EXC 1086:  BrainLinks-BrainTools

• Subject Area: Systems Engineering ; Neurosciences
• Term: from 2012 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 194657344

• Final Report Year: 2019

Final Report Abstract

The study of brain function and the clinical treatment of its pathologies, such as movement disorders and epilepsy, have greatly benefited from dedicated technical tools for the direct interaction with neuronal signals. However, a much wider spectrum of patients could benefit from the solution of scientific, medical, and technical challenges in neurotechnology. The overall scientific goal of BrainLinks-BrainTools has been to raise the bi-directional interaction between technical instruments and the brain to a new level by developing flexible yet stable, and adaptive yet robust applications of hybrid brain-machine interface systems. BrainLinks-BrainTools has been a coherent effort of basic and clinical neuroscientists, engineers, and computer scientists to exploit the activity of the brain to control implanted and external systems. BrainLinks-BrainTools is a strategic commitment of the University of Freiburg and scientists from medicine, biology, microsystems engineering, and computer science to neurotechnology, to perform outstanding research in these fields, support early career researchers, gain gender equality, and critically reflect ethics in science and technology. BrainLinks-BrainTools has been a part of an international axis of leading centers of neurotechnology and a dense network of industrial partners for training, dissemination, and translation. It has been established as a programmatic center of the University to integrate its research and training in neurotechnology, coherent in its structure and long-term in its design. BrainLinks-BrainTools successfully established the relevant structures and positions within the University of Freiburg. Scientists of BrainLinks-BrainTools successfully applied for a dedicated research building and received the top ranking from the German Science Council for its proposal of a center for Intelligent Machine Brain Interfacing technology (IMBIT), which will provide an outstanding research environment for more than 100 researchers from the area of neurotechnology. BrainLinks-BrainTools has been enormously successful on the scientific level. It generated more than 800 publications with many of them in highly ranked journals and in top-level conference proceedings of the corresponding scientific fields.

Publications

• "Stimulus Selection through Selective Synchronization between Monkey Visual Areas," Neuron, vol. 75, pp. 875-888, 2012
  C. Bosman, J. M. Schoffelen, R. Oostenfeld, T. Womelsdorf, N. Brunet, B. Rubehn, T. Stieglitz, P. Weers and P. Fries
  (See online at https://doi.org/10.1016/j.neuron.2012.06.037)
• "A polymer-based microimplant for optogenetic applications: design and first in vivo study," Lab on a Chip, vol. 13, pp. 579-588, 2013
  B. Rubehn, S. B. E. Wolff, P. Tovote, A. Luethi and T. Stieglitz
  (See online at https://doi.org/10.1039/c2lc40874k)
• "Neural activity in human hippocampal formation reveals the spatial context of retrieved memories," Science, vol. 342, pp. 1111-1114, 2013
  J. F. Miller, M. Neufang, A. Solway, A. Brandt, M. Trippel, I. Mader, S. Hefft, M. Merkow, S. M. Polyn, J. Jacobs, M. J. Kahana and A. Schulze-Bonhage
  (See online at https://doi.org/10.1126/science.1244056)
• "3D Mapping with an RGB-D Camera," IEEE Trans. on Robotics, vol. 30, pp. 177-187, 2014
