| 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 | 26 | 2014 |
| Quantitative PA tomography of high resolution 3-D images: experimental validation in a tissue phantom J Buchmann, B Kaplan, S Powell, S Prohaska, J Laufer Photoacoustics 17, 100157, 2020 | 24 | 2020 |
| 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 | 22 | 2016 |
| 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 | 21 | 2019 |
| Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system D Brüderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel 2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2784-8787, 2010 | 17 | 2010 |
| 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 | 15 | 2013 |
| 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, 802-814, 2017 | 13 | 2017 |
| 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 | 12 | 2011 |
| 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 | 11 | 2009 |
| 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, 168-175, 2017 | 9 | 2017 |
| 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 | 7 | 2014 |
| Self-Organization Experiments for a Neuromorphic Hardware Device B Kaplan University of Heidelberg, 2008 | 5 | 2008 |
| 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), 1-2, 2011 | 2 | 2011 |
| 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 | | |
Anders Lansnerprofessor of comptuter science, Dept of Mathematics, Stockholm university and KTHEmail verificata su kth.se
