Evidence map›Paper›PMID 27479656›Full record

ReviewCurrent opinion in neurobiology2016

The hunt for the perfect discounting function and a reckoning of time perception.

Vijay Mk Namboodiri, Marshall G Hussain Shuler

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Dopamine and the interdependency of time perception and reward.Neuroscience and biobehavioral reviews · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Vijay Mk NamboodiriDepartment of Psychiatry and Neuroscience Center, University of North Carolina at Chapel Hill, 4109D Neuroscience Research Building, 115 Mason Farm Road, Chapel Hill, NC 27599, USA.
Marshall G Hussain ShulerDepartment of Neuroscience, Johns Hopkins University, Woods Basic Science Building, Rm 914, 725 North Wolfe Street, Baltimore, MD 21205, USA. Electronic address: shuler@jhmi.edu.

Funding

Learning temporal representations in cortex; mechanism and behavioral correlateR01MH093665 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SHULER, MARSHALL GILMER · 2012 to 2014
$1.2M
NIMH NIH HHS R01 MH093665
6 · The paper itself

Abstract

Making decisions that factor the cost of time is fundamental to survival. Yet, while it is readily appreciated that our perception of time is intimately involved in this process, theories regarding intertemporal decision-making and theories regarding time perception are treated, largely, independently. Even within these respective domains, models providing good fits to data fail to provide insight as to why, from a normative sense, those fits should take their apparent form. Conversely, normative models that proffer a rationalization for why an agent should weigh options in a particular way, or to perceive time in a particular way, fail to account for the full body of well-established experimental evidence. Here we review select, yet key advances in our understanding, identifying conceptual breakthroughs in the fields of intertemporal decision-making and in time perception, as well as their limits and failings in the face of hard-won experimental observation. On this background of accrued knowledge, a new conception unifying the domains of decision-making and time perception is put forward (Training-Integrated Maximization of Reinforcement Rate, TIMERR) to provide a better fit to observations and a more parsimonious reckoning of why we make choices, and thereby perceive time, the way we do.

Indexed as

Choice BehaviorDecision MakingHumansTime Perception

Identifiers

PMID27479656
PMCPMC5056825

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.