  F. Endres, J. Hess, J. Sturm, D. Cremers and W. Burgard
  (See online at https://doi.org/10.1109/TRO.2013.2279412)
• "Concurrent stable and unstable cortical correlates of human wrist movements," Human Brain Mapping, vol. 35, pp. 3867- 3879, 2014
  M. Witte, F. Galán, S. Waldert, C. Braun and C. Mehring
  (See online at https://doi.org/10.1002/hbm.22443)
• "Epilepsy-induced motility of differentiated neurons," Cerebral Cortex, vol. 24, pp. 2130-2140, 2014
  X. Chai, G. Münzner, S. Zhao, S. Tinnes, J. Kowalski, U. Häussler, C. Young, C. A. Haas and M. Frotscher
  (See online at https://doi.org/10.1093/cercor/bht067)
• "Fast fMRI provides high statistical power in the analysis of epileptic networks," Neuroimage, vol. 88, pp. 282-294, 2014
  J. Jacobs, J. Stich, B. Zahneisen, J. Assländer, G. Ramantani, A. Schulze-Bonhage, R. Korinthenberg, J. Hennig and P. LeVan
  (See online at https://doi.org/10.1016/j.neuroimage.2013.10.018)
• "Joint CP-AMPA and group I mGlu receptor activation is required for synaptic plasticity in dentate gyrus fast-spiking interneurons," P Natl Acad Sci USA, vol. 111, pp. 13211-13216, 2014
  T. Hainmüller, K. Krieglstein, A. Kulik and M. Bartos
  (See online at https://doi.org/10.1073/pnas.1409394111)
• "Magnetic properties of materials for MR engineering, micro-MR and beyond," Journal of Magnetic Resonance, vol. 242, pp. 233-242, 2014
  M. C. Wapler, J. Leupold, J. Dragonu, D. M. Zaitsev and U. Wallrabe
  (See online at https://doi.org/10.1016/j.jmr.2014.02.005)
• "Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses," Science Translational Medicine, vol. 6, 2014
  Ciancio, C. Cipriani, M. C. Carrozza, W. Jensen, E. Guglielmelli, T. Stieglitz, P. M. Rossini and S. Micera
  (See online at https://doi.org/10.1126/scitranslmed.3006820)
• "Robust artifactual independent component classification for BCI practitioners," Journal of Neural Engineering, vol. 11, 2014
  I. Winkler, S. Brandl, F. Horn, E. Waldburger, C. Allefeld and M. Tangermann
  (See online at https://doi.org/10.1088/1741-2560/11/3/035013)
• "A detailed insight into drug delivery from PEDOT based on analytical methods: effects and side effects," Biomedical Materials Research Part A,, vol. 103, pp. 1200-1207, 2015
  C. Boehler and M. Asplund
  (See online at https://doi.org/10.1002/jbm.a.35252)
• "Astrocyte uncoupling as a cause of human temporal lobe epilepsy," Brain, vol. 138, pp. 1208-1222, 2015
  P. Bedner, A. Dupper, K. Hüttmann, J. Müller, M. K. Herde, P. Dublin, T. Deshpande, J. Schramm, U. Häussler, C. A. Haas, C. Henneberger, M. Theis and C. Steinhäuser
  (See online at https://doi.org/10.1093/brain/awv067)
• "Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification," International Journal of Neural Systems, vol. 25, 2015
  C. Donos, M. Dümpelmann and A. Schulze-Bonhage
  (See online at https://doi.org/10.1142/S0129065715500239)
• "Efficient and Robust Automated Machine Learning," Advances in Neural Information Processing Systems 28, 2015. 2962 ff.
  M. Feurer, A. Klein, K. Eggensperger, J. Springenberg, M. Blum and F. Hutter
  
• "Electrical stimulation of the medial forebrain bundle in pre-clinical studies of psychiatric disorders," Neuroscience and Biobehavioral Reviews, vol. 49, pp. 32-42, 2015
  M. D. Döbrössy, L. L. Furlanetti and V. A. Coenen
  (See online at https://doi.org/10.1016/j.neubiorev.2014.11.018)
• "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images," in Proceedings of the 28th International Conference on Neural Information Processing Systems (NIPS), 2015
