The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Cognitive emissions of 1/f noise.
Abstract
The residual fluctuations that naturally arise in experimental inquiry are analyzed in terms of their time histories. Although these fluctuations are generally relegated to a statistical purgatory known as unexplained variance, this article shows that they may harbor a long-term memory process known as 1/f noise. This type of noise has been encountered in a number of biological and physical systems and is theorized to be a signature of dynamic complexity. Its presence in psychological data appears to be associated with the most elementary aspect of cognitive process, the formation of representations.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, coherent spontaneous activity appears to be an important source of trial-to-trial variability in measured brain responses (42,43) and may relate to the trialto-trial variability commonly observed in human behavior (44).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [44]
Citations
Cites
Savitzky-Golay Smoothing Filters
Press, W. H., & Teukolsky, S. A. (1990) · Computers in Physics · doi:10.1063/1.4822961 · Cited by 11,851
Self-organized criticality: An explanation of the 1/ f noise
Bak, P., Tang, C., & Wiesenfeld, K. A. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,644
Bak, P., Tang, C., & Wiesenfeld, K. A. (1988) · Physical Review A · doi:10.1103/physreva.38.364 · Cited by 4,744
(1989) · Long Range Planning · doi:10.1016/0024-6301(89)90186-6 · Cited by 3,449
Bak, P. (1996) · Springer eBooks · doi:10.1007/978-1-4757-5426-1 · Cited by 2,830
Statistics for Long-Memory Processes.
Ray, W. D., & Beran, J. (1996) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983481 · Cited by 2,716
Gleick, J., Goodwin, B. M., Stewart, I., & Hanson, B. E. (1987) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,707
Intermittent transition to turbulence in dissipative dynamical systems
Yves Pomeau, A., & Manneville, P. (1980) · Communications in Mathematical Physics · doi:10.1007/bf01197757 · Cited by 2,032
Stelmach, G. E., & Requin, J. (1980) · Advances in psychology · doi:10.1016/s0166-4115(08)x6078-9 · Cited by 1,705
Mental Images and Their Transformations
D., C. P., Shepard, R. N., & Cooper, L. A. (1983) · The American Journal of Psychology · doi:10.2307/1422825 · Cited by 1,689
Research works printed but not linked: 3
- Hays, 1988, Statistics.
- Luce, 1986, Response times.
- Press, 1992, Numerical recipes.
Cited by
Sorted by citations
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Sensorimotor synchronization: A review of the tapping literature
Repp, B. H. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03206433 · Cited by 1,522
A Comparison of Sequential Sampling Models for Two-Choice Reaction Time.
Ratcliff, R., & Smith, P. L. (2004) · Psychological Review · doi:10.1037/0033-295x.111.2.333 · Cited by 1,288
Emergent complex neural dynamics
Chialvo, D. R. (2010) · Nature Physics · doi:10.1038/nphys1803 · Cited by 1,165
The Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990
Scale-free brain activity: past, present, and future
He, B. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.003 · Cited by 827
Intrinsic Fluctuations within Cortical Systems Account for Intertrial Variability in Human Behavior
Fox, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.023 · Cited by 773
Self-organization of cognitive performance.
Van Orden, G. C., Holden, J. G., & Turvey, M. T. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.3.331 · Cited by 718
Very Slow Activity Fluctuations in Monkey Visual Cortex: Implications for Functional Brain Imaging
Leopold, D. A. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.4.422 · Cited by 675
A century of Gestalt psychology in visual perception: II. Conceptual and theoretical foundations.
Wagemans, J. P., Feldman, J., Gepshtein, S., Kimchi, R., Pomerantz, J. R., van der Helm, P. A., & van Leeuwen, C. (2012) · Psychological Bulletin · doi:10.1037/a0029334 · Cited by 595
An EZ-diffusion model for response time and accuracy
Wagenmakers, E., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194023 · Cited by 586
Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations
Hardstone, R., Poil, S., Schiavone, G., Jansen, R., Nikulin, V. V., Mansvelder, H. D., & Linkenkaer‐Hansen, K. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00450 · Cited by 536
Vanhatalo, S., Palva, J. M., Holmes, M., Miller, J. W., Voipio, J., & Kaila, K. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305375101 · Cited by 517
An accumulator model for spontaneous neural activity prior to self-initiated movement
Schurger, A., Sitt, J. D., & Dehaene, S. (2012) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1210467109 · Cited by 470
Palva, J. M., Zhigalov, A., Hirvonen, J., Korhonen, O., Linkenkaer‐Hansen, K., & Palva, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216855110 · Cited by 472
Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task
He, B. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2111-11.2011 · Cited by 444
Poil, S., Hardstone, R., Mansvelder, H. D., & Linkenkaer‐Hansen, K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5990-11.2012 · Cited by 397
Fractals in Physiology and Medicine
Sturmberg, J. P., & West, B. J. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4998-0_11 · Cited by 381
Fractal analyses for ‘short’ time series: A re-assessment of classical methods
Delignières, D., Ramdani, S., Lemoine, L., Torre, K., Fortes, M., & Ninot, G. (2006) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2006.07.004 · Cited by 327
Spontaneous local variations in ongoing neural activity bias perceptual decisions
Hesselmann, G., Kell, C. A., Eger, E., & Kleinschmidt, A. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712043105 · Cited by 333
Estimation and interpretation of 1/fα noise in human cognition
Wagenmakers, E., Farrell, S., & Ratcliff, R. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196615 · Cited by 305
An integrated model of cognitive control in task switching.
Altmann, E. M., & Gray, W. D. (2008) · Psychological Review · doi:10.1037/0033-295x.115.3.602 · Cited by 315
Mix, a program for pseudorandomization
van Casteren, M., & Davis, M. H. (2006) · Behavior Research Methods · doi:10.3758/bf03193889 · Cited by 294
Pulse and Meter as Neural Resonance
Large, E. W., & Snyder, J. S. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04550.x · Cited by 284
Global waves synchronize the brain’s functional systems with fluctuating arousal
Raut, R. V., Snyder, A. Z., Mitra, A., Yellin, D., Fujii, N., Malach, R., & Raichle, M. E. (2021) · Science Advances · doi:10.1126/sciadv.abf2709 · Cited by 267
Ongoing dynamics in large-scale functional connectivity predict perception
Sadaghiani, S., Poline, J., Kleinschmidt, A. K., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420687112 · Cited by 258
Nonlinear pedagogy: Learning design for self-organizing neurobiological systems
Chow, J. Y., Davids, K., Hristovski, R., Araújo, D., & Passos, P. (2010) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2010.10.001 · Cited by 259
Interaction-dominant dynamics in human cognition: Beyond 1/ƒα fluctuation.
Ihlen, E. A. F., & Vereijken, B. (2010) · Journal of Experimental Psychology General · doi:10.1037/a0019098 · Cited by 251
Fractals in the nervous system: conceptual implications for theoretical neuroscience
Werner, G. (2010) · Frontiers in Physiology · doi:10.3389/fphys.2010.00015 · Cited by 252
Human Cognition and 1/f Scaling.
Orden, G. C. V., Holden, J. G., & Turvey, M. T. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.1.117 · Cited by 237
The impact of study design on pattern estimation for single-trial multivariate pattern analysis
Mumford, J. A., Davis, T., & Poldrack, R. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.026 · Cited by 237
The relation of ongoing brain activity, evoked neural responses, and cognition
Sadaghiani, S. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00020 · Cited by 242
The emergent coordination of cognitive function.
Kello, C. T., Beltz, B. C., Holden, J. G., & Orden, G. C. V. (2007) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.136.4.551 · Cited by 234
Intrinsic brain activity sets the stage for expression of motivated behavior
Raichle, M. E., & Gusnard, D. A. (2005) · The Journal of Comparative Neurology · doi:10.1002/cne.20752 · Cited by 224
Fractal physiology and the fractional calculus: a perspective
West, B. J. (2010) · Frontiers in Physiology · doi:10.3389/fphys.2010.00012 · Cited by 225
The cave of shadows: Addressing the human factor with generalized additive mixed models
Baayen, R. H., Vasishth, S., Kliegl, R. M., & Bates, D. M. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2016.11.006 · Cited by 238
Full-band EEG (FbEEG): an emerging standard in electroencephalography
Vanhatalo, S., Voipio, J., & Kaila, K. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.09.015 · Cited by 196
Dispersion of response times reveals cognitive dynamics.
Holden, J. G., Orden, G. C. V., & Turvey, M. T. (2009) · Psychological Review · doi:10.1037/a0014849 · Cited by 193
Macdonald, J. S. P., Mathan, S. A., & Yeung, N. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00082 · Cited by 186
Quicker, Faster, Darker: Changes in Hollywood Film over 75 Years
Cutting, J. E., Brunick, K. L., DeLong, J. E., Iricinschi, C., & Şimşek, A. C. (2011) · i-Perception · doi:10.1068/i0441aap · Cited by 174
1/ f Neural Noise and Electrophysiological Indices of Contextual Prediction in Normative Aging
Dave, S., Brothers, T. A., & Swaab, T. Y. (2017) · Brain Research · doi:10.1016/j.brainres.2018.04.007 · Cited by 180
Palva, J. M., & Palva, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.060 · Cited by 163
Dynamics of representational change: Entropy, action, and cognition.
Kelty‐Stephen, D. G., Dixon, J. A., & Isenhower, R. W. (2009) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0014510 · Cited by 161
Fiedler, K. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691616654458 · Cited by 185
Toward a computational model of expression in music performance: The GERM model
Juslin, P. N., Friberg, A., & Bresin, R. (2001) · Musicae Scientiae · doi:10.1177/10298649020050s104 · Cited by 161
Oscillatory multiplexing of neural population codes for interval timing and working memory
Gu, B.-M., van Rijn, H., & Meck, W. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.008 · Cited by 164
Attention and the Evolution of Hollywood Film
Cutting, J. E., DeLong, J. E., & Nothelfer, C. E. (2010) · Psychological Science · doi:10.1177/0956797610361679 · Cited by 166
Jones, A. D., CHO, R. Y., Nystrom, L. E., COHEN, J. D., & Braver, T. S. (2002) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.2.4.300 · Cited by 160
The pervasiveness of 1/f scaling in speech reflects the metastable basis of cognition
Kello, C. T., Anderson, G. G., Holden, J. G., & Van Orden, G. C. (2008) · Cognitive Science · doi:10.1080/03640210801944898 · Cited by 151
Models and Properties of Power-Law Adaptation in Neural Systems
Drew, P. J., & Abbott, L. F. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00134.2006 · Cited by 150
Chen, Y., Repp, B. H., & Patel, A. D. (2002) · Human Movement Science · doi:10.1016/s0167-9457(02)00138-0 · Cited by 150
Contemporary theories of 1/f noise in motor control
Diniz, A., Wijnants, M. L., Torre, K., Barreiros, J., Crato, N., Bosman, A. M. T., Hasselman, F., Cox, R. F. A., Orden, G. C. V., & Delignières, D. (2011) · Human Movement Science · doi:10.1016/j.humov.2010.07.006 · Cited by 142
Beyond Trial-Based Paradigms: Continuous Behavior, Ongoing Neural Activity, and Natural Stimuli
Huk, A. C., Bonnen, K., & He, B. J. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1920-17.2018 · Cited by 149
Intraindividual Variability in ADHD and Its Implications for Research of Causal Links
Kuntsi, J., & Klein, C. (2011) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2011_145 · Cited by 138
Signal detection with criterion noise: Applications to recognition memory.
Benjamin, A. S., Diaz, M., & Wee, S. (2009) · Psychological Review · doi:10.1037/a0014351 · Cited by 137
An Anatomically Constrained, Stochastic Model of Eye Movement Control in Reading.
McDonald, S. A., Carpenter, R. H. S., & Shillcock, R. C. (2005) · Psychological Review · doi:10.1037/0033-295x.112.4.814 · Cited by 140
Wang, D. J. J., Jann, K., Fan, C., Qiao, Y., Zang, Y., Lu, H., & Yang, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00352 · Cited by 140
Formalizing Neurath’s ship: approximate algorithms for online causal learning.
