4.8 Article

Confidence predicts speed-accuracy tradeoff for subsequent decisions

Journal

ELIFE
Volume 8, Issue -, Pages -

Publisher

ELIFE SCIENCES PUBLICATIONS LTD
DOI: 10.7554/eLife.43499

Keywords

-

Categories

Funding

  1. Fonds Wetenschappelijk Onderzoek FWO
  2. Economic and Social Research Council
  3. Wellcome
  4. Deutsche Forschungsgemeinschaft [DO 1240/2-1, DO 1240/3-1, SFB 936/A7]
  5. Fonds Wetenschappelijk Onderzoek [G010419N]

Ask authors/readers for more resources

When external feedback about decision outcomes is lacking, agents need to adapt their decision policies based on an internal estimate of the correctness of their choices (i.e., decision confidence). We hypothesized that agents use confidence to continuously update the tradeoff between the speed and accuracy of their decisions: When confidence is low in one decision, the agent needs more evidence before committing to a choice in the next decision, leading to slower but more accurate decisions. We tested this hypothesis by fitting a bounded accumulation decision model to behavioral data from three different perceptual choice tasks. Decision bounds indeed depended on the reported confidence on the previous trial, independent of objective accuracy. This increase in decision bound was predicted by a centro-parietal EEG component sensitive to confidence. We conclude that internally computed neural signals of confidence predict the ongoing adjustment of decision policies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Psychology, Experimental

Math anxiety relates positively to metacognitive insight into mathematical decision making

Kobe Desender, Delphine Sasanguie

Summary: This study explored the interrelations between mathematics anxiety, metacognition, and mathematical decision-making using an experimental task. Findings suggest that prospective confidence in decision-making is based on easily available cues, while anxiety negatively relates to overall confidence and positively relates to metacognitive efficiency. Understanding these relationships is important for addressing mathematics anxiety and the global demand for STEM workers.

PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG (2022)

Article Computer Science, Artificial Intelligence

Using top-down modulation to optimally balance shared versus separated task representations

Pieter Verbeke, Tom Verguts

Summary: Research has found that finding the optimal balance between shared and separated neural representations is a crucial challenge. The multiplicative adaptive modulation network outperformed others in terms of task accuracy and developed hidden units that optimally share representations between tasks.

NEURAL NETWORKS (2022)

Article Biochemical Research Methods

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

Cristian Buc Calderon, Tom Verguts, Michael J. Frank

Summary: Human cognition is characterized by the ability to adaptively produce precise spatiotemporal sequences given a certain context. Existing neural network models fail to account for these properties due to the limitation of storing sequence and timing information in the same neural network weights. The ACDC model introduced in this study modularly stores sequence and timing information in distinct loci of the network, enabling a wide range of temporal properties and flexible learning and performance abilities.

PLOS COMPUTATIONAL BIOLOGY (2022)

Article Psychology, Multidisciplinary

Time-Based Binding as a Solution to and a Limitation for Flexible Cognition

Mehdi Senoussi, Pieter Verbeke, Tom Verguts

Summary: The limitation in working memory storage capacity is a result of time-based binding, which is essential for flexible cognition. This theory is supported by simulations and empirical evidence, distinguishing it from other resource theories.

FRONTIERS IN PSYCHOLOGY (2022)

Article Neurosciences

Partially overlapping neural correlates of metacognitive monitoring and metacognitive control

Annika Boldt, Sam J. Gilbert

Summary: Research investigated the relationship between metacognitive monitoring and metacognitive control, finding that brain patterns partially overlap in monitoring and control.

JOURNAL OF NEUROSCIENCE (2022)

Article Psychology, Biological

Theta oscillations shift towards optimal frequency for cognitive control

Mehdi Senoussi, Pieter Verbeke, Kobe Desender, Esther De Loof, Durk Talsma, Tom Verguts

Summary: This study reveals that the peak frequency of theta oscillations shifts adaptively in response to task demands, supporting flexible task implementation. The frequency shift is associated with behavioral performance.

NATURE HUMAN BEHAVIOUR (2022)

Article Multidisciplinary Sciences

Dynamic influences on static measures of metacognition

Kobe Desender, Luc Vermeylen, Tom Verguts

Summary: The authors find that current measures of metacognition are confounded with response caution and propose an alternative dynamic measure. They show a relationship between response caution and the popular measure of metacognition, M-ratio. Additionally, they demonstrate that using a dynamic measure, v-ratio, can avoid the impact of the speed-accuracy tradeoff in metacognition assessment.

NATURE COMMUNICATIONS (2022)

Review Psychology, Mathematical

Outsourcing Memory to External Tools: A Review of 'Intention Offloading'

Sam J. Gilbert, Annika Boldt, Chhavi Sachdeva, Chiara Scarampi, Pei-Chun Tsai

Summary: This article discusses how we remember delayed intentions and focuses on the role of intention offloading, as well as the decision-making process between storing intentions in internal memory and using external reminders. The article also reviews the changes in intention offloading across the lifespan and its relationship with underlying brain mechanisms.

PSYCHONOMIC BULLETIN & REVIEW (2023)

Article Neurosciences

Modulating hierarchical learning by high-definition transcranial alternating current stimulation at theta frequency

Meng Liu, Wenshan Dong, Yiling Wu, Pieter Verbeke, Tom Verguts, Qi Chen

Summary: Considerable evidence suggests that the dorsolateral prefrontal cortex (DLPFC) plays a crucial role in hierarchical learning. This study investigated the causal relationship between frontal theta oscillations and hierarchical learning. The findings show that theta stimulation can modulate the low-level learning rate and that environmental features may influence the effect of theta stimulation.

CEREBRAL CORTEX (2023)

Article Biochemical Research Methods

Obsessive-compulsive disorder is characterized by decreased Pavlovian influence on instrumental behavior

Ziwen Peng, Luning He, Rongzhen Wen, Tom Verguts, Carol A. Seger, Qi Chen

Summary: This study investigates the cognitive and computational mechanisms underlying the influence of Pavlovian cues on instrumental behavior in OCD patients and healthy controls. The results indicate a weaker Pavlovian influence on instrumental behavior in OCD patients, especially when negative cues associated with punishment are present. This study provides deeper insight into our understanding of deficits in OCD from the perspective of Pavlovian influences on instrumental behavior and may have implications for OCD treatment modalities focused on reducing compulsive behaviors.

PLOS COMPUTATIONAL BIOLOGY (2022)

Article Psychology, Developmental

Evidence for an age-related decline in feature-based attention

Armien Lanssens, Kobe Desender, Celine R. Gillebert

Summary: This study compared the differences in attentional guidance between young and older participants. The results showed that older participants had a more pronounced decline in the ability to filter out distracters compared to young participants.

AGING NEUROPSYCHOLOGY AND COGNITION (2023)

Article Psychology, Mathematical

How much data do we need to estimate computational models of decision-making? The COMPASS toolbox

Maud Beeckmans, Pieter Huycke, Tom Verguts, Pieter Verbeke

Summary: The standard approach of carrying out a goodness-of-recovery study to determine the amount of data needed for useful parameter estimations from a computational model may not always be optimal. This paper proposes a novel approach using a generalized concept of statistical power and a Python-based toolbox to determine the required data size for parameter estimates. Simulations indicate that a high number of trials per person is necessary for high-powered studies in a specific computational model.

BEHAVIOR RESEARCH METHODS (2023)

Article Psychology, Experimental

Neural Representations of Task Context and Temporal Order During Action Sequence Execution

Danesh Shahnazian, Mehdi Senoussi, Ruth M. Krebs, Tom Verguts, Clay B. Holroyd

Summary: In this study, a data-driven approach was used to reanalyze a task involving coffee and tea making, revealing the involvement of the inferior-temporal gyrus and lateral prefrontal cortex in maintaining temporal and contextual information for hierarchically organized action sequences. Additionally, temporal information appears to be more strongly encoded in areas over the left hemisphere.

TOPICS IN COGNITIVE SCIENCE (2022)

No Data Available