  M. Watter, J. T. Springenberg, J. Boedecker and M. Riedmiller
  (See online at https://dl.acm.org/doi/10.5555/2969442.2969546)
• "Fabrication Process for Micro Thermoelectric Generators (μTEGs)," Journal of Electronic Materials, vol. 660, 10 2015
  U. Pelz, J. Jaklin, R. Rostek, F. Thoma, M. Kroener and P. Woias
  (See online at https://doi.org/10.1007/s11664-015-4088-7)
• "Intrinsic excitability measures track antiepileptic drug action and uncover increasing/decreasing excitability over the wake/sleep cycle," P Natl Acad Sci USA, vol. 112, pp. 14694-14699, 2015
  C. Meisel, A. Schulze-Bonhage, D. Freestone, M. J. Cook, P. Achermann and D. Plenz
  (See online at https://doi.org/10.1073/pnas.1513716112)
• "Nanostructured platinum grass enables superior impedance reduction for neural microelectrodes," Biomaterials, vol. 67, pp. 346-353, 2015
  C. Boehler, T. Stieglitz and M. Asplund
  (See online at https://doi.org/10.1016/j.biomaterials.2015.07.036)
• "New approaches for CMOS-based devices for large-scale neural recording," ScienceDirect, vol. 32, pp. 31-37, 2015
  P. Ruther and O. Paul
  (See online at https://doi.org/10.1016/j.conb.2014.10.007)
• "RFID Technology for Continuous Monitoring of Physiological Signals in Small Animals," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 618-626, 2015
  T. Volk, S. Gorbey, M. Bhattacharyya, W. Gruenwald, B. Lemmer, L. M. Reindl, T. Stieglitz and D. Jansen
  (See online at https://doi.org/10.1109/TBME.2014.2361856)
• "Strength and duration of perisomatic GABAergic inhibition depend on distance between synaptically connected cells," P Natl Acad Sci USA, vol. 112, pp. 1220-1226, 2015
  M. Strüber, P. Jonas and M. Bartos
  (See online at https://doi.org/10.1073/pnas.142362811)
• "Temporal and spatial characteristics of high frequency oscillations as a new biomarker in epilepsy," Epilepsia, vol. 56, pp. 197-206, 2015
  M. Dümpelmann, J. Jacobs and A. Schulze-Bonhage
  (See online at https://doi.org/10.1111/epi.12844)
• "Transient Reward Approximation for Continuous-Time Markov Chains," IEEE Transactions on Reliability, vol. 64, 2015
  E. M. Hahn, H. Hermanns, R. Wimmer and B. Becker
  (See online at https://doi.org/10.1109/TR.2015.2449292)
• "Autonomous Optimization of Targeted Stimulation of Neuronal Networks," PLoS Computational Biology, vol. 12, 2016
  S. S. Kumar, J. Wülfing, S. Okujeni, J. Boedecker, M. Riedmiller and U. Egert
  (See online at https://doi.org/10.1371/journal.pcbi.1005054)
• "Differential Roles of Ventral and Dorsal Streams for Conceptual and Production-Related Components of Tool Use in Acute Stroke Patients," Cerebral Cortex, vol. 26, pp. 3754-3771, 2016
  M. Martin, L. Beume, D. Kümmerer, C. S. Schmidt, T. Bormann, A. Dressing, V. M. Ludwig, R. M. Umarova, I. Mader, M. Rijntjes, C. P. Kaller and C. Weiller
  (See online at https://doi.org/10.1093/cercor/bhv179)
• "Efficient Wireless Powering of Biomedical Sensor Systems for Multichannel Brain Implants," IEEE Transactions on Instrumentation and Measurement, vol. 65, pp. 754-764, 2016
  S. Stöcklin, A. Yousaf, T. Volk and L. Reindl
  (See online at https://doi.org/10.1109/TIM.2015.2482278)
• "Gamma-Rhythmic Gain Modulation," Neuron, vol. 92, pp. 240-251, 2016
  J. Ni, T. Wunderle, C. M. Lewis, R. Desimone, I. Diester and P. Fries
  (See online at https://doi.org/10.1016/j.neuron.2016.09.003)
• "Mesolimbic dopamine signals the value of work," Nature neuroscience, vol. 19, no. 1, pp. 117-26, 2016
  A. A. Hamid, J. R. Pettibone, O. S. Mabrouk, V. L. Hetrick, R. Schmidt, C. M. Van der Weele, R. T. Kennedy, B. J. Aragona and J. D. Berke
  (See online at https://doi.org/10.1038/nn.4173)
• "Mossy fiber sprouting and pyramidal cell dispersion in the hippocampal CA2 region in a mouse model of temporal lobe epilepsy," Hippocampus, vol. 26, pp. 577-588, 2016
  U. Häussler, K. Rinas, A. Kilias, U. Egert and C. A. Haas
  (See online at https://doi.org/10.1002/hipo.22543)
• "Organizing objects by predicting user preferences through collaborative filtering," The International Journal of Robotics Research, vol. 35, 2016
  N. Abdo, C. Stachniss, L. Spinello and W. Burgard
  (See online at https://doi.org/10.1177/0278364916649248)
• "Predictors and signatures of recovery from neglect in acute stroke," Annals of Neurology, vol. 79, pp. 673-686, 2016
  R. M. Umarova, K. Nitschke, C. P. Kaller, S. Kloppel, L. Beume, I. Mader, M. Martin, J. Hennig and C. Weiller
  (See online at https://doi.org/10.1002/ana.24614)
• "Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model," Cerebral Cortex, vol. 26, pp. 2863-2681, 2016
  J. Hammer, T. Pistohl, J. Fischer, P. Krsek, M. Tomasek, P. Marusic, A. Schulze-Bonhage, A. Aertsen and T. Ball
  (See online at https://doi.org/10.1093/cercor/bhw033)
• "Quasi-Bessel beams from asymmetric and astigmatic illumination sources," Optics Express, vol. 24, pp. 17433-17452, 2016
  A. Müller, M. C. Wapler, U. T. Schwarz, M. Reisacher, K. Holc, O. Ambacher and U. Wallrabe
  (See online at https://doi.org/10.1364/OE.24.017433)
• "Recovery of Dynamics and Function in Spiking Neural Networks with Closed-Loop Control," PLoS Computational Biology, vol. 12, 2016
  I. Vlachos, T. Deniz, A. Aertsen and A. Kumar
  (See online at https://doi.org/10.1371/journal.pcbi.1004720)
• "Ultra-fast magnetic resonance encephalography of physiological brain activity-Glymphatic pulsation mechanisms?," Journal of Cerebral Blood Flow & Metabolism, vol. 36, pp. 1033-1045, 2016
  V. Kiviniemi, X. Wang, V. Korhonen, T. Keinänen, T. Tuovinen, J. Autio, P. LeVan, S. Keilholz, Y. Zang, J. Hennig and M. Nedergaard
  (See online at https://doi.org/10.1177/0271678X15622047)
• "A Functional Gradient in the Rodent Prefrontal Cortex Supports Behavioral Inhibition," Current Biology, vol. 27, pp. 549-555, 2017
  S. Hardung, R. Epple, Z. Jaeckel, D. Eriksson, C. Uran, V. Senn, L. Gibor, O. Yizhar and I. Diester
  (See online at https://doi.org/10.1016/j.cub.2016.12.052)
• "A Meta-analysis on the neural basis of planning: Activation likelihood estimation of functional brain imaging results in the Tower of London task," Human Brain Mapping, vol. 38, pp. 396-413, 2017
  K. Nitschke, L. Kostering, L. Finkel, C. Weiller and C. P. Kaller
  (See online at https://doi.org/10.1002/hbm.23368)
• "Actively controlled release of Dexamethasone from neural microelectrodes in a chronic in vivo study," Biomaterials, vol. 129, pp. 176-187, 2017
  C. Boehler, C. Kleber, N. Martini, Y. Xie, I. Dryg, T. Stieglitz and M. Asplund
  (See online at https://doi.org/10.1016/j.biomaterials.2017.03.019)
• "An Objective Comparison of Cell Tracking Algorithms," in Nature Methods, 2017
  V. Ulman, M. Mavka, K. E. G. Magnusson, O. Ronneberger, C. Haubold, N. Harder, P. Matula, P. Matula, D. Svoboda, M. Radojevic, I. Smal, K. Rohr, J. Jaldén, H. M. Blau, O. Dzyubachyk, B. P. F. Lelieveldt, P. Xiao, Y. Li, S.-Y. Cho, A. C. Dufour, J.-C. Olivo-Marin, C. C. Reyes-Aldasoro, J. A. Solís-Lemus, R. Bensch, T. Brox, J. Stegmaier, R. Mikut, S. Wolf, F. A. Hamprecht, T. Esteves, P. Quelhas, Ö. Demirel, L. Malmström, F. Jug, P. Tomançak, E. H. W. Meijering, A. Muñoz-Barrutia, M. Kozubek and C. O. de-Solórzano
