Literature DB >> 10617370

Adaptive versus veridical decision making and the frontal lobes.

E Goldberg1, K Podell.   

Abstract

Adaptive decision making and veridical decision making are based on different mechanisms. Veridical decision making is based on the identification of the correct response, which is intrinsic to the external situation and is actor-independent. Adaptive decision making is actor-centered and is guided by the actor's priorities. The prefrontal cortex is particularly critical for adaptive decision making and less so for veridical decision making. However, most experimental procedures used in cognitive psychology and neuropsychology focus on veridical decision making and ignore adaptive decision making. Innovative experimental procedures are required to characterize the contribution of the prefrontal cortex to adaptive decision making. We have designed a prototype for such procedures, the Cognitive Bias Task, and present the novel findings generated by this task.

Entities:  

Mesh:

Year:  1999        PMID: 10617370     DOI: 10.1006/ccog.1999.0395

Source DB:  PubMed          Journal:  Conscious Cogn        ISSN: 1053-8100


  10 in total

1.  The cerebral response during subjective choice with and without self-reference.

Authors:  Sterling C Johnson; Taylor W Schmitz; Tisha N Kawahara-Baccus; Howard A Rowley; Andrew L Alexander; Jonghoon Lee; Richard J Davidson
Journal:  J Cogn Neurosci       Date:  2005-12       Impact factor: 3.225

2.  Neural basis of decision-making and assessment: issues on testability and philosophical relevance.

Authors:  Gabriel José Corrê Mograbi
Journal:  Mens Sana Monogr       Date:  2011-01

3.  Distinction between Externally vs. Internally Guided Decision-Making: Operational Differences, Meta-Analytical Comparisons and Their Theoretical Implications.

Authors:  Takashi Nakao; Hideki Ohira; Georg Northoff
Journal:  Front Neurosci       Date:  2012-03-05       Impact factor: 4.677

4.  Cognitive Processes in Decisions Under Risk are not the Same as in Decisions Under Uncertainty.

Authors:  Kirsten G Volz; Gerd Gigerenzer
Journal:  Front Neurosci       Date:  2012-07-12       Impact factor: 4.677

5.  The origins of options.

Authors:  Paul E Smaldino; Peter J Richerson
Journal:  Front Neurosci       Date:  2012-04-11       Impact factor: 4.677

6.  Relation between choice-induced preference change and depression.

Authors:  Madoka Miyagi; Makoto Miyatani; Takashi Nakao
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

7.  Computational modeling of choice-induced preference change: A Reinforcement-Learning-based approach.

Authors:  Jianhong Zhu; Junya Hashimoto; Kentaro Katahira; Makoto Hirakawa; Takashi Nakao
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

Review 8.  Hot Executive Function Assessment Instruments in Preschool Children: A Systematic Review.

Authors:  Vannia Mehsen; Lilian Morag; Sergio Chesta; Kristol Cleaton; Héctor Burgos
Journal:  Int J Environ Res Public Health       Date:  2021-12-23       Impact factor: 3.390

9.  Post-response βγ power predicts the degree of choice-based learning in internally guided decision-making.

Authors:  Takashi Nakao; Noriaki Kanayama; Kentaro Katahira; Misaki Odani; Yosuke Ito; Yuki Hirata; Reika Nasuno; Hanako Ozaki; Ryosuke Hiramoto; Makoto Miyatani; Georg Northoff
Journal:  Sci Rep       Date:  2016-08-31       Impact factor: 4.379

Review 10.  The Cognitive Neuroscience of Design Creativity.

Authors:  Leslee Lazar
Journal:  J Exp Neurosci       Date:  2018-10-31
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.