Lars Schwabe

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Klaus ObermayerProfessor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität BerlinVerified email at tu-berlin.de
Alessandra AngelucciUniversity of UtahVerified email at hsc.utah.edu
Paul C BressloffProfessor of Applied Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Jorge MariñoDept. Medicine, Physiology, University of A CoruñaVerified email at udc.es
Mriganka SurNewton Professor of Neuroscience, MITVerified email at mit.edu
David C LyonProfessor, University of California IrvineVerified email at uci.edu
James SchummersMax Planck Florida Institute for NeuroscienceVerified email at mpfi.org
Andrew DavisonResearch Scientist in Neuroinformatics and Computational Neuroscience, NeuroPSI, CNRSVerified email at cnrs.fr
Mikael DjurfeldtNeuroinformatics researcher, KTH, Stockholm and INCF, StockholmVerified email at djurfeldt.com
S ShushruthUniversity of PittsburghVerified email at pitt.edu
Sean L. HillProfessor, University of Toronto; Senior Scientist, CAMH; EPFL, GenevaVerified email at camh.ca
Yann Le France-Science Data Factory, Paris - FranceVerified email at esciencefactory.com
Padraig GleesonDepartment of Neuroscience, Physiology and Pharmacology, University College LondonVerified email at ucl.ac.uk
Peter AdorjanVerified email at servicenow.com
Farshad LahoutiElectrical Engineering Department, California Institute of TechnologyVerified email at caltech.edu
Hans Ekkehard PlesserProfessor in Informatics, Norwegian University of Life SciencesVerified email at nmbu.no
Babak N AraabiProfessor of ECE, University of TehranVerified email at ut.ac.ir
Klaus WimmerCentre de Recerca Matemàtica (CRM), Barcelona, SpainVerified email at crm.cat
Marcel StimbergInstitut de la Vision, Sorbonne Université, ParisVerified email at sorbonne-universite.fr
Bigna LenggenhagerDepartment of Psychology, University of KonstanzVerified email at uni-konstanz.de

Lars Schwabe

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Invariant computations in local cortical networks with balanced excitation and inhibition J Mariño, J Schummers, DC Lyon, L Schwabe, O Beck, P Wiesing, ... Nature neuroscience 8 (2), 194-201, 2005	374	2005
The role of feedback in shaping the extra-classical receptive field of cortical neurons: a recurrent network model L Schwabe, K Obermayer, A Angelucci, PC Bressloff The Journal of Neuroscience 26 (36), 9117-9129, 2006	226	2006
Response facilitation from the “suppressive” receptive field surround of macaque V1 neurons JM Ichida, L Schwabe, PC Bressloff, A Angelucci Journal of Neurophysiology 98 (4), 2168-2181, 2007	128	2007
Strong recurrent networks compute the orientation tuning of surround modulation in the primate primary visual cortex S Shushruth, P Mangapathy, JM Ichida, PC Bressloff, L Schwabe, ... Journal of Neuroscience 32 (1), 308-321, 2012	121	2012
Contrast-dependence of surround suppression in Macaque V1: experimental testing of a recurrent network model L Schwabe, JM Ichida, S Shushruth, P Mangapathy, A Angelucci Neuroimage 52 (3), 777-792, 2010	85	2010
Cognitive neuroscience of ownership and agency L Schwabe, O Blanke Consciousness and cognition 16 (3), 661-666, 2007	48	2007
The operating regime of local computations in primary visual cortex M Stimberg, K Wimmer, R Martin, L Schwabe, J Marino, J Schummers, ... Cerebral Cortex 19 (9), 2166-2180, 2009	45	2009
The timing of temporoparietal and frontal activations during mental own body transformations from different visuospatial perspectives L Schwabe, B Lenggenhager, O Blanke Human Brain Mapping 30 (6), 1801-1812, 2009	45	2009
The vestibular component in out-of-body experiences: a computational approach L Schwabe, O Blanke Frontiers in Human Neuroscience 2, 321, 2008	44	2008
NineML: the network interchange for ne uroscience modeling language I Raikov, R Cannon, R Clewley, H Cornelis, A Davison, E De Schutter, ... BMC neuroscience 12, 1-2, 2011	39	2011
Adaptivity of tuning functions in a generic recurrent network model of a cortical hypercolumn L Schwabe, K Obermayer The Journal of Neuroscience 25 (13), 3323-3332, 2005	30	2005
Developmental emergence of sparse coding: a dynamic systems approach V Rahmati, K Kirmse, K Holthoff, L Schwabe, SJ Kiebel Scientific reports 7 (1), 13015, 2017	27	2017
Adaptive prediction of epileptic seizures from intracranial recordings H Soleimani-B, C Lucas, BN Araabi, L Schwabe Biomedical Signal Processing and Control 7 (5), 456-464, 2012	23	2012
Creating, documenting and sharing network models SM Crook, JA Bednar, S Berger, R Cannon, AP Davison, M Djurfeldt, ... Network: Computation in Neural Systems 23 (4), 131-149, 2012	20	2012
Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models Y Le Franc, AP Davison, P Gleeson, FT Imam, B Kriener, SD Larson, ... BMC Neuroscience 13, 1-2, 2012	14	2012
Modeling the adaptive visual system: a survey of principled approaches L Schwabe, K Obermayer Neural Networks 16 (9), 1353-1371, 2003	14	2003
Rapid adaptation and efficient coding L Schwabe, K Obermayer Biosystems 67 (1-3), 239-244, 2002	12	2002
Recurrent cortical competition: Strengthen or weaken? P Adorján, L Schwabe, C Piepenbrock, K Obermayer Advances in Neural Information Processing Systems 12, 1999	12	1999
Interplay between interictal spikes and behavioral seizures in young, but not aged pilocarpine-treated epileptic rats R Bajorat, D Goerss, L Brenndörfer, L Schwabe, R Köhling, T Kirschstein Epilepsy & Behavior 57, 90-94, 2016	11	2016
Neuronal synchronization can control the energy efficiency of inter-spike interval coding S Ghavami, V Rahmati, F Lahouti, L Schwabe IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 4 …, 2019	10	2019

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