  (See online at https://doi.org/10.1038/nmeth.4473)
• "Correlations between Motor Symptoms across Different Motor Tasks, Quantified via Random Forest Feature Classification in Parkinson's Disease," Frontiers in Neurology, vol. 8, p. 607, 2017
  A. Kuhner, T. Schubert, M. Cenciarini, I. K. Wiesmeier, V. A. Coenen, W. Burgard, C. Weiller and C. Maurer
  (See online at https://doi.org/10.3389/fneur.2017.00607)
• "Deep learning with convolutional neural networks for EEG decoding and visualization," Human Brain Mapping, vol. 38, pp. 5391-5420, 2017
  R. T. Schirrmeister, J. T. Springenberg, L. D. J. Fiederer, M. Glasstetter, K. Eggensperger, M. Tangermann, F. Hutter, W. Burgard and T. Ball
  (See online at https://doi.org/10.1002/hbm.23730)
• "Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus," Nature Comm, vol. 8, 2017
  M. Strüber, J. F. Sauer, P. Jonas and M. Bartos
  (See online at https://doi.org/10.1038/s41467-017-00936-3)
• "Distinct white matter alterations following severe stroke: Longitudinal DTI study in neglect," Neurology, vol. 88, pp. 1546-1555, 2017
  R. M. Umarova, L. Beume, M. Reisert, C. P. Kaller, S. Kloppel, I. Mader, V. Glauche, V. G. Kiselev, M. Catani and C. Weiller
  (See online at https://doi.org/10.1212/WNL.0000000000003843)
• "Four ethical priorities for neurotechnologies and AI," Nature News, vol. 551, pp. 159-163, 2017
  R. Yuste, S. Goering, G. B. Blaise Agüera y Arcas, J. M. Carmena, A. Carter, J. J. Fins, P. Friesen, J. Gallant, J. E. Huggins, J. Illes, P. Kellmeyer, E. Klein, A. Marblestone, C. Mitchell, E. Parens, M. Pham, A. Rubel, N. Sadato, L. S. Sullivan, M. Teicher, D. Wasserman, A. Wexler, M. Whittaker and J. Wolpaw
  (See online at https://doi.org/10.1038/551159a)
• "Global, Dense Multiscale Reconstruction for a Billion Points," International Journal of Computer Vision, vol. 125, pp. 82-94, 2017
  B. Ummenhofer and T. Brox
  (See online at https://doi.org/10.1109/ICCV.2015.158)
• "How to record HFOs in epilepsy: a practical guideline," Epilepsia, vol. 58, pp. 1305-1315, 2017
  M. Zijlmans, G. Worrell, M. Dümpelmann, T. Stiegliz, A. Barborica, M. Heers, A. Ikeda, N. Usui and M. Le Van Quyen
  (See online at https://doi.org/10.1111/epi.13814)
• "Improving zero-training brain-computer interfaces by mixing model estimators," Journal of Neural Engineering, vol. 14, 2017
  T. Verhoeven, D. Hübner, M. Tangermann, K.-R. Müller, J. Dambre and P.-J. Kindermans
  (See online at https://doi.org/10.1088/1741-2552/aa6639)
• "Learning to Generate Chairs, Tables and Cars with Convolutional Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, pp. 692-705, 2017
  A. Dosovitskiy, J. T. Springenberg, M. Tatarchenko and T. Brox
  (See online at https://doi.org/10.1109/TPAMI.2016.2567384)
• "Let There Be Light - Optoprobes for Neural Implants," Proceedings of the IEEE, vol. 105, pp. 101-138, 2017
  M. T. Alt, E. Fiedler, L. Rudmann, J. S. Ordonez, P. Ruther and T. Stieglitz
  (See online at https://doi.org/10.1109/JPROC.2016.2577518)
• "Mesoscale architecture shapes initiation and richness of spontaneous network activity," Journal of Neuroscience, vol. 37, pp. 3972-3987, 2017
  S. Okujeni, S. Kandler and U. Egert
  (See online at https://doi.org/10.1523/JNEUROSCI.2552-16.2017)
• "Organization of prefrontal network activity by respiration-related oscillations," in Scientific reports, 2017
