Evolutionary training of a biologically plausible spino-neuromuscular system model

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Stanley Phillips Gotshall",
  title =        "Evolutionary training of a biologically plausible
                 spino-neuromuscular system model",
  school =       "Computer Science, University of Idaho",
  year =         "2007",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, Nervous
                 system Computer simulation, Spine--Computer simulation,
                 Muscles, Computer simulation",
  URL =          "http://www2.cs.uidaho.edu/~tsoule/website_with_hierarchy/stan_dissertation.pdf",
  URL =          "http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/221",
  size =         "105 pages",
  abstract =     "There is an increasing need for researchers to develop
                 a greater understanding of the neuromuscular system.
                 The medical treatment of many diseases and disorders
                 depends on physicians and practitioners having specific
                 knowledge of how damage to certain spinal pathways can
                 affect motor control. To that end, an important step in
                 increasing our understanding of the spino-neuromuscular
                 system (SNMS) is to develop a model in which
                 researchers can conduct controlled virtual experiments
                 within the spinal cord. This dissertation develops such
                 a model while addressing limitations in current
                 modelling methods of neuromuscular systems. This
                 dissertation also shows that evolutionary algorithms
                 train robust and stable SNMS models that yield key
                 biological behaviours. This type of model is widely
                 applicable in areas such as evolutionary robotics,
                 neuroprosthetics, and modeling neuromuscular diseases
                 since all these areas investigate the importance of
                 specific components in biological or biologically
                 related systems.",
  notes =        "Brief mention of GP, part also in
                 \cite{Gotshall:2007:GPEM} (see also

                 Supervisor Terence Soule",

Genetic Programming entries for Stanley Phillips Gotshall