 Welcome to the stoop group

Welcome to the Stoop Group. The Stoop group is a research group around Prof. Ruedi Stoop at the Institute of Neuroinformatics of University and ETH Zurich. The group is working in the following fields related to physics
 biological computing
 statistical physics
 cochlear modeling
and is collaborating with other academic as well as industrial partners in the field.
Latest journal publications
 Fingerprints of a second order critical line in developing neural networks by K. Kanders, H. Lee, N. Hong, Y. Nam and R. Stoop, Communications Physics (in press, 2019).
 Universality in the firing of minicolumnartype neural networks by K. Kanders, N. Stoop and R. Stoop, Chaos 29, 093109 (2019).
 Natural data structure extracted from neighborhoodsimilarity graphs by T. Lorimer, K. Kanders, and R. Stoop, Chaos Solitons and Fractals 119, 326331 (2019).
 Frequency sensitivity in mammalian hearing from a fundamental nonlinear physics model of the inner ear by K. Kanders, T. Lorimer, F. Gomez, and R. Stoop, Scientific Reports 7, 9931 (2017).
 Avalanche and edgeofchaos criticality do not necessarily cooccur in neural networks by K. Kanders, T. Lorimer, and R. Stoop, Chaos 27, 047408 (2017).
 Clustering: How much bias do we need? by T. Lorimer, J. Held, and R. Stoop, Philosophical Transactions of the Royal Society A 375, 20160293 (2017).
 Auditory powerlaw activation avalanches exhibit a fundamental computational ground state by R. Stoop and F. Gomez, Physical Review Letters 117, 038102 (2016).
 Signalcoupled subthreshold Hopftype systems show a sharpened collective response by F. Gomez, T. Lorimer, and R. Stoop, Physical Review Letters 116, 108101 (2016).
 Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation by C. Albert, S. Ulzega, and R. Stoop, Physical Review E 93, 043313 (2016).
 Big data naturally rescaled by R. Stoop, K. Kanders, T. Lorimer, J. Held, and C. Albert, Chaos Solitons and Fractals, 90, 8190 (2016).
 Mammalian cochlea as a physics guided evolutionoptimized hearing sensor by T. Lorimer, F. Gomez, and R. Stoop, Scientific Reports 5, 12492 (2015).
 Two universal principles shape the topological statistics of realworld networks by T. Lorimer, F. Gomez, and R. Stoop, Scientific Reports 5, 12353 (2015).
 A Full Understanding of Things by R. Stoop, in "On Science  On Arts  On Society" (Proc. of the Digital Art Weeks), Seoul, South Korea (2015).
 Macrosoping bursting in physiological networks: node or network property? by F.A.S. Ferrari, F. Gomez, T. Lorimer, R.L. Viana, and R. Stoop, New Journal of Physics 17, 055024 (2015).
 Phase synchronization of coupled bursting neurons and the generalized Kuramoto model by F.A.S. Ferrari, R.L. Viana, S.R. Lopes, and R. Stoop, Neural Networks 66, 107118 (2015).
 A multiple timescale framework for the understanding of the progression of Parkinson's disease by D.S. Andres, F. Gomez, F.A.S. Ferrari, D. Cerquetti, M. Merello, R. Viana, and R. Stoop, Phys. Rev. E 90, 062709 (2014).
 Analysis of cascaded canonical dissipative systems and LTI filter sections by M. Reit, R. Stoop, and W. Mathis, Acta Technica 59, 7996 (2014).
 Neuronal entropy depends on the level of alertness in the parkinsonian Globus Pallidus in vivo by D.S. Andres, D. Cerquetti, M. Merello, and R. Stoop, Frontiers in Neurology, doi 10.3389/fneur.2014.00096 (2014).
 Universal dynamical properties preclude standard clustering in a large class of biochemical data by F. Gomez, R.L. Stoop and R. Stoop, Bioinformatics 30, 24862493 (2014).
 Mammalian pitch sensation shaped by the cochlear fluid by F. Gomez and R. Stoop, Nature Physics 10, 530536. (2014).
 How the Ear Tunes In to Sounds: A Physics Approach by F. Gomez, V. Saase, N. Buchheim and R. Stoop, Phys. Rev. Appl. 1, 014003 (2014).
 Pitch sensation involves stochastic resonance by S. Martignoli, F. Gomez and R. Stoop, Nature Sci. Rep. 3, 2676 (2013)
 Parameter properties of electronic and biological circuits and systems by R.L. Stoop, F. Gomez, R. Schönenberger, C. Baumann and R. Stoop, Proc. ECCTD (2013)
 At Grammatical Faculty of Language, Flies Outsmart Men by R. Stoop, P. Nüesch, R.L. Stoop and L.A. Bunimovich, PLoS ONE 8 (8), e70284 (2013)
 Beyond ScaleFree SmallWorld Networks: Cortical Columns for Quick Brains by R.L. Stoop, V. Saase, C. Wagner, B. Stoop and R. Stoop, Phys. Rev. Lett. 110, 108105 (2013)
 A full computationrelevant topological dynamics classification of elementary cellular automata by M. Schüle, R. Stoop,
Chaos 22, 043143 (2012)
 Shrimps: Occurrence, scaling and relevance by R. Stoop, S. Martignoli, P. Benner, R.L. Stoop, Y. Uwate, International Journal of Bifurcation and Chaos 22, 1230032 (2012)
 Analysis of the “Sonar Hopf” Cochlea by A. Kern, S. Martignoli, W. Mathis, W.H. Steeb, R.L. Stoop, R. Stoop, Sensors, 11 (5) 58085818 (2011)
 Quantitative Assessment of the LogLogStep Method for Pattern Detection in NoiseProne Environments by F. Gomez, R. Stoop, PLoS ONE, 6 (12) e28107 (2011)
 Mesocopic comparison of complex networks based on periodic orbits by R. Stoop, J. Joller, Chaos, 21 (1) 016112 (2011)
 Principles and Typical Computational Limitations of Sparse Speaker Separation Based on Deterministic Speech Features
by A. Kern, R. Stoop, Neural Computation, 23 (9) 23582389 (2011)
 News


Apr 22, 2016
Software implementation of the Hopf cochlea is now available

