ABSTRACT There is an impressive scarcity of quantitative models of the clock patterns in the brain. We propose a mesoscopic approach, i.e. neither a description at single neuron level, nor at systemic level/too coarse granularity, of the time perception at the time of the saccade. This model uses functional pathway knowledge and is inspired by, and integrates, recent findings in both psychophysics and neurophysiology. Perceived time delays in the perisaccadic window are shown numerically consistent with recent experimental measures. Our model provides explanation for several experimental outcomes on saccades, estimates popu-lation variance of the error in time perception and represent a meaningful example for bridging psychophysics and neurophysiology. Finally we found that the insights into information processing during saccadic events lead to considerations on engineering exploitation of the underlying phenomena.
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nullGuazzini, A. , Liò, P. , Passarella, A. and Conti, M. (2010) Modeling perisaccadic time perception. Journal of Biomedical Science and Engineering, 3, 1133-1142. doi: 10.4236/jbise.2010.312147.
 Binda, P., Cicchini, G.M., Burr, D.C., and Morrone, M.C. (2009) Spatiotemporal distortions of visual perception at the time of saccades. Journal of Neuroscience, 29, 13147-13157.
 Burr, D. and Morrone, C. (2006) Perception: Transient disruptions to neural space time. Current Biology, 16, 848.
 Ibbotson, M., Crowder, N. and Price, N. (2005) Neural basis of time changes during saccades. Current Biology, 16, 834-836.
Morrone, C., Ross, J. and Burr, D. (2005) Saccades cause compression of time as well as space. Nature Neuroscience, 8, 950-954.
Ross, J., Morrone, C., Goldberg, E. and Burr, D. (2001) Changes in visualperception at the time of saccades. TRENDS in Neurosciences, 16, 472-479.
Ross, J., Burr, D. and Morrone, C. (1996) Suppression of the magnocellular pathway during saccades. Behavioural Brain Research, 80, 1-8.
Abeles, M. (1982) Local cortical circuits: An electrophysiological study. Springer, Berlin.
Johnston, A., Arnold, D.H. and Nishida, S. (2006) Spatially localized distortions of event time. Current Biology, 16, 472-479.
Rocca, E.D. and Burr, D.C. (2007) Large contrast effects in the discrimination of short temporal intervals. Perception 36 ECVP.
 Burr, D. and Morrone, C. (2006) Time perception: Space time in the brain. Current Biology, 16, 171-173.
 Lewis, P.A. and Walsh, V. (2005) Time perception: components of the brain's clock. Current Biology, 15, 389-391.
 Meck, W.H. (2005) Neuropsychology of timing and time perception. Brain Cognition, 58, 1-8.
Ullner, E., Vicente, R., Pipa, G. and Garca-Ojalvo, J. (2008) Contour integration and synchronization in neuronal networks of the visual cortex. ICANN, Lecture Notes in Computer Science, 5164, 703-712.
 Orban, G.A., Van Essen, D. and Vanduffel, W. (2004) Comparative mapping of higher visual areas in monkeys and humans. Trends in Cognitive Sciences, 8, 315-324.
 Karmarkar, U. and Buonomano, D. (2007) Timing in the absence of clocks: Encoding time in neural network states. Neuron, 53, 427-438.
 Buonomano, D.V. (2000) Decoding temporal information: A model based on short-term synaptic plasticity. The Journal of Neuroscience, 20, 1129-1141.
 Gross, J., Schmitz. F., Schnitzler, I., Kessler, K., Shapiro, K., Hommel, B. and Schnitzler, A. (2004) Modulation of long-range neural synchrony reflects temporal limitations of visual attention in humans. Proceedings of the National Academy Sciences, 101, 13050-13055.
Gregoriou, G.G., Gotts, S.J., Zhou, H. and Desimone, R. (2009) High-frequency, long-range coupling between prefrontal and visual cortex during attention. Science, 324, 1207-1210.
Mark, J. and Morrow, M.D. (1996) Craniotopic defects of smooth pursuit and saccadic eye movement. Neurology, 46, 514-521.
 Galletti, C., Battaglini, P. and Fattori, P. (1993) Parietal neurons encoding spatial locations in craniotopic coordinates. Experimental Brain Research, 96, 221-229.
Graham, B.P. and Stricker, C. (2008) Short term plasticity provides temporal filtering at chemical synapses. ICANN, Lecture Notes in Computer Science, 5164, 268-276.
Hebb, D.O. (1949) The organization of behavior. Wily, New York.
 Btzel, K., Rottach, K. and Bttner, U. (1993) Normal and pathological saccadic dysmetria. Brain, 116, 337-353.
 Abarbanel, H., Gibb, L., Huerta, R., and Rabinovich, M. (2003) Biophysical model of synaptic plasticity dynamics. Biological Cybernetics, 89, 214-226.
Dittman, J.S., Kreitzer, A.C. and Regehr, W.G. (2007) Interplay between facilitation, depression, and residual calcium at three presynaptic terminals, Journal of Neuroscience, 20, 1374-1385.
Ford, J.M., Brian, J.R. and Mathalon, D.H. (2010) Assessing corollary discharge in humans using noninvasive neuron physiological methods. Nature Protocols, 5, 1160 -1168.
Kohonen, T. (1982) Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43, 59-69.
Guazzini, A., Lio, P., Conti, M. and Passarella, A. (2009) Information processing and timing mechanisms in vision. ICANN, Lecture Notes in Computer Science, 1, 325-334.
McGivern, R., Gibson, J., Jwnnings, D., Lavery, K. and Montgomery,C. (2006) Normal and abnormal slowing of saccades: are they one and the same phenomenon? Annals of the New York Academy of Sciences, Neurobiology of eye movements: from molecules to behaviour, 956, 421-425.
 Huygena, P., Verhagenb, W., Hommesc, O. and Nicolasena, M. (1990) Short vestibule-ocular reflex time constants associated with oculomotor pathology in multiple sclerosis. Acta Oto-Laryngologica, 109, 25-33.
 Leigh, R. J., Parhad, I.M., Clark, A.W., Buettner-Ennever, J.A. and Folstein, S.E. (1985) Brainstem findings in Huntington’s disease: Possible mechanisms for slow vertical saccades. Journal of the Neurological Sciences, 71, 247-256.
 Mosimann, U.P., Müri, R.M., Burn, D.J., Felblinger, J., O’Brien, J.T. and McKeith, I.G. (2005) Saccadic eye movement changes in Parkinson’s disease dementia and dementia with Lewy bodies. Brain, 128, 1267-1276.