will be determined in such a way as to achieve better 'public' performance than 'private' when the task is easy (high level of consistency) and poor performance when the task is difficult (low level of coherence) As described in the literature in psychology. Drift diffusion models will be used to better understand the variations in performance, to decipher between a modulation of the diffusion velocity and or of the decision threshold. This study will help characterize how observation by others modulates performance. Once the decision parameter characterized with behavioral experiment, the study aims to better understand the neural network sustaining the impact of observation by others on the decision making process.