Isometric coding of spiking haptic signals by peripheral somatosensory
2011 (English)In: Advances in Computational Intelligence: 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I / [ed] Cabestany, J; Rojas, I; Joya, G, Berlin: Springer Berlin/Heidelberg, 2011, 528-536 p.Conference paper (Refereed)
We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information theory to perform temporal decoding of human microneurography data. First, we enrich the theory by deriving a novel spike train metrics inspired by neuronal computation. This spike train metrics can be interpreted biologically and its behaviour is not influenced by spontaneous activity, which decreases the ability of other spike metrics to separate input patterns. Second, we employ our metrical information tools to demonstrate that primary spiking signals allow a putative neural decoder to go beyond stimulus discrimination. They transmit information about geometrical properties of the input space. We show that first-spike latencies are enough to guarantee maximum information transmission of tactile stimuli. However, entire primary spike trains are necessary to encode isometric representations of the stimulus space, a likely basis for generalisation in haptic perception.
Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2011. 528-536 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 6691
Temporal coding, spike-train metrics, information theory, isometric mapping, microneurography recordings, mechanoreceptors
Basic Medicine Computer Science
IdentifiersURN: urn:nbn:se:umu:diva-73340ISI: 000353417500066ISBN: 9783642215018OAI: oai:DiVA.org:umu-73340DiVA: diva2:631036
11th International Work-Conference on Artificial Neural Networks (IWANN), Jun 08-10, 2011, Torremolinos, Spain