--- abstract: "Natural variation plays an important but subtle and often ignored role in neuromechanical systems. This is especially important when designing for living or hybrid systems \r\nwhich involve a biological or self-assembling component. Accounting for natural variation can be accomplished by taking a population phenomics approach to modeling and analyzing such systems. I will advocate the position that noise in neuromechanical systems is partially represented by natural variation inherent in user physiology. Furthermore, this noise can be augmentative in systems that couple physiological systems with technology. There are several tools and approaches that can be borrowed from computational biology to characterize the populations of users as they interact with the technology. In addition to transplanted approaches, the potential of natural variation can be understood as having a range of effects on both the individual's physiology and function of the living/hybrid system over time. Finally, accounting for natural variation can be put to good use in human-machine system design, as three prescriptions for exploiting variation in design are proposed." altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: - freejumper@yahoo.com creators_name: - family: Alicea given: Bradly honourific: '' lineage: '' date: 2009-11-06 date_type: completed datestamp: 2009-11-14 11:34:42 department: ~ dir: disk0/00/00/66/98 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 6698 fileinfo: /style/images/fileicons/application_pdf.png;/6698/1/nat_variation_neuromech_design.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: ~ issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'Neuromechanics, Biomimetic Design, Human Variation, Stochastic Systems, Human-Machine Interaction' lastmod: 2011-03-11 08:57:32 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: FALSE publication: ~ publisher: ~ refereed: FALSE referencetext: "[1] Dillow, A.K. and Lowman, A.M. Biomimetic Materials and Design. Reaction Kinetics and Catalysis Letters, 80(2), 391-397 (2003).\r\n\r\n[2] Shin, H., Jo, S. and Mikos, A.G. Biomimetic materials for tissue engineering. Biomaterials, 24(24), 4353-4364 (2003).\r\n\r\n[3] Choi, H.R., Jung, K., Ryew, S., Nam, J-D., Jeon, J., Koo, J.C., and Tanie, K. Biomimetic soft actuator: design, modeling, control, and applications. IEEE/ASME Transactions on Mechatronics, 10(5), 581-593 (2005).\r\n\r\n[4] Okuno, R., Akazawa, K., and Yoshida, M. Biomimetic myoelectric hand with voluntary control of finger angle and compliance. Frontiers of Medical and Biological Engineering, 9(3), 199-210 (1999).\r\n\r\n[5] Steiner, S.H. and Mackay, R.J. Statistical Engineering: an algorithm for reducing variation in manufacturing processes. Quality Press, Milwaukee, WI. Page 23 (2005).\r\n\r\n[6] Helms, M.M., Ahmadi, M., Jang, W., Jih, K., and Ettkin, L.P. Technologies in support of mass customization strategy: Exploring the linkages between e-commerce and knowledge management. Computers in Industry, 59(4), 351-353 (2008).\r\n\r\n[7] Levy, M. and Salvadori, M. Why Buildings Fall Down: how structures fail. W.W. Norton, New York (1992). Section on the Tacoma-Narrows bridge failure of 1940.\r\n\r\n[8] Strogatz, S.H., Abrams, D.H., McRobie, A., Eckhardt, B., and Ott, E. Theoretical mechanics: Crowd synchrony on the Millennium Bridge. Nature, 438, 43-44 (2005).\r\n\r\n[9] Kosko, B. Noise. Viking Press. (2006) Chapter 1.\r\n\r\n[10] McNamara, B. and Wiesenfeld, K. Theory of stochastic resonance. Physical Review A, 39(9), 4854–4869 (1989).\r\n\r\n[11] Mitaim, S. and Kosko, B. Adaptive Stochastic Resonance. Proceedings of the IEEE, 86(11), 2152-2183 (1998).\r\n\r\n[12] Wolfram, S. A New Kind of Science. Wolfram Media, Champaign, IL (2002).\r\n\r\n[13] Hoppeler, H., Klossner, S., and Fluck, M. Gene Expression in Working Skeletal Muscle. In \"Hypoxia And The Circulation\", Advances in Experimental Medicine and Biology series, Volume 618, Pgs. 245-254, R.C. Roach, P.D. Wagner and P.H. Hackett eds., Springer, Berlin (2008).