Zobrazeno 1 - 10
of 26
pro vyhledávání: '"J.H. Cocatre-Zilgien"'
Autor:
Fred Delcomyn, J.H. Cocatre-Zilgien
Publikováno v:
Biological Cybernetics. 81:149-160
Campaniform sensilla (cs) on insect legs are stimulated by strain in the cuticle produced by forces applied to the leg, and generate action potentials when the strain is sufficiently high. We modeled the tibia of the American cockroach, Periplaneta a
Publikováno v:
The International Journal of Robotics Research. 15:113-127
Legged robots modeled after insects have been proposed for use on rugged, dangerous, or inaccessible terrain. The agility of current hexapod robots, however, is not yet as good as that of their biological counterparts. The capability of insects for a
Autor:
J.H. Cocatre-Zilgien, F. Delcomy
Publikováno v:
Animal Behaviour. 45:820-824
Autor:
J.H. Cocatre-Zilgien, Fred Delcomyn
Publikováno v:
Journal of Neuroscience Methods. 33:241-249
A spike discrimination algorithm based on the analysis of spike up- and down-slopes can advantageously replace those based only on amplitude with a minimal increase of programming complexity and processing time. Such an algorithm was developed to sor
Publikováno v:
Computers in biology and medicine. 25(3)
The dynamics of a jointed leg were simulated using two different models, one based on a recursive Newton-Euler method and one on a closed-form Lagrange method. To validate the models, the simulations were run in parallel and the intermediate steps an
Autor:
Fred Delcomyn, J.H. Cocatre-Zilgien
Publisher Summary This chapter provides an overview of the factors that an investigator has to consider when selecting a commercial spike identification system or when designing a customized one. It describes the features of the program Spike Finder.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5569cc340cb02cc4e81a60fbe4599153
https://doi.org/10.1016/b978-0-12-185269-6.50019-9
https://doi.org/10.1016/b978-0-12-185269-6.50019-9
Autor:
Peter Århem, U. Arvidsson, Peter H. Barry, Pascale Boulenguez, Michael Brunner, Kevin Bush, James P. Butler, K. Carlsson, L. Charron, Brenda J. Claiborne, J.H. Cocatre-Zilgien, G. Colliot, R. John Cork, G. Corkidi, Frans Cornelissen, C. Costa, P. Delaère, F. Delcomyn, Victor H. Denenberg, C. Duyckaerts, Sverker Eneström, William S. Evans, M. Freire, Hugo Geerts, George L. Gerstein, James L. Hargrove, Diane K. Hartle, J.-J. Hauw, E.C. Hirsch, William R. Holmes, Christian Hoock, Dale Huff, Claire E. Hulsebosch, Martin G. Hulsey, Staffan Johansson, Michael L. Johnson, Stephen W. Jones, Gerry H. Kenner, Uwe T. Koch, Dimitri M. Kullmann, Hsin-yi Lee, O. Lejeune, Erich Lieth, J.P. Messier, K. Mossberg, Peter J. Munson, Robert G. Nagele, Rony Nuydens, Roger Nuyens, J.M. Peyronnard, Robert Pinard, Pierre Rage, G. Enrico Ravati, John Ross, Jean P. Royet, Louis Segu, W. Terrell Stamps, Brian R. Stromquist, Stéphane Swillens, M. Tajani, Mario Tiberi, Warren G. Tourtellotte, B. Ulfhake, Johannes D. Veldhuis, Lipo Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6f499b1f46383fb2a9e4bf43cb2c37b
https://doi.org/10.1016/b978-0-12-185269-6.50003-5
https://doi.org/10.1016/b978-0-12-185269-6.50003-5
Autor:
J.H. Cocatre-Zilgien, Fred Delcomyn
Publisher Summary This chapter describes an empirical method for the detection and the identification of bursts. An algorithm based on the analysis of histograms of interspike intervals (ISIs) from spike train data can detect and locate bursts with g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9700360f01cd21b1e98a940e0d746a5
https://doi.org/10.1016/b978-0-12-185269-6.50020-5
https://doi.org/10.1016/b978-0-12-185269-6.50020-5
Autor:
Fred Delcomyn, J.H. Cocatre-Zilgien
Publikováno v:
Journal of neuroscience methods. 41(1)
A computer algorithm to identify ‘bursts’ in trains of spikes is described. The algorithm works by constructing a histogram of interspike intervals, then analyzing the histogram to detect the critical interval value in the distribution that repre
Autor:
Fred Delcomyn, J.H. Cocatre-Zilgien
Publikováno v:
Biological Cybernetics. 59:367-377
In order to determine which statistical tests can validly be applied to data that describe a temporal relationship between two or more repetitive movements by an animal, we evaluated empirically seven two-sample tests that seemed potentially useful: