J Leo Van Hemmen


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Person Info

NAME

J Leo

SURNAME

Van Hemmen

Publications in SciGraph latest 50 shown

  • 2021-11-27 Mathematization of nature: how it is done in BIOLOGICAL CYBERNETICS
  • 2020-07-22 Internally Coupled Ears (ICE): Biophysical Consequences and Underlying Mechanisms in ENCYCLOPEDIA OF COMPUTATIONAL NEUROSCIENCE
  • 2018-04-16 Reflections on biological cybernetics: past, present, prospects in BIOLOGICAL CYBERNETICS
  • 2017-05-23 Physik, Biologie und Mathematik: Grundbegriffe, Skalen und Allgemeingültigkeit in BERECHENBARKEIT DER WELT?
  • 2016-10-25 Internally coupled ears: mathematical structures and mechanisms underlying ICE in BIOLOGICAL CYBERNETICS
  • 2016-10 Animals and ICE: meaning, origin, and diversity in BIOLOGICAL CYBERNETICS
  • 2015-01-30 My science, right or wrong! in BIOLOGICAL CYBERNETICS
  • 2014-10 Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function in BIOLOGICAL CYBERNETICS
  • 2014-09-06 Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality in BIOLOGICAL CYBERNETICS
  • 2014-01-23 Snookie: An Autonomous Underwater Vehicle with Artificial Lateral-Line System in FLOW SENSING IN AIR AND WATER
  • 2014-01-23 Hydrodynamic Object Formation: Perception, Neuronal Representation, and Multimodal Integration in FLOW SENSING IN AIR AND WATER
  • 2013-08-27 Resonating vector strength: what happens when we vary the “probing” frequency while keeping the spike times fixed in BIOLOGICAL CYBERNETICS
  • 2013-08-27 Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives in BIOLOGICAL CYBERNETICS
  • 2012-11-29 Foreword for the special issue on Multimodal and Sensorimotor Bionics in BIOLOGICAL CYBERNETICS
  • 2010-09-29 Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence in BIOLOGICAL CYBERNETICS
  • 2010-07-20 The representation of input correlation structure from multiple pools in the synaptic weights by STDP in BMC NEUROSCIENCE
  • 2010-05-26 Optimality in mono- and multisensory map formation in BIOLOGICAL CYBERNETICS
  • 2010-03-04 How stimulus shape affects lateral-line perception: analytical approach to analyze natural stimuli characteristics in BIOLOGICAL CYBERNETICS
  • 2009-11-24 Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity in BIOLOGICAL CYBERNETICS
  • 2009-11-24 Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV in BIOLOGICAL CYBERNETICS
  • 2009-07-13 How crickets determine the direction of a flow field in BMC NEUROSCIENCE
  • 2009-07-13 Spike-timing-dependent plasticity in a recurrently connected neuronal network with spontaneous oscillations in BMC NEUROSCIENCE
  • 2009-07-13 Interplay between spike-timing-dependent plasticity and neuronal correlations gives rise to network structure in BMC NEUROSCIENCE
  • 2009-06-18 Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity—symmetry breaking in BIOLOGICAL CYBERNETICS
  • 2009-06-18 Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways in BIOLOGICAL CYBERNETICS
  • 2009-04-07 Neuronal identification of signal periodicity by balanced inhibition in BIOLOGICAL CYBERNETICS
  • 2009-01 Editorial to volume 100 of Biological Cybernetics in BIOLOGICAL CYBERNETICS
  • 2008-07-11 Symmetry breaking induced by Spike-Timing-Dependent Plasticity in the presence of recurrent connections in BMC NEUROSCIENCE
  • 2008-05-20 Population vector code: a geometric universal as actuator in BIOLOGICAL CYBERNETICS
  • 2008-05-20 Inhibition, not excitation, is the key to multimodal sensory integration in BIOLOGICAL CYBERNETICS
  • 2008 Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs in NEURAL INFORMATION PROCESSING
  • 2007-12-04 Object localization through the lateral line system of fish: theory and experiment in JOURNAL OF COMPARATIVE PHYSIOLOGY A
  • 2007-07-06 Object localization through the lateral line system of fish in BMC NEUROSCIENCE
  • 2007-07-06 The learning dynamics of spike-timing-dependent plasticity in recurrently connected networks in BMC NEUROSCIENCE
  • 2007-06-14 Biology and mathematics: A fruitful merger of two cultures in BIOLOGICAL CYBERNETICS
  • 2007-04-06 Spike-timing-dependent plasticity for neurons with recurrent connections in BIOLOGICAL CYBERNETICS
  • 2005-12-20 Editorial in BIOLOGICAL CYBERNETICS
  • 2004-11-12 Continuum limit of discrete neuronal structures: is cortical tissue an “excitable” medium? in BIOLOGICAL CYBERNETICS
  • 2003-11-28 How synapses in the auditory system wax and wane: theoretical perspectives in BIOLOGICAL CYBERNETICS
  • 2003 Simulation of Neuronal Map Formation in the Primary Visual Cortex in HIGH PERFORMANCE COMPUTING IN SCIENCE AND ENGINEERING, MUNICH 2002
  • 2002-12 Hebb in perspective in BIOLOGICAL CYBERNETICS
  • 2002-12 Mapping time in BIOLOGICAL CYBERNETICS
  • 2002-05 How instruction and feedback can select the appropriate T helper response in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2001-05 Th1 or Th2: How an appropriate T helper response can be made in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2001-01 Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex in BIOLOGICAL CYBERNETICS
  • 1998 An analytically solvable model of collective excitation patterns in cortical tissue in A PERSPECTIVE LOOK AT NONLINEAR MEDIA
  • 1998 Hebbian Learning of Temporal Correlations: Sound Localization in the Barn Owl Auditory System in DYNAMICAL NETWORKS IN PHYSICS AND BIOLOGY
  • 1997-12 Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis in BIOLOGICAL CYBERNETICS
  • 1997-12 Development of spatiotemporal receptive fields of simple cells: I. Model formulation in BIOLOGICAL CYBERNETICS
  • 1997 A linear hebbian model for the development of spatiotemporal receptive fields of simple cells in ARTIFICIAL NEURAL NETWORKS — ICANN'97
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