'Leaky competing accumulator model' diaporamas de présentation

Decision Dynamics and Decision States in the Leaky Competing Accumulator Model

640 views • 52 slides

Decision Dynamics and Decision States in the Leaky Competing Accumulator Model

Decision Dynamics and Decision States in the Leaky Competing Accumulator Model. Jay McClelland Stanford University With Juan Gao, Marius Usher and others. A High-Stakes, Time-Critical Decision. A diffuse form is coming toward you rapidly: What should you do?

632 views • 51 slides

Using Time-Varying Motion Stimuli to Explore Decision Dynamics

Using Time-Varying Motion Stimuli to Explore Decision Dynamics. Marius Usher, Juan Gao, Rebecca Tortell, and James L. McClelland. Time-accuracy curves in the time-controlled paradigm. Easy. Medium. Hard. Curve for each condition is well fit by a shifted exponential approach to asymptote:

512 views • 38 slides

Quasi-Continuous Decision States in the Leaky Competing Accumulator Model

Quasi-Continuous Decision States in the Leaky Competing Accumulator Model. Jay McClelland Stanford University With Joel Lachter, Greg Corrado, and Jim Johnston as well as Juan Gao and Marius Usher. Is the rectangle longer toward the northwest or longer toward the northeast?.

470 views • 37 slides

Emergent Functions of Simple Systems

Emergent Functions of Simple Systems. J. L. McClelland Stanford University. Emergent probabilistic optimization in neural networks Relationship between competence/rational approaches and mechanistic (including connectionist) approaches

412 views • 25 slides

Jay McClelland

Dynamical Models of Decision Making Optimality, human performance, and principles of neural information processing. Jay McClelland Department of Psychology and Center for Mind Brain and Computation Stanford University. How do we make a decision given a marginal stimulus?.

228 views • 22 slides

Theory of Decision Time Dynamics, with Applications to Memory

280 views • 18 slides