A functional spiking neuronal network for tactile sensing pathway to process edge orientation

Abstract To obtain deeper insights into the tactile processing pathway from a population-level point of view, we have modeled three stages of the tactile pathway from the periphery to the cortex in response to indentation and scanned edge stimuli at different orientations. Three stages in the tactil...

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Autores principales:	Adel Parvizi-Fard, Mahmood Amiri, Deepesh Kumar, Mark M. Iskarous, Nitish V. Thakor
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4d750377ab1d4e36a5021c98c2af33de
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spelling	oai:doaj.org-article:4d750377ab1d4e36a5021c98c2af33de2021-12-02T15:22:58ZA functional spiking neuronal network for tactile sensing pathway to process edge orientation10.1038/s41598-020-80132-42045-2322https://doaj.org/article/4d750377ab1d4e36a5021c98c2af33de2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80132-4https://doaj.org/toc/2045-2322Abstract To obtain deeper insights into the tactile processing pathway from a population-level point of view, we have modeled three stages of the tactile pathway from the periphery to the cortex in response to indentation and scanned edge stimuli at different orientations. Three stages in the tactile pathway are, (1) the first-order neurons which innervate the cutaneous mechanoreceptors, (2) the cuneate nucleus in the midbrain and (3) the cortical neurons of the somatosensory area. In the proposed network, the first layer mimics the spiking patterns generated by the primary afferents. These afferents have complex skin receptive fields. In the second layer, the role of lateral inhibition on projection neurons in the cuneate nucleus is investigated. The third layer acts as a biomimetic decoder consisting of pyramidal and cortical interneurons that correspond to heterogeneous receptive fields with excitatory and inhibitory sub-regions on the skin. In this way, the activity of pyramidal neurons is tuned to the specific edge orientations. By modifying afferent receptive field size, it is observed that the larger receptive fields convey more information about edge orientation in the first spikes of cortical neurons when edge orientation stimuli move across the patch of skin. In addition, the proposed spiking neural model can detect edge orientation at any location on the simulated mechanoreceptor grid with high accuracy. The results of this research advance our knowledge about tactile information processing and can be employed in prosthetic and bio-robotic applications.Adel Parvizi-FardMahmood AmiriDeepesh KumarMark M. IskarousNitish V. ThakorNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Adel Parvizi-Fard Mahmood Amiri Deepesh Kumar Mark M. Iskarous Nitish V. Thakor A functional spiking neuronal network for tactile sensing pathway to process edge orientation
description	Abstract To obtain deeper insights into the tactile processing pathway from a population-level point of view, we have modeled three stages of the tactile pathway from the periphery to the cortex in response to indentation and scanned edge stimuli at different orientations. Three stages in the tactile pathway are, (1) the first-order neurons which innervate the cutaneous mechanoreceptors, (2) the cuneate nucleus in the midbrain and (3) the cortical neurons of the somatosensory area. In the proposed network, the first layer mimics the spiking patterns generated by the primary afferents. These afferents have complex skin receptive fields. In the second layer, the role of lateral inhibition on projection neurons in the cuneate nucleus is investigated. The third layer acts as a biomimetic decoder consisting of pyramidal and cortical interneurons that correspond to heterogeneous receptive fields with excitatory and inhibitory sub-regions on the skin. In this way, the activity of pyramidal neurons is tuned to the specific edge orientations. By modifying afferent receptive field size, it is observed that the larger receptive fields convey more information about edge orientation in the first spikes of cortical neurons when edge orientation stimuli move across the patch of skin. In addition, the proposed spiking neural model can detect edge orientation at any location on the simulated mechanoreceptor grid with high accuracy. The results of this research advance our knowledge about tactile information processing and can be employed in prosthetic and bio-robotic applications.
format	article
author	Adel Parvizi-Fard Mahmood Amiri Deepesh Kumar Mark M. Iskarous Nitish V. Thakor
author_facet	Adel Parvizi-Fard Mahmood Amiri Deepesh Kumar Mark M. Iskarous Nitish V. Thakor
author_sort	Adel Parvizi-Fard
title	A functional spiking neuronal network for tactile sensing pathway to process edge orientation
title_short	A functional spiking neuronal network for tactile sensing pathway to process edge orientation
title_full	A functional spiking neuronal network for tactile sensing pathway to process edge orientation
title_fullStr	A functional spiking neuronal network for tactile sensing pathway to process edge orientation
title_full_unstemmed	A functional spiking neuronal network for tactile sensing pathway to process edge orientation
title_sort	functional spiking neuronal network for tactile sensing pathway to process edge orientation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4d750377ab1d4e36a5021c98c2af33de
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A functional spiking neuronal network for tactile sensing pathway to process edge orientation

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