On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning

Asai, Yoshiyuki; Aksenova, Tetiana; Villa, Alessandro E. P.

doi:10.1007/11550822_18

Cited by 8 publications

(7 citation statements)

References 7 publications

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“…Signals from the microelectrodes were amplified, filtered (400 Hz-20 kHz), viewed on an oscilloscope, and digitally recorded in WAV format (44,100 Hz sampling rate, 16 bit resolution) for computerized offline analysis. Spike sorting of the electrode signal files, based on a template matching algorithm, was able to separate up to three spikes recorded from the same channel (Asai et al, 2005). The time of spike discharges were digitally stored at a time resolution of 1 ms for later processing.…”

Section: Electrophysiological Recordingsmentioning

confidence: 99%

Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus

Lintas¹,

Силькис²,

Albèri³

et al. 2012

Brain Research

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Abnormal neuronal activity in the subthalamic nucleus (STN) plays a crucial role in the pathophysiology of Parkinson's disease (PD). In this study we investigated changes in rat STN neuronal activity after 28 days following the injection of 6-OHDA in the substantia nigra pars compacta (SNc). This drug provoked a lesion of SNc that induced a dopamine and lesioned (n = 83) groups was similar, as well as the firing rate. In 6-OHDA treated rats we observed a significant increase (from 26% to 48%) in the number of pairs with synchronous firing. These data suggest that the synchronous activity of STN cells, provoked by loss of DA cells in SNc, is likely to be among the most significant dysfunctions in the basal ganglia of Parkinsonian patients. We raise the hypothesis that in normal conditions, DA maintains a balance between funneling information via the hyperdirect cortico-subthalamic pathway and parallel processing through the parallel cortico-basal ganglia-subthalamic pathways, both of which are necessary for selected motor behaviors..

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Section: Electrophysiological Recordingsmentioning

confidence: 99%

Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus

Lintas¹,

Силькис²,

Albèri³

et al. 2012

Brain Research

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“…The first step of any recording procedure consists of setting a threshold of detection: the lower the threshold, the higher the chance to avoid missing neuronal discharges, but also the higher the chance to detect spurious signals. The spike detection is improved by a template-matching procedure [26,27] where certain waveforms that satisfy a criterion based on the shape of the signal are labeled as spikes. However, some stochastic fluctuations that meet the criterion may be counted as spikes.…”

Section: Discussionmentioning

confidence: 99%

Reconstruction of Underlying Nonlinear Deterministic Dynamics Embedded in Noisy Spike Trains

Asai

Villa

2008

J Biol Phys

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An experimentally recorded time series formed by the exact times of occurrence of the neuronal spikes (spike train) is likely to be affected by observational noise that provokes events mistakenly confused with neuronal discharges, as well as missed detection of genuine neuronal discharges. The points of the spike train may also suffer a slight jitter in time due to stochastic processes in synaptic transmission and to delays in the detecting devices. This study presents a procedure aimed at filtering the embedded noise (denoising the spike trains) the spike trains based on the hypothesis that recurrent temporal patterns of spikes are likely to represent the robust expression of a dynamic process associated with the information carried by the spike train. The rationale of this approach is tested on simulated spike trains generated by several nonlinear deterministic dynamical systems with embedded observational noise. The application of the pattern grouping algorithm (PGA) to the noisy time series allows us to extract a set of points that form the reconstructed time series. Three new indices are defined for assessment of the performance of the denoising procedure. The results show that this procedure may indeed retrieve the most relevant temporal features of the original dynamics. Moreover, we observe that additional spurious events affect the performance to a larger extent than the missing of original points. Thus, a strict criterion for the detection of spikes under experimental conditions, thus reducing the number of spurious spikes, may raise the possibility to apply PGA to detect endogenous deterministic dynamics in the spike train otherwise masked by the observational noise.

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“…Several real world problems were studied using IMOT approach. Real-time neuronal spikes sorting [15], and the suppression of artefacts of Deep Brain Stimulation (DBS) [24] from neurophysiological recordings [19,20] are examples of application.…”

Section: Examples Of Applicationsmentioning

confidence: 99%

Oscillatory Models for Biological Signal Processing and Pattern Recognition

Aksenova

Ryzhkova

2019

EPJ Web Conf.

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Among biomedical signals, repetitive or quasi-periodic signals are particularly widespread. While the periodic component is still presented these signals are characterized by period variations (fundamental frequency, amplitude, etc.). The lack of synchronization or phase shifts results in variations in similar segments’ durations, nominally identical signals demonstrate a variation at peak retention times, etc. The inverse methods of oscillation theory were proposed recently as a tool to solve the problems of modelling of repetitive signals with phase shift. In the article, the inverse method of oscillation theory is considered as a tool to solve the problems of supervised and non-supervised classification, and filtering of repetitive signals with phase shift. Examples of application are presented.

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On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning

Cited by 8 publications

References 7 publications

Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus

Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus

Reconstruction of Underlying Nonlinear Deterministic Dynamics Embedded in Noisy Spike Trains

Oscillatory Models for Biological Signal Processing and Pattern Recognition

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