2019
DOI: 10.1016/j.concog.2019.01.012
|View full text |Cite
|
Sign up to set email alerts
|

Bayes, time perception, and relativity: The central role of hopelessness

Abstract: Time judgement and time experience are distinct elements of time perception. It is known that time experience tends to be slow, or dilated, when depressed, but there is less certainty or clarity concerning how depression affects time judgement. Here, we use a Bayesian Prediction Error Minimisation (PEM) framework called 'distrusting the present' as an explanatory and predictive model of both aspects of time perception. An interval production task was designed to probe and modulate the relationship between time… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
13
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 10 publications
(14 citation statements)
references
References 63 publications
1
13
0
Order By: Relevance
“…Importantly, this distinction also applies to temporal structure given the dissociation between functional moments of the salience network, mental presence of the central executive network, and experienced moment associated with the default mode network (Kent, 2019;Montemayor & Wittmann, 2014;Wittmann, 2011). They are also dissociated in Bayesian terms related to the sensory likelihood (salience), prior (central executive), and posterior (default mode) distributions and their relation to time perception, attention, and consciousness (Hohwy, 2012;Kent, Van Doorn, Hohwy, & Klein, 2019;.…”
Section: )mentioning
confidence: 99%
See 1 more Smart Citation
“…Importantly, this distinction also applies to temporal structure given the dissociation between functional moments of the salience network, mental presence of the central executive network, and experienced moment associated with the default mode network (Kent, 2019;Montemayor & Wittmann, 2014;Wittmann, 2011). They are also dissociated in Bayesian terms related to the sensory likelihood (salience), prior (central executive), and posterior (default mode) distributions and their relation to time perception, attention, and consciousness (Hohwy, 2012;Kent, Van Doorn, Hohwy, & Klein, 2019;.…”
Section: )mentioning
confidence: 99%
“…Hierarchical Bayesian perceptual inference requires the weighting and integration of sensory (i.e., likelihood distribution) and memory (i.e., prior distribution) information to decide upon the most likely perceptual observation (i.e., posterior distribution). While experimental modelling shows promise in terms of emotion regulation in depression (Kent, Van Doorn, Hohwy, et al, 2019), the 'distrusting the present' framework has only been tested in reference to temporal flow within the brief timescales of conscious experience (i.e., 1 second). However, the Bayesian approach could be generalised to contrast the relative weighting and integration of LTM and LLM, for example, to test the temporal flow of self-consciousness over much longer timeframes (i.e., days, weeks, and months).…”
Section: )mentioning
confidence: 99%
“…Approaches have already been made to give a relativistic dimension to brain mechanisms (Buhusi and Meck, 2009;Kent et al, 2019). The approach presented in this paper push further this view by formulating equations that could be used to approximate the time dilation between different situations.…”
Section: Relativistic View On Brain Mechanismsmentioning
confidence: 95%
“…From these models, the notion of subjective time emerged (Thönes and Stocker, 2019), which goes in pair with the assumption of the existence of an internal clock (Treisman, 1963;Church, 1984;Fayolle et al, 2015). Some models relate the psychology of time to physics theories (Buhusi and Meck, 2009;Kent et al, 2019;Ghaderi, 2019). In these latter models, ratios are used to interpret the acceleration or deceleration of time such as the ratio between hopelessness and the arousal (Kent et al, 2019) or the ratio between the entropy inside the brain and the entropy outside the brain (Ghaderi, 2019).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation