NEURAL GRAMMARS OF TIME: AN INTEGRATED FRAMEWORK FOR THE ACTIVE CONSTRUCTION OF TEMPORAL REALITY
DOI:
https://doi.org/10.55877/cc.vol34.735Keywords:
time perception, temporal cognition, neural dynamics, predictive processing, consciousnessAbstract
Time is a fundamental dimension of experience, yet neuroscience suggests that the subjective flow of time is an active neural construction rather than a passive reflection of physical reality [Buonomano 2017]. Here, I propose the “Neural Grammars of Time” – a unifying framework explaining how distributed neural architectures transform physical signals into a structured temporal phenomenology. I would argue that temporal cognition emerges from three interdependent processes: Temporal Representation, which utilizes population codes, oscillatory coupling, and specialized “time cells” to encode duration and sequence [Eichenbaum 2014; MacDonald et al. 2011]; Temporal Construction, which leverages predictive processing and the multisensory “Temporal Binding Window” to assemble a coherent experiential present [Wallace & Stevenson 2014; Hohwy 2013]; and Temporal Action, which maps internal temporal scaffolds onto goal-directed behaviour and decision-making [Merchant et al. 2013; Paton & Buonomano 2018]. Evidence from evolutionary biology and developmental science indicates that these mechanisms are phylogenetically conserved and early-emerging [Merchant et al. 2013]. Furthermore, I demonstrate how distortions in temporal processing – characteristic of Parkinson’s disease, ADHD, and schizophrenia – reveal the functional logic of these systems, particularly the fragility of the ~100-ms continuity window in disorders of conscious experience [Giersch & Mishara 2017]. By synthesizing computational, systems, and clinical perspectives, this framework provides a comprehensive account of how the brain constructs the structured temporal reality that underpins perception, memory, and conscious experience.
Downloads
References
Baars, B. J. (2005). Global workspace theory of consciousness: toward a cognitive neuroscience of human experience. Progress in Brain Research, No. 150, pp. 45–53.
Bolbecker, A. R. et al. (2014). Altered timing of motor behavior in bipolar disorder. Journal of Abnormal Psychology, No. 123 (4), pp. 925–940.
Brannon, E. M., Suanda, S. H. and Libertus, K. (2007). Temporal discrimination increases in precision over development. Cognition, No. 103 (2), pp. 299–307.
Buhusi, C. V. and Meck, W. H. (2005). What makes us tick? Functional and neural mechanisms of interval timing. Nature Reviews Neuroscience, No. 6 (10), pp. 755–765.
Buonomano, D. V. (2017) Your Brain Is a Time Machine: The Neuroscience and Physics of Time. New York: W.W. Norton & Company.
Buzsáki, G. (2010). The brain-cognitive symphony: neural syntax and temporal coordination. Neuron, No. 68 (3), pp. 362–385.
Buzsáki, G. and Wang, X. J. (2012). Mechanisms of gamma oscillations. Annual Review of Neuroscience, No. 35, pp. 203–225.
Callender, C. (2017) What Makes Time Special? Oxford: Oxford University Press.
Cecere, R., Rees, G. and Romei, V. (2015). Individual differences in rhythmic cortical activity at rest predict multisensory temporal binding. eLife, No. 4, e07233.
Cojan, Y. and Ptak, R. (2012). Thalamic lesions disrupt temporal processing and conscious access. Cortex, No. 48 (8), pp. 1002–1013.
Droit-Volet, S. (2013). Time perception, emotions and mood disorders. Journal of Physiology Paris, No. 107 (4), pp. 255–264.
Eagleman, D. M. (2008). Human time perception and its illusions. Current Opinion in Neurobiology, No. 18 (2), pp. 131–136.
Eichenbaum, H. (2014). Time cells in the hippocampus: A new dimension for regional encoding. Nature Reviews Neuroscience, No. 15 (11), pp. 732–744.
Einstein, A. (1916) Relativity: The Special and General Theory. New York: Henry Holt.
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, No. 11 (2), pp. 127–138.
Gallistel, C. R. (1990) The Organization of Learning. Cambridge: MIT Press.
Gibbon, J. (1977). Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, No. 84 (3), pp. 279–325.
Giersch, A. and Mishara, A. L. (2017). Is Schizophrenia a Disorder of Consciousness? The 100-ms Window of Continuity. Frontiers in Psychology, 8, 1058.
Haggard, P. (2017). Sense of agency in the human brain. Nature Reviews Neuroscience, No. 18 (4), pp. 196–207.
Hardy, N. F. and Buonomano, D. V. (2016). Neurocomputational models of interval and pattern timing. Current Opinion in Behavioral Sciences, No. 8, pp. 250–257.
Hasson, U., Chen, J. and Honey, C. J. (2015). Hierarchical process memory: Neural mechanisms for the construction of temporal context. Trends in Cognitive Sciences, No. 19 (5), pp. 304–313.
Heusser, A. C. et al. (2016). Episodic sequence memory is supported by a theta–gamma phase code. Nature Neuroscience, No. 19 (10), pp. 1374–1380.
Hogendoorn, H. (2022). The world in time: settling the debate on the resolution of visual perception. Psychological Science, No. 33 (10), pp. 1653–1662.
Hohwy, J. (2013) The Predictive Mind. Oxford: Oxford University Press.
Ivry, R. B. and Spencer, R. M. C. (2004). The neural representation of time. Current Opinion in Neurobiology, No. 14 (2), pp. 225–232.
