Mini Review ARTICLE
A Citation-Based Analysis and Review of Significant Papers on Timing and Time Perception
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
Time is an important dimension of brain function, but little is yet known about the underlying cognitive principles and neurobiological mechanisms. The field of timing and time perception has witnessed tremendous growth and multidisciplinary interest in the recent years with the advent of modern neuroimaging and neurophysiological approaches. In this article, I used a data mining approach to analyze the timing literature published by a select group of researchers (n = 202) during the period 2000–2015 and highlight important reviews as well as empirical articles that meet the criterion of a minimum of 100 citations. The qualifying articles (n = 150) are listed in a table along with key details such as number of citations, names of authors, year and journal of publication as well as a short summary of the findings of each study. The results of such a data-driven approach to literature review not only serve as a useful resource to any researcher interested in timing, but also provides a means to evaluate key papers that have significantly influenced the field and summarize recent progress and popular research trends in the field. Additionally, such analyses provides food for thought about future scientific directions and raises important questions about improving organizational structures to boost open science and progress in the field. I discuss exciting avenues for future research that have the potential to significantly advance our understanding of the neurobiology of timing, and propose the establishment of a new society, the Timing Research Forum, to promote open science and collaborative work within the highly diverse and multidisciplinary community of researchers in the field of timing and time perception.
Natural sounds have a rich temporal structure, in the form of sequences of sounds that rapidly change over time and result in dynamic states of perceptual organization. Natural sound sequences like speech and music form sequences of temporal intervals, often evoking the percept of a rhythm. How the brain processes time intervals and rhythmic sound sequences is an unresolved and challenging problem, given the absence of dedicated neural systems for encoding time.
William James was one of the first psychologists to recognize time as a “sensation,” and heralded a longstanding interest and debate on the nature of time perception and its underlying representation in the brain (James, 1890). William Gooddy, recognized the importance of motor structures for timing from a neurological perspective and suggested that they act as “observers” of time (Gooddy, 1958). Braitenberg (1967) proposed the cerebellum as an internal timekeeper and hypothesized that parallel fibers act as delay lines and provide a means to represent temporal patterns. In the 1970 and 1980s, electrophysiological studies led by Llinas, Cohen and colleagues revealed the specialization of the olivocerebellar circuits for temporal representation (Llinas et al., 1974; Llinás and Yarom, 1981; Welsh et al., 1995; see Yarom and Cohen, 2002 for a review). At the same time, fundamental properties of timing behavior like scalar property provided a theoretical foundation that formal models of an internal clock must address (Church, 1984; Gibbon et al., 1984). In the 1980s and 1990s, neuropsychological work in patients with disorders of the cerebellum and basal ganglia (e.g., Ataxia, Parkinson's) began to provide causal evidence for a role of these brain regions in perceptual and motor timing (Ivry et al., 1988; Ivry and Keele, 1989; Artieda et al., 1992; Pastor et al., 1992; Ivry, 1993; Nichelli et al., 1996).
In the last two decades, however, scientific interest and progress in understanding the neural codes and mechanisms underlying temporal processing has advanced rapidly, aided by technological developments in functional neuroimaging techniques like magnetic resonance imaging and magnetoencephalography; brain stimulation techniques like transcranial magnetic stimulation and transcranial current stimulation; as well as progress in neural recording methods with the development of dense multi-electrode arrays, two-photon calcium imaging, genetic and molecular biology tools including the use of novel experimental animals models and optogenetic targeting of specific cell-types for causal investigations amongst others. Our understanding of the neural mechanisms and circuits involved in temporal computations has significantly advanced through the use of these new technologies and continues to shed light on their underlying brain bases.
However, paralleling the recent advancements in the field is an exponential growth in research output in terms of more research articles, conference proceedings, and new journals. Therefore, unlike in the previous decades, a synthesis of the research advances in the field poses a significant challenge. Discovery of knowledge represents an acute problem with a low “signal-to-noise” threshold, and it is a veritable challenge for a new or even a current investigator in the field to assimilate new ideas and apply these concepts for designing innovative experimental paradigms.
In order to make sense of the progress in the field of timing and time perception in the last fifteen years, I have adopted a data-mining approach to identify key review articles and empirical papers, from a select group of authors that have significantly impacted research on the cognitive and neural principles of time perception. The process involved shortlisting a group of established researchers in the field of timing, and identifying articles published during the period 2000–2015 that have received a minimum of 100 citations. Each qualifying article (n = 150) from this group of authors (n = 202) is listed in Table 1 along with the number of citations, the rank of each article in terms of number of citations as well as number of citations normalized by time since publication, the names of the authors, the name of the journal, the year of publication, whether the article was an empirical study or a review, and a short summary of each article.
Table 1. List of 150 papers on timing and time perception from 2000 to present sorted according to the number of citations (minimum of 100 citations) in Google Scholar collated on 10 April, 2016 (see Section Key Papers on Timing and Time Perception for More Details).
Key Papers on Timing and Time Perception
To obtain a representative picture of the field, I examined research articles by a select group of experts on timing and time perception. These authors were selected on the basis of their contribution to the recent special issue on “Interval timing and skill learning: the multi sensory representation of Time and Action” published in the Current Opinion of Behavioral Sciences (Meck and Ivry, 2016; 75 authors) as well as on the basis of membership of the recently concluded European COST Action—Timely (http://www.timely-cost.eu/?q=members_list; 127 authors). These 202 authors represented research group all over the world (see Supplementary material B for the complete list of authors), and covered various aspects of timing research including psychophysics, neuroimaging, modeling, and electrophysiology in both humans and experimental animal models.
A number of metrics are commonly used to evaluate the quality and impact of research articles including impact factor, h-index, i-10 index amongst others. Although none of these bibliometrics represent an unbiased estimate of research impact nor are they accepted as standard across the scientific community, the number of citations represents a useful metric as it indicates the impact of a paper and how well the reported findings are accepted and circulated in the field. It is not an ideal measure, for the number of citations an article receives is often skewed by the impact factor of the journal. In order to draw reasonable conclusions about recent progress in the field, articles that were published from 2000 to 2015 and indexed in Google Scholar were considered eligible. Furthermore, to identify the most impactful papers (ideas), a threshold of a minimum of 100 citations was applied. As such a metric may be biased toward older papers than more recent articles, a measure based on the number of citations normalized by the number of years since publication was also considered. Although it is possible to design a more optimal multi-variate measure of research impact (based on number of citations, impact factor of journal or novel altmetrics including number of downloads, number of views and circulation in social media amongst other variables), that is not the motivation of the paper.
Using the above criteria, 150 papers were identified as listed in Table 1 (references of these papers in Supplementary material A; up-to-date as of April 10, 2016). These papers covered topics related to perception of time, rhythm, music, inter-sensory synchrony amongst others and used techniques including psychophysics, neuroimaging, electrophysiology and modeling. Out of the 150 papers, 52 papers were review articles (34.7% of all articles; marked with an asterisk next to the number of citations) that received an average of 271.7 citations (median: 183), i.e., one out of three prominent articles on timing in the last ten years were review articles that either summarized the current state of research or presented new hypotheses to drive the field forward. The remaining empirical papers, 98 in all (65.3% of all articles), received an average of 208 citations per paper (median: 157). Normalizing the number of citations by the number of years since publication to remove the bias due to the “age” of each article revealed a similar trend—review articles receive more citations (mean: 30.0; median: 21.8) than empirical papers (mean: 20.7; median: 16.5). A brief one-sentence summary of each study is also presented in the last column of Table 1, to provide the reader an informed basis to select relevant papers for more in-depth review.
There are several conclusions to be drawn from Table 1, for instance—review articles tend to dominate the field in terms of number of citations while only an average of six significant empirical papers are published every year (also see Supplementary material C, D, and E). Although many of these reviews are now “classic” in the field, even the most recent article in the table is a review (Merchant et al., 2013a; 184 citations). Among other things, this suggests that either the field is still in an embryonic stage where review articles by established researchers are needed to set the precedent on certain topics, or that the field of timing is too diverse, and represents the intersection of various sub-fields including time perception, rhythm perception, music perception, temporal coding, inter sensory asynchrony, motor timing and coordination, that is reflected in the diversity of topics covered by the review articles.
It is not clear whether a similar analysis of the most recent and highly cited papers in other prominent fields like memory, vision, or decision-making will yield similar trends, e.g., ratio of reviews to empirical studies but one could make a null hypothesis that such a ratio may be smaller than for the highly diverse and multidisciplinary field of timing. Alternatively, compared to research topics like vision and memory that have been intensely studied for several decades, the field of timing is still in a nascent stage and does not boast of a large research community as evidenced by the number of specialist journals on timing, or number of exclusive workshops and meetings dedicated to timing research.
Apart from organizational considerations, there are several new scientific directions that the field can and should embrace to achieve a more comprehensive understanding of the neurobiology of natural timing behavior. Animal models of timing focused on core timing networks including the basal ganglia, cerebellum, premotor and parietal cortex (Grahn, 2012; Schneider and Ghose, 2012; Teki et al., 2012; Merchant et al., 2013a; Allman et al., 2014; Hayashi et al., 2015) will be key to understanding the encoding of time by neuronal ensembles. Such a line of work has been recently pioneered by Merchant and colleagues in rhesus macaques that combines timing behaviors and the examination of the underlying neuronal code in the basal ganglia (Merchant et al., 2011, 2013b; Bartolo et al., 2014; Bartolo and Merchant, 2015). Recent work by Mello et al. (2015) and Gouvêa et al. (2015) further demonstrated that a population code for time exists in the striatum that scales with the interval being timed and multiplexes information about action as well as time. Optogenetic approaches in specific identified cells in animal models will yield crucial insights into the causal role of such mechanisms and their impact on timing behavior (Grosenick et al., 2015). For instance, a recent study by Chen et al. (2014) reported rapid modulation of striatal activity by the cerebellum via a disynaptic pathway that has implications for the coordinated processing of temporal information in these two core timing areas.
The other dominant view of timing is that time is not based on the computations in dedicated circuits but rather represents the output of intrinsic neuronal dynamics (Karmarkar and Buonomano, 2007). In this respect, the activity of sensory areas including auditory, visual, and somatosensory cortices merits further attention. Combining optogenetics and single-unit recordings in primary visual cortex (V1), Hussain Shuler and colleagues have recently provided novel insights into how basal forebrain cholinergic input to V1 provides a teaching signal to modulate the response dynamics of V1 so that cues predictive of given delays to future reward produce responses that express those learned delays (Chubykin et al., 2013; Liu et al., 2015), that those responses reflect learned reward timing (Shuler and Bear, 2006; Zold and Hussain Shuler, 2015) and inform visually-cued timing (Namboodiri et al., 2015). Similar work in other sensory domains such as audition will enable us to decipher the multi-sensory representation of time and action during adaptive behaviors such as speech and movement. Further neurophysiological work using high channel-count electrophysiology (n ~ 400–1000) based on new Silicon probes based on CMOS technology (e.g., Berényi et al., 2014; Lopez et al., 2016) or mesoscopic analysis of timing behavior across different cortical layers and multiple brain areas using multi-plane calcium imaging may further shed new light on the underlying circuit-level cortical computations (Yang et al., 2016).
Apart from adopting the latest technological tools and genetic probes, a fundamental understanding of timing can be obtained by designing more naturalistic tasks that use ecological stimuli that are meaningful to the experimental subject in the real world. Naturalistic sequences with variable temporal structure (Teki et al., 2011; Teki and Griffiths, 2014, 2016) that go beyond the traditional use of single intervals may yield novel insights into the encoding of time as well as associated motor behaviors (Kornysheva and Diedrichsen, 2014). Table 1 and the reviews therein highlight that timing is not mediated by a single brain area but rather involves a distributed network (Meck, 2005) in cortical and subcortical areas including prefrontal, parietal, premotor and sensory cortices, insula, basal ganglia, cerebellum, inferior olive amongst others. To formulate a unified theory of how timing is mediated by these structures, it is also important to understand the core functions of these areas and what particular aspect of timing they mediate, whether it is related to perception, attention, or memory. The use of comparative paradigms in healthy human volunteers as well as clinical populations that show timing deficits such as patients with Parkinson's, Huntington's, Schizophrenia amongst others will provide a more uniform understanding of timing functions and dysfunctions in health and disease (Allman and Meck, 2012). An identical approach (and even the use of similar paradigms) in animal models via use of control animals as well as lesion or knock-out models will complement findings from the human literature and provide a more generic understanding of the neural computations and circuits that underlie timing.
In order to drive more impactful experimental work, the field of timing needs to attract young researchers which would require more concerted efforts from the entire timing community. A recent positive step in this direction was marked by the launch of a specialist journal for timing, Timing and Time Perception (Meck et al., 2013) as well as its corresponding review journal, Timing and Time Perception Reviews. Another step forward would be the launch of an academic society exclusively for researchers in timing that would promote interdisciplinary exchange of ideas amongst researchers with diverse interests in timing via annual conferences that draw on a range of methods from purely behavioral to neurophysiological and neuroanatomical measures; share pertinent news and information like grant funding calls, new papers, job opportunities for doctoral and postdoctoral candidates, workshops and training opportunities; and promote the career development of young researchers through grants for short cross-disciplinary collaborations or exchange visits and funding for attending conferences and mentoring support.
Although there already exist a few scientific societies and communities relevant to timing like the Society for Music Perception and Cognition (SPMC: http://www.musicperception.org), Rhythm Perception and Production Workshop (RPPW: http://rppw.org), European Society for Cognitive Sciences of Music (ESCOM: http://escom2015.org), Society for Education, Music and Psychology Research (SEMPRE: http://www.sempre.org.uk), Deutsche Gesellschaft fur Musikpsychologie (DGM: http://www.music-psychology.de), Asia-Pacific Society for the Cognitive Sciences of Music, Fondazione Mariani (http://fondazione-mariani.org/) that organizes the NeuroMusic conferences, their scope is limited to music perception and psychology, and do not cover all aspects of timing and time perception. Society for Neuroscience (SfN) represents the primary venue where timing researchers gather for structured symposia on human and animal timing research but the scientific discussions are limited given the busy nature of SfN meetings. A recent example of such a successful academic organization for a diverse topic of research is the Society for the Neurobiology of Language (http://www.neurolang.org/) funded by the National Institutes of Health, which since its inception in 2009, attracts more than 400 researchers for its annual conferences. To address the absence of an association of researchers working on all aspects of timing, Argiro Vatakis and I have established a new timing society to promote open science and collaboration—the “Timing Research Forum” (http://timingforum.org).
Irrespective of the present state of affairs, the field of timing and time perception represents a promising and exciting field of research that is growing every year in terms of number of researchers and scientific output, and one where new students and researchers may find a relatively unexplored topic of research and make a significant impact on the field.
The author confirms being the sole contributor of this work and approved it for publication.
ST is funded by the Wellcome Trust (WT106084/Z/14/Z; Sir Henry Wellcome Postdoctoral Fellowship).
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
I thank Anu Chowdhry for help with compiling the list of papers in Table 1.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fnins.2016.00330
Metrics data presented in Table 1 are available to download as a .mat file from Figshare:
Allman, M. J., Teki, S., Griffiths, T. D., and Meck, W. H. (2014). Properties of the internal clock: first- and second-order principles of subjective time. Annu. Rev. Psychol. 65, 743–771. doi: 10.1146/annurev-psych-010213-115117
Bartolo, R., and Merchant, H. (2015). β oscillations are linked to the initiation of sensory-cued movement sequences and the internal guidance of regular tapping in the monkey. J. Neurosci. 35, 4635–4640. doi: 10.1523/JNEUROSCI.4570-14.2015
Bartolo, R., Prado, L., and Merchant, H. (2014). Information processing in the primate basal ganglia during sensory-guided and internally driven rhythmic tapping. J. Neurosci. 34, 3910–3923. doi: 10.1523/JNEUROSCI.2679-13.2014
Berényi, A., Somogyvári, Z., Nagy, A. J., Roux, L., Long, J. D., Fujisawa, S., et al. (2014). Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. J. Neurophysiol. 111, 1132–1149. doi: 10.1152/jn.00785.2013
Hayashi, M. J., Ditye, T., Harada, T., Hashiguchi, M., Sadato, N., Carlson, S., et al. (2015). Time adaptation shows duration selectivity in the human parietal cortex. PLoS Biol. 13:e1002262. doi: 10.1371/journal.pbio.1002296
Liu, C.-H., Coleman, J. E., Davoudi, H., Zhang, K., and Hussain Shuler, M. G. (2015). Selective activation of a putative reinforcement signal conditions cued interval timing in primary visual cortex. Curr. Biol. 25, 1551–1561. doi: 10.1016/j.cub.2015.04.028
Llinás, R., and Yarom, Y. (1981). Electrophysiology of mammalian inferior olivary neurons in vitro. Different types of voltage-dependent ionic conductances. J. Physiol. 315, 549–567. doi: 10.1113/jphysiol.1981.sp013763
Lopez, C. M., Mitra, S., Putzeys, J., Raducanu, B., Ballini, M., Andrei, A., et al. (2016). 22.7 A 966-Electrode Neural Probe with 384 Configurable Channels in 0.13μm SOI CMOS (IEEE publication), 392–393.
Merchant, H., Pérez, O., Zarco, W., and Gámez, J. (2013b). Interval tuning in the primate medial premotor cortex as a general timing mechanism. J. Neurosci. 33, 9082–9096. doi: 10.1523/JNEUROSCI.5513-12.2013
Merchant, H., Zarco, W., Pérez, O., Prado, L., and Bartolo, R. (2011). Measuring time with different neural chronometers during a synchronization-continuation task. Proc. Natl. Acad. Sci. U.S.A. 108, 19784–19789. doi: 10.1073/pnas.1112933108
Namboodiri, V. M. K., Huertas, M. A., Monk, K. J., Shouval, H. Z., and Hussain Shuler, M. G. (2015). Visually cued action timing in the primary visual cortex. Neuron 86, 319–330. doi: 10.1016/j.neuron.2015.02.043
Teki, S., Grube, M., and Griffiths, T. D. (2012). A unified model of time perception accounts for duration-based and beat-based timing mechanisms. Front. Integr. Neurosci. 5:90. doi: 10.3389/fnint.2011.00090
Teki, S., Grube, M., Kumar, S., and Griffiths, T. D. (2011). Distinct neural substrates of duration-based and beat-based auditory timing. J. Neurosci. 31, 3805–3812. doi: 10.1523/JNEUROSCI.5561-10.2011
Yang, W., Miller, J.-E. K., Carrillo-Reid, L., Pnevmatikakis, E., Paninski, L., Yuste, R., et al. (2016). Simultaneous multi-plane imaging of neural circuits. Neuron 89, 269–284. doi: 10.1016/j.neuron.2015.12.012
Keywords: timing, time perception, rhythm perception, music perception, interval timing, temporal processing, citations, bibliometrics
Citation: Teki S (2016) A Citation-Based Analysis and Review of Significant Papers on Timing and Time Perception. Front. Neurosci. 10:330. doi: 10.3389/fnins.2016.00330
Received: 12 April 2016; Accepted: 30 June 2016;
Published: 15 July 2016.
Edited by:Andrea Ravignani, Vrije Universiteit Brussel, Belgium
Reviewed by:Warren H. Meck, Duke University, USA
Marshall Gilmer Hussain Shuler, Johns Hopkins University, USA
Copyright © 2016 Teki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sundeep Teki, firstname.lastname@example.org