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Questions and Answers
What is Sequential Probability Ratio Test (SPRT) used for?
What is Sequential Probability Ratio Test (SPRT) used for?
Making static or sequential decisions
What is Signal Detection Theory (SDT)?
What is Signal Detection Theory (SDT)?
A statistical approach to quantify the ability to differentiate between signal (true events) and noise (false alarms).
What principle is the concept of Integrating Likelihoods Over Time based on?
What principle is the concept of Integrating Likelihoods Over Time based on?
The principle that multiple independent pieces of evidence can be combined to strengthen the overall decision
What does the Drift-Diffusion Model suggest about decision making?
What does the Drift-Diffusion Model suggest about decision making?
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What is the role of the Posterior Parietal Cortex in decision-making?
What is the role of the Posterior Parietal Cortex in decision-making?
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What is the key principle behind Sequential Probability Ratio Test (SPRT)?
What is the key principle behind Sequential Probability Ratio Test (SPRT)?
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What are Reward and History Biases in decision-making?
What are Reward and History Biases in decision-making?
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How do attractor networks potentially behave in decision-making processes?
How do attractor networks potentially behave in decision-making processes?
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Explain the Speed-Accuracy Trade-Off in decision-making.
Explain the Speed-Accuracy Trade-Off in decision-making.
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How does the concept of Multiple Samples Integration relate to decision-making?
How does the concept of Multiple Samples Integration relate to decision-making?
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How can reward biases be implemented in decision-making processes?
How can reward biases be implemented in decision-making processes?
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What is the role of Sequential Probability Ratio Test in decision-making processes?
What is the role of Sequential Probability Ratio Test in decision-making processes?
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What are the four possible outcomes in Signal Detection Theory?
What are the four possible outcomes in Signal Detection Theory?
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How can performance limitations be characterized in Signal Detection Theory?
How can performance limitations be characterized in Signal Detection Theory?
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In what decision-making model is evidence integrated from sensory information over time?
In what decision-making model is evidence integrated from sensory information over time?
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What do firing rates align to in the Drift-Diffusion Model (DDM)?
What do firing rates align to in the Drift-Diffusion Model (DDM)?
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What drives 'diffusion-to-bound' behavior in networks, according to the text?
What drives 'diffusion-to-bound' behavior in networks, according to the text?
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What influences reward and history biases in decision-making shifts?
What influences reward and history biases in decision-making shifts?
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Study Notes
Decision-Making Models and Theories
- Sequential Probability Ratio Test (SPRT) is a mathematical method used to make decisions based on sequential observations.
- Signal Detection Theory (SDT) is a theoretical framework that explores how people make decisions under uncertainty, considering both true and false alarms.
- The concept of Integrating Likelihoods Over Time is based on the principle of combining evidence from multiple observations to make a decision.
Decision-Making Mechanisms
- The Drift-Diffusion Model suggests that decision-making is a gradual process, where evidence accumulates over time until a threshold is reached, leading to a decision.
- The Posterior Parietal Cortex plays a key role in decision-making, particularly in tasks that require the integration of sensory information.
Biases and Limitations
- Reward and History Biases are types of biases that influence decision-making by prioritizing past rewards and experiences.
- Attractor networks can exhibit oscillatory behavior in decision-making processes.
- The Speed-Accuracy Trade-Off suggests that faster decisions may come at the cost of accuracy.
- The concept of Multiple Samples Integration relates to decision-making, where evidence is integrated over time to make a decision.
Signal Detection Theory
- The four possible outcomes in Signal Detection Theory are Hits, Misses, False Alarms, and Correct Rejections.
- Performance limitations in Signal Detection Theory can be characterized by the receiver operating characteristic (ROC) curve.
Drift-Diffusion Model
- In the Drift-Diffusion Model, firing rates align with the decision variable, which accumulates evidence over time.
- The 'diffusion-to-bound' behavior in networks is driven by the integration of sensory evidence.
Reward and History Biases
- Reward and history biases in decision-making shifts can be influenced by the integration of past rewards and experiences into the decision-making process.
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Description
Learn about how evidence accumulates and influences decision-making using the Sequential Probability Ratio Test (SPRT). Explore the concept of integrating likelihoods over time to strengthen decisions based on multiple independent pieces of evidence.