Bramley, N. R., Dayan, P., Griffiths, T. L., & Lagnado, D. A. (2017) · Psychological Review · doi:10.1037/rev0000061 · Cited by 136
Strong anticipation: complexity matching in interpersonal coordination
Marmelat, V., & Delignières, D. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3202-9 · Cited by 134
Expression And Communication of Emotion in Music Performance
Juslin, P. N., & Timmers, R. (2010) · doi:10.1093/acprof:oso/9780199230143.003.0017 · Cited by 134
The dynamics of insight: Mathematical discovery as a phase transition
Kelty‐Stephen, D. G., Boncoddo, R., Magnuson, J. S., & Dixon, J. A. (2009) · Memory & Cognition · doi:10.3758/mc.37.8.1132 · Cited by 133
Juslin, P. N. (2019) · doi:10.1093/oso/9780198753421.001.0001 · Cited by 216
Wagenmakers, E., Farrell, S., & Ratcliff, R. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.1.108 · Cited by 131
Time intervals production in tapping and oscillatory motion
Delignières, D., Lemoine, L., & Torre, K. (2004) · Human Movement Science · doi:10.1016/j.humov.2004.07.001 · Cited by 127
Orden, G. C. V., Kloos, H., & Wallot, S. (2011) · Elsevier eBooks · doi:10.1016/b978-0-444-52076-0.50022-5 · Cited by 146
Provenance of correlations in psychological data
Thornton, T. L., & Gilden, D. L. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03193785 · Cited by 127
Self-citationDetecting and predicting changes
Brown, S. D., & Mark Steyvers, B. (2008) · Cognitive Psychology · doi:10.1016/j.cogpsych.2008.09.002 · Cited by 129
Smith, T. J., Levin, D. T., & Cutting, J. E. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721412437407 · Cited by 122
Strong anticipation: Multifractal cascade dynamics modulate scaling in synchronization behaviors
Kelty‐Stephen, D. G., & Dixon, J. A. (2011) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2011.01.005 · Cited by 117
The fractal dynamics of self-esteem and physical self.
Delignières, D., Fortes, M., & Ninot, G. (2004) · PubMed · Cited by 116
Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics
Damm, L., Varoqui, D., Cock, V. C. D., Bella, S. D., & Bardy, B. G. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.12.024 · Cited by 121
Neural timescales or lack thereof
Marom, S. (2009) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.10.003 · Cited by 106
Dynamics of Excitability over Extended Timescales in Cultured Cortical Neurons
Gal, A., Eytan, D., Wallach, A., Sandler, M., Schiller, J., & Marom, S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4859-10.2010 · Cited by 109
Fractal Tempo Fluctuation and Pulse Prediction
Rankin, S. K., Large, E. W., & Fink, P. W. (2009) · Music Perception An Interdisciplinary Journal · doi:10.1525/mp.2009.26.5.401 · Cited by 107
Multifractal Dynamics in the Emergence of Cognitive Structure
Dixon, J. A., Holden, J. G., Mirman, D., & Kelty‐Stephen, D. G. (2011) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2011.01162.x · Cited by 107
Heuristics as beliefs and as behaviors: The adaptiveness of the “hot hand”
Burns, B. D. (2003) · Cognitive Psychology · doi:10.1016/j.cogpsych.2003.07.003 · Cited by 109
An integrated model of choices and response times in absolute identification.
Brown, S. D., Marley, A. A. J., Donkin, C., & Heathcote, A. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.396 · Cited by 105
The Complexity of Childhood Development: Variability in Perspective
Vereijken, B. (2010) · Physical Therapy · doi:10.2522/ptj.20100019 · Cited by 114
Complex Dynamical Systems in Social and Personality Psychology: Theory, Modeling, and Analysis
Richardson, M. J., Dale, R., & Marsh, K. L. (2014) · Handbook of Research Methods in Social and Personality Psychology · doi:10.1017/cbo9780511996481.015 · Cited by 104
Dissociating Response Conflict and Error Likelihood in Anterior Cingulate Cortex
Yeung, N., & Nieuwenhuis, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3615-09.2009 · Cited by 102
1/f scaling in movement time changes with practice in precision aiming.
Wijnants, M. L., Bosman, A. M. T., Hasselman, F., Cox, R. F. A., & Orden, G. C. V. (2009) · PubMed · Cited by 103
Confidence predicts speed-accuracy tradeoff for subsequent decisions
Desender, K., Boldt, A., Verguts, T., & Donner, T. H. (2019) · eLife · doi:10.7554/elife.43499 · Cited by 107
The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.
