Abstract
The latency of the N100m transient component of the magnetic auditory evoked fields presents a widely reported correlation with perceived pitch. These observations have been robustly reproduced in the literature for a number of different stimuli, indicating that the neural generator of the N100m has an important role in cortical pitch processing. In this work, we introduce a realistic cortical model of pitch perception revealing, for the first time to our knowledge, the mechanisms responsible for the observed relationship between the N100m and the perceived pitch. The model describes the N100m deflection as a transient state in cortical dynamics that starts with the incoming of a new subcortical input, holds during a winner-takes-all ensemble competition, and ends when the cortical dynamics reach equilibrium. This model qualitatively predicted the latency of the N100m of three families of stimuli.
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References
Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K., Denham, S.L.: Understanding pitch perception as a hierarchical process with top-down modulation. PLoS Comput. Biol. 5(3), e1000301 (2009)
Brunel, N., Wang, X.J.: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J. Comput. Neurosci. 11(1), 63–85 (2001)
Daunizeau, J., David, O., Stephan, K.E.: Dynamic causal modelling: a critical review of the biophysical and statistical foundations. NeuroImage 58(2), 312–322 (2011)
Gerstner, W., Kistler, W.M., Naud, R., Paninski, L.: Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition, 1st edn. Cambridge University Press, Cambridge (2014)
Krumbholz, K., Patterson, R., Seither-Preisler, A., Lammertmann, C., Lütkenhöner, B.: Neuromagnetic evidence for a pitch processing center in Heschl’s gyrus. Cereb. Cortex 13(7), 765–772 (2003)
Meddis, R., OMard, L.P.: Virtual pitch in a computational physiological model. J. Acoust. Soc. Am. 120(6), 3861 (2006)
Roberts, T.P.L., Ferrari, P., Stufflebeam, S.M., Poeppel, D.: Latency of the auditory evoked neuromagnetic field components. J. Clin. Neurophysiol. 17(2), 114–129 (2000)
Seither-Preisler, A., Patterson, R., Krumbholz, K., Seither, S., Lütkenhöner, B.: Evidence of pitch processing in the N100m component of the auditory evoked field. Hear. Res. 213(1–2), 88–98 (2006)
Tabas, A., Siebert, A., Supek, S., Pressnitzer, D., Balaguer-Ballester, E., Rupp, A.: Insights on the neuromagnetic representation of temporal asymmetry in human auditory cortex. Plos One 11(4), e0153947 (2016)
Wang, X.: The harmonic organization of auditory cortex. Front. Syst. Neurosci. 7, 114 (2013)
Wiegrebe, L.: Searching for the time constant of neural pitch extraction. J. Acoust. Soc. Am. 109(3), 1082–1091 (2001)
Wimmer, K., Compte, A., Roxin, A., Peixoto, D., Renart, A., de la Rocha, J.: Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature Commun. 6, 6177 (2015)
Wong, K.F., Wang, X.J.: A recurrent network mechanism of time integration in perceptual decisions. J. Neurosci. 26(4), 1314–1328 (2006)
Zilany, M.S.A., Bruce, I.C., Carney, L.H.: Updated parameters and expanded simulation options for a model of the auditory periphery. J. Acoust. Soc. Am. 135, 283–286 (2014)
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Tabas, A., Rupp, A., Balaguer-Ballester, E. (2016). Competition Between Cortical Ensembles Explains Pitch-Related Dynamics of Auditory Evoked Fields. In: Villa, A., Masulli, P., Pons Rivero, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2016. ICANN 2016. Lecture Notes in Computer Science(), vol 9886. Springer, Cham. https://doi.org/10.1007/978-3-319-44778-0_37
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DOI: https://doi.org/10.1007/978-3-319-44778-0_37
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