Decoding cognitive states from neural activities of somatosensory cortex

Xiaoxu Kang, Marc Schieber, Nitish V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Advanced dexterous prosthetics technology has been under rapid development as a potential solution to upper limb amputation. An important problem in the neural prosthetics design is to develop control policies for prosthesis movements. This requires an estimation of cognitive states. Previous works mostly used premotor and primary motor neurons to estimate cognitive states. Here we demonstrate that the recorded neural activity from the somatosensory cortex can be used to estimate cognitive states in complex behavioral tasks. We measure the latencies between the predicted cognitive state transitions and true transitions. The maximum prediction latency for grasping a sphere, pulling a mallet, pushing a button and pulling a cylinder are 42±21 ms, 91.6±10.7 ms, 177.1±94.6 ms, 22.5±74.5 ms, respectively. These latency estimates indicate that good timing of the cognitive states with small latencies can be obtained from the somatosensory neural data to plan movements of prosthetic limbs.

Original languageEnglish (US)
Title of host publicationNeural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
Number of pages8
EditionPART 1
StatePublished - Nov 19 2012
Event19th International Conference on Neural Information Processing, ICONIP 2012 - Doha, Qatar
Duration: Nov 12 2012Nov 15 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7663 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other19th International Conference on Neural Information Processing, ICONIP 2012


  • Cognitive State
  • Neural Activity
  • Neural Prosthetics Design
  • Somatosensory Cortex

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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