Zhu, J.-Q., Sanborn, A. N., & Chater, N. (2020) · Psychological Review · doi:10.1037/rev0000190 · Cited by 95
An interaction-dominant perspective on reading fluency and dyslexia
Wijnants, M. L., Hasselman, F., Cox, R. F. A., Bosman, A. M. T., & Orden, G. C. V. (2012) · Annals of Dyslexia · doi:10.1007/s11881-012-0067-3 · Cited by 94
Accumulative prediction error and the selection of time series models
Wagenmakers, E., Grünwald, P., & Steyvers, M. (2006) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2006.01.004 · Cited by 94
Incorporating measurement error in n = 1 psychological autoregressive modeling
Schuurman, N. K., Houtveen, J. H., & Hamaker, E. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01038 · Cited by 98
1/f noise and effort on implicit measures of bias.
Correll, J. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.1.48 · Cited by 93
Practicing perfection: How concert soloists prepare for performance
Chaffin, R. J. S., & Logan, T. R. (2006) · Advances in Cognitive Psychology · doi:10.2478/v10053-008-0050-z · Cited by 93
Spontaneous cognitive processes and the behavioral validation of time-varying brain connectivity
Kucyi, A., Tambini, A., Sadaghiani, S., Keilholz, S. D., & Cohen, J. R. (2018) · Network Neuroscience · doi:10.1162/netn_a_00037 · Cited by 95
Detection of long‐range dependence and estimation of fractal exponents through ARFIMA modelling
Torre, K., Delignières, D., & Lemoine, L. (2006) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711005x89513 · Cited by 91
Eyes Wide Shut: Amygdala Mediates Eyes-Closed Effect on Emotional Experience with Music
Lerner, Y., Papo, D., Zhdanov, A. V., Belozersky, L., & Hendler, T. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006230 · Cited by 96
The timing and temporal patterns of eye blinking are dynamically modulated by attention
Oh, J., Jeong, S.-Y., & Jeong, J. (2012) · Human Movement Science · doi:10.1016/j.humov.2012.06.003 · Cited by 88
Visual activity in Hollywood film: 1935 to 2005 and beyond.
Cutting, J. E., DeLong, J. E., & Brunick, K. L. (2011) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/a0020995 · Cited by 88
Fractal models for event-based and dynamical timers
Delignières, D., Torre, K., & Lemoine, L. (2007) · Acta Psychologica · doi:10.1016/j.actpsy.2007.07.007 · Cited by 87
Evolutionary autonomous agents and the nature of apraxia
Borrett, D. S., Jin, F. Y., & Kwan, H. C. (2005) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-4-1 · Cited by 86
On the Continuity of Mind: Toward a Dynamical Account of Cognition
Spivey, M. J., & Dale, R. A. C. (2004) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/s0079-7421(03)45003-2 · Cited by 86
1/f noise in human cognition: Is it ubiquitous, and what does it mean?
Farrell, S., Wagenmakers, E., & Ratcliff, R. (2006) · Psychonomic Bulletin & Review · doi:10.3758/bf03193989 · Cited by 85
Multifractal formalisms of human behavior
Ihlen, E. A. F., & Vereijken, B. (2013) · Human Movement Science · doi:10.1016/j.humov.2013.01.008 · Cited by 85
Metadata
- Authors
- Gilden, D. L.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Gilden, David L.
- ORCID
- Gilden, David L.
- Venue
- Psychological Review
- Published
- 2001
- Volume
- 108
- Issue
- 1
- Pages
- 33-56
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2096018883
- Cited by
- 516
- References
- 72
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 10 · 2023: 20 · 2022: 14 · 2021: 23 · 2020: 20 · 2019: 52 · 2018: 25 · 2017: 16 · 2016: 13 · 2015: 20 · 2014: 28 · 2013: 23 · 2012: 31
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (1 RO1-MH58606-01, R01MH058606)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- 1/f noise, long-range dependence, mental representation, residual variance, time series analysis, dynamic complexity, cognitive processes, psychological data
- MeSH terms
- Cognition, Discrimination, Psychological, Humans, Memory, Psychology, Experimental, Reaction Time, Signal Detection, Psychological, Cognitive Science
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