\r\n\r\n[14] Bergman A, Atzmon G, Ye K, MacCarthy T and Barzilai N. Buffering Mechanisms in Aging: A systems approach towards uncovering the genetic component of aging. PLoS Computational Biology, 3(8), e170 (2007).\r\n\r\n[15] Freimer, N. and Sabatti, C. Human genetics: variants in common diseases. Nature, 445, 828-830 (2007).\r\n\r\n[16] Hartl, D.L. and Clark, A.G. Principles of Population Genetics. Sinauer Associates, Sunderland, MA. (2006)\r\n\r\n[17] Kim, S. and Misra, A. SNP Genotyping: Technologies and Biomedical Applications. Annual Review of Biomedical Engineering, 9, 289-320 (2007).\r\n\r\n[18] Loza, M.J., McCall, C.E., Li, L., Isaacs, W.B., Xu, J., and Chang, B-L. Assembly of Inflammation-Related Genes for Pathway-Focused Genetic Analysis. PLoS One, 2(10), e1035. doi:10.1371/journal.pone.0001035 (2007).\r\n\r\n[19] Alicea, B. Performance Augmentation in Hybrid Systems: techniques and experiment. arXiv Repository, arXiv:0810.4629 [q-bio.NC] (2008).\r\n\r\n[20] Hill, W.G., and Caballero, A. Artificial Selection Experiments. Annual Review of Ecology and Systematics, 23, 287-310 (1992).\r\n\r\n[21] Garland, T. Selection experiments: an under-utilized tool in biomechanics and organismal biology. In \"Vertebrate biomechanics and evolution\". D.G. Homberger, V.L. Bels, J.P. Gasc, and A. Casinos, pgs. 23-56, BIOS Scientific, Oxford, UK (2003).\r\n\r\n[22] Longabaugh, W.J.R., Davidson, E.H., Bolouri, H. Computational representation of developmental genetic regulatory networks. Developmental Biology, 283, 1-16 (2005).\r\n\r\n[23] Vemuri, G.N. and Aristidou, A.A. Metabolic Engineering in the -omics Era: Elucidating and Modulating Regulatory Networks. Microbiology and Molecular Biology Reviews, 69(2), 197–216 (2005).\r\n\r\n[24] NINDS dystonia fact sheet. http://www.ninds.nih.gov/disorders/dystonias/detail_dystonias.htm. National Institutes of Neurological Disorders and Stroke (2009).\r\n\r\n[25] Altenmuller, E.O. and Jabusch, H-C. Focal dystonia: diagnostic, therapy, rehabilitation. In \"Human Haptic Perception: Basics and Applications\". Martin Grunwald ed. Birkhauser, Basel, Switzerland (2008).\r\n\r\n[26] Fazekas, C., Szederkenyi, G., and Hangos, K.M. Linear and nonlinear control of musculoskeletal systems. IASTED International Conference on Modeling, Identification, and Control. Lanzarote, Spain, 219-224 (2006).\r\n\r\n[27] Jagacinski, R.J. and Flach, J.M. Control Theory for Humans: quantitative approaches to modeling performance. Erlbaum Press, Mahwah, NJ (2003).\r\n\r\n[28] Pasemann, F. and Dieckmann, U. Evolved neurocontrollers for pole-balancing. In Biological and Artificial Computation: From Neuroscience to Technology, pgs. 1279-1287, LNCS, Volume 1240, Springer, Berlin (1997).\r\n\r\n[29] Cluff, T. and Balasubramaniam, R. Motor Learning Characterized by Changing Lévy Distributions. PLoS ONE, 4(6), e5998 (2009).\r\n\r\n[30] Koren, I. and Krishna, C.M. Fault-tolerant Systems. Elsevier, Amsterdam (2007). Chapter 4.\r\n[31] Abd El-Barr, M. Design and analysis of reliable and fault-tolerant computer systems.\r\nImperial Press, London (2007).\r\n[32] Ewens, W.J. Mathematical Population Genetics. Springer, Berlin (1979).\r\n[33] Benfey, P.N. and Mitchell-Olds, T. From Genotype to Phenotype: Systems Biology Meets Natural Variation. Science, 320(5875), 495-497 (2008).\r\n\r\n[34] Tsonis, A.A., Kumar, P., Elsner, J.B., Tsonis, P.A. Wavelet analysis of DNA sequences. Physical Review E, 53(2), 1828-1834 (1996)." relation_type: [] relation_uri: [] reportno: ~ rev_number: 29 series: ~ source: ~ status_changed: 2009-11-14 11:34:42 subjects: - neuro-physio - comp-sci-robot - bio-theory - bio-pop succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Natural Variation and Neuromechanical Systems type: preprint userid: 9499 volume: ~