Jones, C. R. G. and Jahanshahi, M. (2014). Dopamine modulates striato-cortical timing in Parkinson’s disease. Neuropsychologia, No. 62, pp. 187–201.
Kiebel, S. J., Daunizeau, J. and Friston, K. J. (2008). A hierarchy of time-scales and the brain. PLoS Computational Biology, No. 4 (11), e1000209.
Kim, S., Hwang, J. and Lee, D. (2008). Prefrontal coding of temporally discounted values during intertemporal choice. Neuron, No. 59 (1), pp. 161–172.
Krakauer, J. W. et al. (2017). Neuroscience needs behavior: correcting a reductionist bias. Neuron, No. 93 (3), pp. 480–490.
MacDonald, C. J. et al. (2011). Hippocampal “time cells” bridge the gap in memory for discontiguous events. Neuron, No. 71 (4), pp. 737–749.
Mauk, M. D. and Buonomano, D. V. (2004). The neural basis of temporal processing. Annual Review of Neuroscience, No. 27, pp. 307–340.
Mazzucato, L., La Camera, G. and Fontanini, A. (2019). Expectation-induced modulation of metastable activity. Nature Neuroscience, No. 22 (5), pp. 787–796.
Meck, W. H. (1996). Neuropharmacology of timing and time perception. Brain Research Reviews, No. 22 (3), pp. 233–269.
Merchant, H., Harrington, D. L. and Meck, W. H. (2013). Interval timing and rhythms: from systems to neurons. Trends in Cognitive Sciences, No. 17 (10), pp. 508–517.
Merchant, H., Harrington, D. L. and Meck, W. H. (2013). Neural basis of the perception and estimation of time. Annual Review of Neuroscience, No. 36, pp. 313–336.
Noreika, V., Falter, C. M. and Rubia, K. (2013). Timing deficits in ADHD: evidence from neurocognitive and neuroimaging studies. Neuropsychologia, No. 51 (2), pp. 235–266.
Northoff, G. and Huang, Z. (2017). How do the brain’s time and space mediate consciousness and its different dimensions? PNAS, No. 114 (50), pp. 12961–12970.
Paton, J. J. and Buonomano, D.V. (2018). The neural basis of timing: distributed mechanisms for diverse functions. Neuron, No. 98 (4), pp. 687–705.
Provasi, J., Rattat, A.-C. and Droit-Volet, S. (2011). Temporal regulation of behavior in 4-month-old infants: effect of time of day. Developmental Psychobiology, No. 53 (2), pp. 162–169.
Rabinovich, M. I., Huerta, R. and Laurent, G. (2008). Transient dynamics for neural processing. Science, No. 321 (5885), pp. 48–50.
Rovelli, C. (2018) The Order of Time. New York: Riverhead Books.
Schwartze, M. and Kotz, S. A. (2013). A dual-pathway model of auditory temporal processing. Trends in Cognitive Sciences, No. 17 (10), pp. 556–565.
Shadmehr, R., Smith, M. A. and Krakauer, J. W. (2010). Error correction, sensory prediction, and allostasis in motor control. Annual Review of Neuroscience, No. 33, pp. 89–108.
Soares, S., Atallah, B. V. and Paton, J. J. (2016). Midbrain dopamine neurons control judgment of time. Science, No. 354 (6317), pp. 1273–1277.
Stephens, D. W. and Krebs, J. R. (1986) Foraging Theory. Princeton: Princeton University Press.
Teki, S., Grube, M. and Griffiths, T.D. (2012). A unified model of time perception. Frontiers in Integrative Neuroscience, No. 5, 90.
ten Oever, S. et al. (2021). Rhythmicity and cross-species principles of temporal prediction. Nature Reviews Neuroscience, No. 22 (8), pp. 469–485.
Thönes, S. and Oberfeld, D. (2015). Time perception in depression: a meta-analysis. Journal of Affective Disorders, No. 175, pp. 359–372.
Tononi, G. (2008). Consciousness as integrated information. The Biological Bulletin, No. 215 (3), pp. 216–242.
Tsao, A. et al. (2018). Integrating time from experience in the lateral entorhinal cortex. Nature, No. 561 (7721), pp. 57–62.
Umbach, G., Tan, R. J. and Jacobs, J. (2020). Hippocampal time cells encode sequences of events during a temporal delay. Neuron, No. 105 (2), pp. 385–392.
Van Wassenhove, V. (2016). Temporal cognition and neural oscillations. Current Opinion in Behavioral Sciences, No. 8, pp. 124–130.
Varela, F. J. et al. (2001). The brainweb: large-scale phase synchronization. Nature Reviews Neuroscience, No. 2 (4), pp. 229–239.
Vroomen, J. and Keetels, M. (2010). Perception of intersensory synchrony. Attention, Perception, & Psychophysics, No. 72 (4), pp. 871-884.
Wallace, M. T. and Stevenson, R. A. (2014). The multisensory temporal binding window. Frontiers in Integrative Neuroscience, No. 8, 39.
Walsh, V. (2003). A theory of magnitude: common cortical codes for number, space and time. Trends in Cognitive Sciences, No. 7 (11), pp. 483–488.
Wittmann, M. (2009). The inner experience of time. Philosophical Transactions of the Royal Society B, No. 364 (1525), pp. 1955–1967.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Culture Crossroads

This work is licensed under a Creative Commons Attribution 4.0 International License.