Classification of action potentials in multi unit intrafascicular recordings using neural network pattern recognition techniques

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Publication Type Journal Article
School or College College of Engineering
Department Bioengineering
Creator Horch, Kenneth W.
Other Author Mirfakhraei, Khashayar
Title Classification of action potentials in multi unit intrafascicular recordings using neural network pattern recognition techniques
Date 1994
Description Neural network pattern-recognition techniques were applied to the problem of identifying the sources of action potentials in multi-unit neural recordings made from intrafascicular electrodes implanted in cats. The network was a three-layer connectionist machine that used digitized action potentials as input. On average, the network was able to reliably separate 6 or 7 units per recording. As the number of units present in the recording increased beyond this limit, the number separable by the network remained roughly constant. The results demonstrate the utility of neural networks for classifying neural activity in multi-unit recordings.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 41
Issue 1
Subject Intrafascicular electrodes; Multi-unit neural activity; Artificial neural networks
Subject MESH Pattern Recognition, Physiological; Action Potentials
Language eng
Bibliographic Citation Mirfakhraei, K. & Horch. K. W. (1994). Classification of action potentials in multi unit intrafascicular recordings using neural network pattern recognition techniques. IEEE Transactions on Biomedical Engineering, 41(1).
Rights Management (c) Institute of Electrical and Electronics Engineers (IEEE)
Format Medium application/pdf
Format Extent 381,877 Bytes
Identifier ir-main,3846
ARK ark:/87278/s6wd4hvn
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-06-13
ID 704129
Reference URL https://collections.lib.utah.edu/ark:/87278/s6wd4hvn
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