The neural mechanisms of fast versus slow decision-making

Author:

Nashaat Mostafa,Oraby Hatem,Krasniqi Flutra,Goh-Sauerbier Sek Teng,Bosc Marion,Koerner Sandra,Karayel Sedef,Kepecs Adam,Larkum Matthew E.

Abstract

SummaryNot all decisions are created equal; factors such as the difficulties or associated costs affect the time spent to make decisions. This is variously interpreted as speed/accuracy, fast/slow, or impulsivity/deliberateness tradeoffs according to different models of behaviour1–5. Regardless, it is generally assumed that decision latency reflects the neural mechanisms underlying behavioural strategy and cognitive investment. However, such investigations have been difficult in mice which are consistently impulsive. Here, we show that manipulating cost, using a novel floating-platform paradigm, overcomes the natural impulsivity of mice, more closely matching human behaviour. Furthermore, this approach allowed us simultaneously to measure the flow of activity from medial to lateral frontal cortex (MFC→LFC) and record sequences of single neuron activity with 2-photon imaging. Surprisingly, MFC display a different mode of operation, with high vulnerability to optical inhibition compared to LFC. Furthermore, the balance in choice coding at the beginning of sequences in MFC correlated with trial history and behavioural strategy. We found that for optimal performance, slow sequences in MFC showed declining numbers of active neurons whereas the opposite was true in LFC. Our results suggest that while LFC acts as an integrative motor threshold, MFC plays a larger cognitive role in the selection and timing of decisions than previously thought. Our study offers a methodological and mechanistic framework in mouse frontal cortex to understand the neural basis of voluntary decision making.

Publisher

Cold Spring Harbor Laboratory

Reference57 articles.

1. Kahneman, D. Thinking, Fast and Slow. 499 (Farrar, Straus and Giroux, New York, NY, US, 2011).

2. Luce, D. Response Times: Their Role in Inferring Elementary Mental Organization. in (1986).

3. The Neural Basis of Decision Making

4. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.

5. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3