Decision processes in temporal discrimination.

Area of Science:

• Cognitive Neuroscience
• Decision Theory
• Psychology

Background:

• Interval timing research has overlooked processing dynamics and response times, creating a gap with non-temporal decision theories.
• Existing decision-making models extensively use response times, highlighting a disconnect with temporal decision theories.
• A unified decision-theoretic framework could bridge temporal and non-temporal decision-making.

Purpose of the Study:

• To investigate a decision-theoretic framework for interval timing and temporal decisions.
• To test the framework's applicability to human performance on the temporal bisection task.
• To determine if a sequential diffusion process can explain temporal discrimination.

Main Methods:

• Human participants performed a temporal bisection task, categorizing stimulus durations as short or long.
• Analysis focused on choice proportions and response times to evaluate decision models.
• A two-stage, sequential diffusion process model was developed and parameterized for reward maximization.

Main Results:

• The proposed two-stage diffusion model accurately predicted key patterns in temporal bisection performance.
• The first stage of the model captures interval timing via an endogenous clock signal.
• The second stage involves decision-making based on the first stage's temporal representation, incorporating noise and reward maximization.

Conclusions:

• A two-stage sequential diffusion process, incorporating reward maximization, explains interval timing and temporal decisions.
• The findings support extending the drift-diffusion model to the domain of interval timing.
• The model accounts for response times and choice proportions in temporal discrimination tasks.