Bernhard A. Kaplan
Bernhard A. Kaplan
German Bionic Systems
Verified email at germanbionic.com
TitleCited byYear
A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system
BA Kaplan, A Lansner
Frontiers in neural circuits 8, 5, 2014
212014
Large-scale simulations of plastic neural networks on neuromorphic hardware
JC Knight, PJ Tully, BA Kaplan, A Lansner, SB Furber
Frontiers in neuroanatomy 10, 37, 2016
152016
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system
D Briiderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel
Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010
152010
Monte-Carlo-based inversion scheme for 3D quantitative photoacoustic tomography
BA Kaplan, J Buchmann, S Prohaska, J Laufer
Photons Plus Ultrasound: Imaging and Sensing 2017 10064, 100645J, 2017
92017
Anisotropic connectivity implements motion-based prediction in a spiking neural network
BA Kaplan, A Lansner, GS Masson, LU Perrinet
Frontiers in computational neuroscience 7, 112, 2013
92013
Map formation in the olfactory bulb by axon guidance of olfactory neurons
B Auffarth, B Kaplan, A Lansner
Frontiers in systems neuroscience 5, 84, 2011
92011
High-conductance states on a neuromorphic hardware system
B Kaplan, D Bruderle, J Schemmel, K Meier
2009 International Joint Conference on Neural Networks, 1524-1530, 2009
92009
Experimental validation of a Monte-Carlo-based inversion scheme for 3D quantitative photoacoustic tomography
J Buchmann, BA Kaplan, S Prohaska, J Laufer
Photons Plus Ultrasound: Imaging and Sensing 2017 10064, 1006416, 2017
82017
Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network
BA Kaplan, MA Khoei, A Lansner, LU Perrinet
2014 International Joint Conference on Neural Networks (IJCNN), 3205-3212, 2014
62014
Self-Organization Experiments for a Neuromorphic Hardware Device
B Kaplan
University of Heidelberg, 2008
52008
A large-scale model of the three first stages of the mammalian olfactory system implemented with spiking neurons
B Kaplan, S Benjaminsson, A Lansner
BMC neuroscience 12 (1), P185, 2011
22011
Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent
J Buchmann, BA Kaplan, S Powell, S Prohaska, J Laufer
Journal of biomedical optics 24 (6), 066001, 2019
2019
3D quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent
J Buchmann, BA Kaplan, S Powell, S Prohaska, J Laufer
2019
Quantitative inversion of 3D multiwavelength photoacoustic images using an adjoint radiance Monte Carlo model (Conference Presentation)
J Buchmann, B Kaplan, S Powell, S Prohaska, J Laufer
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 108781J, 2019
2019
Quantification of Chromophore Concentrations from Multispectral 3D Photoacoustic Images Using an Adjoint Monte-Carlo–based Inversion
J Buchmann, B Kaplan, S Powell, S Prohaska, J Laufer
Optical Tomography and Spectroscopy, OW4D. 4, 2018
2018
Modeling prediction and pattern recognition in the early visual and olfactory systems
B Kaplan
KTH Royal Institute of Technology, 2015
2015
Boost:: Python
B Kaplan
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Articles 1–17