Single LFP Sorting for High-Resolution Brain-Chip Interfacing
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Understanding cognition has fascinated many neuroscientists and made them put their efforts in deciphering the brain’s information processing capabilities for cognition. Rodents perceive the environment through whisking during which tactile information is processed at the barrel columns of the somatosensory cortex (S1). The intra– and trans–columnar microcircuits in the barrel cortex segregate and integrate information during activation of this pathway. Local Field Potentials (LFPs) recorded from these barrel columns provide information about the microcircuits and the shape of the LFPs provide the fingerprint of the underlying neuronal network. Through a contour based sorting method, we could sort neuronal evoked LFPs recorded using high–resolution Electrolyte–Oxide–Semiconductor Field Effect Transistor (EOSFET) based neuronal probes. We also report that the latencies and amplitudes of the individual LFPs’ shapes vary among the different clusters generated by the method. The shape specific information of the single LFPs thus can be used in commenting on the underlying neuronal network generating those signals.
KeywordsNeuronal probe whisker stimulation evoked brain activity neuronal signal neuronal signal analysis
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- 6.Kublik, E.: Contextual impact on sensory processing at the barrel cortex of awake rat. Acta. Neurobiol. Exp. 64, 229–238 (2004)Google Scholar
- 7.Mahmud, M., Bertoldo, A., Girardi, S., Maschietto, M., Vassanelli, S.: Automatic detection of layer activation order in information processing pathways of rat barrel cortex under mechanical whisker stimulation. In: 32nd Intl. Conf. of IEEE EMBS, pp. 6095–6098. IEEE Press, New York (2010)Google Scholar
- 11.Madsen, K., Nielsen, H.B., Tingleff, O.: Methods for Non–Linear Least Squares Problems, 2nd edn. Technical University of Denmark (DTU), Kgs, Lyngby (2004)Google Scholar
- 12.Macqueen, J.: Some methods for classification and analysis of multivariate observations. In: Fifth Berkeley Symp. on Math. Statist. and Prob., vol. 1, pp. 281–297. University of California Press, Berkeley California (1967)Google Scholar
- 16.Swanson, L.W.: Brain Maps: Structure of the Rat Brain. Academic, London (2003)Google Scholar
- 17.Mahmud, M., Bertoldo, A., Girardi, S., Maschietto, M., Vassanelli, S.: An Automated Method to Determine Angular Preferentiality using LFPs Recorded from Rat Barrel Cortex by Brain-Chip Interface under Mechanical Whisker Stimulation. In: 33rd Intl. Conf. of IEEE EMBS, pp. 2307–2310. IEEE Press, New York (2010)Google Scholar
- 18.Mahmud, M., Bertoldo, A., Girardi, S., Maschietto, M., Vassanelli, S.: SigMate: a Matlab–based neuronal signal processing tool. In: 32nd Intl. Conf. of IEEE EMBS, pp. 1352–1355. IEEE Press, New York (2010)Google Scholar
- 19.Mahmud, M., et al.: SigMate: A Comprehensive Software Package for Extracellular Neuronal Signal Processing and Analysis. In: 5th Intl. Conf. on Neural Eng., pp. 88–91. IEEE Press, New York (2011)Google Scholar