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Decision Making and Sequential Sampling from Memory.

Michael N Shadlen1, Daphna Shohamy2

  • 1Howard Hughes Medical Institute and Department of Neuroscience, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute and Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA.

Neuron
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Summary
This summary is machine-generated.

Difficult decisions take time, often due to evidence retrieval from memory. This research explores how memory recall influences decision-making speed and accuracy, aligning with sequential sampling models.

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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Psychology

Background:

  • Decision-making time correlates with difficulty.
  • Sequential sampling models explain decisions based on accumulating evidence to a threshold.
  • Existing models struggle with decisions not obviously based on sequential evidence.

Purpose of the Study:

  • To propose and explore the hypothesis that memory retrieval underlies the sequential nature of decisions.
  • To investigate the role of mnemonic processes in value-based decisions and decision time.
  • To link memory sampling to neural circuits for evidence accumulation.

Main Methods:

  • Theoretical modeling of decision-making processes.
  • Analysis of value-based decision tasks.
  • Speculation on neural mechanisms connecting memory and decision circuits.

Main Results:

  • Mnemonic processes can account for observed regularities in choice and decision time.
  • Memory retrieval can provide the sequential evidence characteristic of decision tasks.
  • The framework extends to decisions not obviously involving external evidence sampling.

Conclusions:

  • Memory retrieval is a key component of decision-making, even when not explicitly apparent.
  • Sequential sampling models can be expanded to incorporate memory processes.
  • This framework offers a unified explanation for decision time and choice regularities across various tasks.