Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-020-80132-4
DC FieldValue
dc.titleA functional spiking neuronal network for tactile sensing pathway to process edge orientation
dc.contributor.authorParvizi-Fard, Adel
dc.contributor.authorAmiri, Mahmood
dc.contributor.authorKumar, Deepesh
dc.contributor.authorIskarous, Mark M.
dc.contributor.authorThakor, Nitish, V
dc.date.accessioned2022-10-12T07:58:56Z
dc.date.available2022-10-12T07:58:56Z
dc.date.issued2021-01-14
dc.identifier.citationParvizi-Fard, Adel, Amiri, Mahmood, Kumar, Deepesh, Iskarous, Mark M., Thakor, Nitish, V (2021-01-14). A functional spiking neuronal network for tactile sensing pathway to process edge orientation. Scientific Reports 11 (1) : 1320. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-020-80132-4
dc.identifier.issn2045-2322
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/232357
dc.description.abstractTo 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. © 2021, The Author(s).
dc.publisherNature Research
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentLIFE SCIENCES INSTITUTE
dc.contributor.departmentCOLLEGE OF DESIGN AND ENGINEERING
dc.description.doi10.1038/s41598-020-80132-4
dc.description.sourcetitleScientific Reports
dc.description.volume11
dc.description.issue1
dc.description.page1320
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1038_s41598-020-80132-4.pdf11.02 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons