Literature DB >> 25080159

Perceptual decision neurosciences - a model-based review.

M J Mulder1, L van Maanen2, B U Forstmann3.   

Abstract

In this review we summarize findings published over the past 10 years focusing on the neural correlates of perceptual decision-making. Importantly, this review highlights only studies that employ a model-based approach, i.e., they use quantitative cognitive models in combination with neuroscientific data. The model-based approach allows capturing latent decision-making processes such as strategic adjustments of response thresholds and relate these to interindividual differences or single-trial blood-oxygenated level dependent (BOLD) functional Magnetic Resonance Imaging (fMRI) responses. The review shows that different cortico-subcortical networks are responsive to different latent decision-making processes. More concretely, we show that evidence accumulation is associated with a fronto-parietal network which is partly overlapping with choice bias in perceptual decision making. The setting of decision thresholds is associated with fronto-basal ganglia networks which are also found for choice bias. In sum, we argue that the model-based approach holds great promises to understand the neural correlates of latent cognitive processes.
Copyright © 2014 IBRO. Published by Elsevier Ltd. All rights reserved.

Keywords:  Drift Diffusion Model; Linear Ballistic Accumulator; evidence accumulation model; fMRI

Mesh:

Year:  2014        PMID: 25080159     DOI: 10.1016/j.neuroscience.2014.07.031

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  52 in total

Review 1.  The importance of decision onset.

Authors:  Tobias Teichert; Jack Grinband; Vincent Ferrera
Journal:  J Neurophysiol       Date:  2015-11-25       Impact factor: 2.714

2.  Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection.

Authors:  Royce Anders; Stéphanie Riès; Leendert Van Maanen; F-Xavier Alario
Journal:  Cogn Neuropsychol       Date:  2017-03-01       Impact factor: 2.468

3.  Decoding vibrotactile choice independent of stimulus order and saccade selection during sequential comparisons.

Authors:  Yuan-Hao Wu; Lisa A Velenosi; Pia Schröder; Simon Ludwig; Felix Blankenburg
Journal:  Hum Brain Mapp       Date:  2018-12-18       Impact factor: 5.038

4.  Generalization in category learning: the roles of representational and decisional uncertainty.

Authors:  Carol A Seger; Kurt Braunlich; Hillary S Wehe; Zhiya Liu
Journal:  J Neurosci       Date:  2015-06-10       Impact factor: 6.167

Review 5.  A neural-based account of sequential bias during perceptual judgment.

Authors:  Shen-Mou Hsu
Journal:  Psychon Bull Rev       Date:  2021-03-19

6.  A generative joint model for spike trains and saccades during perceptual decision-making.

Authors:  Peter J Cassey; Garren Gaut; Mark Steyvers; Scott D Brown
Journal:  Psychon Bull Rev       Date:  2016-12

Review 7.  Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions.

Authors:  B U Forstmann; R Ratcliff; E-J Wagenmakers
Journal:  Annu Rev Psychol       Date:  2015-09-17       Impact factor: 24.137

8.  How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.

Authors:  Michael D Nunez; Joachim Vandekerckhove; Ramesh Srinivasan
Journal:  J Math Psychol       Date:  2016-04-11       Impact factor: 2.223

9.  The drift diffusion model as the choice rule in reinforcement learning.

Authors:  Mads Lund Pedersen; Michael J Frank; Guido Biele
Journal:  Psychon Bull Rev       Date:  2017-08

Review 10.  Diffusion Decision Model: Current Issues and History.

Authors:  Roger Ratcliff; Philip L Smith; Scott D Brown; Gail McKoon
Journal:  Trends Cogn Sci       Date:  2016-03-05       Impact factor: 20.229

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