Time
Accurate timing is an integral aspect of sensory and motor processes such as the perception of speech and music and the execution of skilled movement such as playing a musical instrument or dancing. The brain lacks a dedicated system for processing time (unlike sensory systems for processing vision, sound and touch) which makes time perception a challenging problem in neuroscience.
I have investigated how time intervals are perceived in sequences that are either temporally regular or irregular. Using functional MRI, I showed that perception of time is affected by the temporal structure of sequences - a network based in the cerebellum and inferior olive (in yellow) encodes the absolute duration of single intervals in irregular sequences while a network comprising the striatum, thalamus, supplementary motor and frontal cortex (in green) encodes time in regular sequences with a beat.
I have investigated how time intervals are perceived in sequences that are either temporally regular or irregular. Using functional MRI, I showed that perception of time is affected by the temporal structure of sequences - a network based in the cerebellum and inferior olive (in yellow) encodes the absolute duration of single intervals in irregular sequences while a network comprising the striatum, thalamus, supplementary motor and frontal cortex (in green) encodes time in regular sequences with a beat.
Unified Model of Timing
I also developed a unified model of timing suggesting that the striatal and cerebellar timing systems are interconnected and act together to accurately process time. The hypothesis is that the striatal clock acts as the default timekeeper and encodes time in both regular and irregular sequences while the role of the cerebellar clock is to provide error-feedback. This model has been substantiated with neuropsychological evidence from patients with striatal and cerebellar degeneration and is consistent with recent work on interval timing.
Publications
1. Teki S, Grube M, Kumar S, Griffiths TD (2011)
Distinct neural substrates of duration-based and beat-based auditory timing.
Journal of Neuroscience 31(10): 3805-3812.
2. Teki S, Grube M, Griffiths TD (2012)
A unified model of time perception accounts for duration-based and beat-based timing mechanisms. [Review]
Frontiers in Integrative Neuroscience 5: 90.
3. Allman MJ, Teki S, Griffiths TD, Meck WH (2014)
Properties of the Internal Clock: First- and Second-Order Principles of Subjective Time. [Review]
Annual Review of Psychology 65: 743-71.
4. Teki S (2014)
Beta drives brain beats. [Review]
Frontiers in Systems Neuroscience 8: 155.
5. Teki S, Griffiths TD (2014)
Working memory for time intervals in auditory rhythmic sequences.
Frontiers in Auditory Cognitive Neuroscience 5: 1329.
6. Teki S (2015)
Observations on recent progress in the field of timing and time perception. [Review]
arXiv preprint arXiv: 1512.00058
7. Teki S, Griffiths TD (2016)
Brain bases of working memory for time intervals in rhythmic sequences.
Frontiers in Neuroscience 10:239
8. Teki S (2016)
A citation-based analysis and impact of significant papers on timing and time perception. [Review]
Frontiers in Neuroscience 10:330
9. Teki S, Kononowicz TW (2016)
Commentary: Beta-Band Oscillations Represent Auditory Beat and Its Metrical Hierarchy in Perception and Imagery. [Review]
Frontiers in Neuroscience: Auditory Cognitive Neuroscience 10:389
10. Rajendran S, Teki S (2016)
Periodicity versus Prediction in Sensory Perception. [Review]
Journal of Neuroscience 36(28): 7343-7345
11. Teki S, Gu BM, Meck WH (2017)
The Persistence of Memory: How the Brain encodes Time in Memory. [Review]
Current Opinion in Behavioral Sciences
12. Rajendran VG, Teki S, Schnupp JWH (2017)
Temporal processing in audition: insights from music. [Review]
Neuroscience
Distinct neural substrates of duration-based and beat-based auditory timing.
Journal of Neuroscience 31(10): 3805-3812.
2. Teki S, Grube M, Griffiths TD (2012)
A unified model of time perception accounts for duration-based and beat-based timing mechanisms. [Review]
Frontiers in Integrative Neuroscience 5: 90.
3. Allman MJ, Teki S, Griffiths TD, Meck WH (2014)
Properties of the Internal Clock: First- and Second-Order Principles of Subjective Time. [Review]
Annual Review of Psychology 65: 743-71.
4. Teki S (2014)
Beta drives brain beats. [Review]
Frontiers in Systems Neuroscience 8: 155.
5. Teki S, Griffiths TD (2014)
Working memory for time intervals in auditory rhythmic sequences.
Frontiers in Auditory Cognitive Neuroscience 5: 1329.
6. Teki S (2015)
Observations on recent progress in the field of timing and time perception. [Review]
arXiv preprint arXiv: 1512.00058
7. Teki S, Griffiths TD (2016)
Brain bases of working memory for time intervals in rhythmic sequences.
Frontiers in Neuroscience 10:239
8. Teki S (2016)
A citation-based analysis and impact of significant papers on timing and time perception. [Review]
Frontiers in Neuroscience 10:330
9. Teki S, Kononowicz TW (2016)
Commentary: Beta-Band Oscillations Represent Auditory Beat and Its Metrical Hierarchy in Perception and Imagery. [Review]
Frontiers in Neuroscience: Auditory Cognitive Neuroscience 10:389
10. Rajendran S, Teki S (2016)
Periodicity versus Prediction in Sensory Perception. [Review]
Journal of Neuroscience 36(28): 7343-7345
11. Teki S, Gu BM, Meck WH (2017)
The Persistence of Memory: How the Brain encodes Time in Memory. [Review]
Current Opinion in Behavioral Sciences
12. Rajendran VG, Teki S, Schnupp JWH (2017)
Temporal processing in audition: insights from music. [Review]
Neuroscience