TY - GEN
T1 - Neural network analysis of neuronal spike-trains
AU - Iezzi, R.
AU - Micheli-Tzanakou, E.
PY - 1990
Y1 - 1990
N2 - A description is given of spike-train tomographic scanning (ST-scanning), a feature extraction method useful in the separation of component action potentials from composite spike-trains. Using ST-scanning, spike-train components are differentially represented in histograms according to the scan angle used. These histogram waveforms are then analyzed using a 3-layer perceptron, employing a least mean square (LMS) learning algorithm. The neural network is first trained to relate specific ST-scan histograms to known spike-train patterns. After training, the perceptron is run on feedforward mode to allow the separation of component action potentials from composite waveforms. Results obtained with this technique are discussed.
AB - A description is given of spike-train tomographic scanning (ST-scanning), a feature extraction method useful in the separation of component action potentials from composite spike-trains. Using ST-scanning, spike-train components are differentially represented in histograms according to the scan angle used. These histogram waveforms are then analyzed using a 3-layer perceptron, employing a least mean square (LMS) learning algorithm. The neural network is first trained to relate specific ST-scan histograms to known spike-train patterns. After training, the perceptron is run on feedforward mode to allow the separation of component action potentials from composite waveforms. Results obtained with this technique are discussed.
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M3 - Conference contribution
AN - SCOPUS:0025550764
SN - 0879425598
T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology
SP - 1435
EP - 1436
BT - Biomedical Engineering Perspectives
PB - Publ by IEEE
T2 - Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Y2 - 1 November 1990 through 4 November 1990
ER -