  J. Biskamp, M. Bartos and J.-F. Sauer
  (See online at https://doi.org/10.1038/srep45508)
• "Segmented Bessel Beams," Optics Express, vol. 25, pp. 22640-22646, 2017
  A. Müller, M. C. Wapler and U. Wallrabe
  (See online at https://doi.org/10.1364/OE.25.022640)
• "Shakey 2016 - How Much Does it Take to Redo Shakey the Robot?," IEEE Robotics and Automation Letters (RA-L), vol. 2, pp. 1203-1209, 2017
  D. Speck, C. Dornhege and W. Burgard
  (See online at https://doi.org/10.1109/LRA.2017.2665694)
• "Somatostatin-positive interneurons in the dentate gyrus of mice provide local- and long-range septal synaptic inhibition," eLife, vol. 6, 2017
  M. Yuan, T. Meyer, C. Benkowitz, S. Savanthrapadian, L. Ansel-Bollepalli, A. Foggetti, P. Wulff, P. Alcami, C. Elgueta and M. Bartos
  (See online at https://doi.org/10.7554/eLife.21105)
• "Synaptic remodeling of entorhinal input contributes to an aberrant hippocampal network in temporal lobe epilepsy," Cerebral Cortex, vol. 27, pp. 2348-2364, 2017
  P. Janz, S. Savanthrapadian, U. Häussler, A. Kilias, S. Nestel, O. Kretz, M. Kirsch, M. Bartos, U. Egert and C. A. Haas
  (See online at https://doi.org/10.1093/cercor/bhw093)
• "Versatile, modular three-dimensional microelectrode arrays for neuronal ensemble recordings: from design to fabrication, assembly, and functional validation in non-human primates," Journal of Neural Engineering, vol. 14, 2017
  F. Barz, A. Livi, M. Lanzilotto, M. Maranesi, L. Bonini, O. Paul and P. Ruther
  (See online at https://doi.org/10.1088/1741-2552/aa5a90)
• eining, U. Häussler, J. G. Korvink, D. Elverfeldt, J. Hennig, U. Egert, P. LeVan and C. A. Haas, "Early tissue damage and microstructural reorganization predict disease severity of experimental epilepsy," Elife, vol. 6, p. e25742, 2017
  P. Janz, N. Schwaderlapp, K. Heining, U. Häussler, J. G. Korvink, D. Elverfeldt, J. Hennig, U. Egert, P. LeVan and C. A. Haas
  (See online at https://doi.org/10.7554/eLife.25742)
• "A 22 V Compliant 56 μ W Twin- Track Active Charge Balancing Enabling 100% Charge Compensation Even in Monophasic and 36% Amplitude Correction in Biphasic Neural Stimulators," IEEE Journal of Solid-State Circuits, vol. 53, pp. 2298-2310, 2018
  N. Butz, A. Taschwer, S. Nessler, Y. Manoli and M. Kuhl
  (See online at https://doi.org/10.1109/JSSC.2018.2828823)
• "Aspherical high-speed varifocal mirror for miniature catadioptric objectives," Optics Express, vol. 26, pp. 6090-6102, 2018
  M. C. Wapler, F. Lemke, G. Alia and U. Wallrabe
  (See online at https://doi.org/10.1364/OE.26.006090)
• "Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks," Scientific Reports, vol. 8, 2018
  J. V. Gallinaro and S. Rotter
  (See online at https://doi.org/10.1038/s41598-018-22077-3)
• "CMOS Neural Probe with 1600 Close-packed Recording Sites and 32 Analog Output Channels," Journal of Microelectromechanical Systems, vol. 27, pp. 1023-1034, 2018
  A. S. Herbawi, O. Christ, L. Kiessner, S. Mottaghi, U. G. Hofmann, O. Paul and P. Ruther
  (See online at https://doi.org/10.1109/JMEMS.2018.2872619)
• "Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification," Journal of Neurophysiology, vol. 120 3, pp. 1212-1232, 2018
  A. P. Buccino, M. Kordovan, T. V. Ness, B. Merkt, P. Häfliger, M. Fyhn, G. Cauwenberghs, S. Rotter and G. T. Einevoll
  (See online at https://doi.org/10.1152/jn.00210.2018)
• "Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller," in International Joint Conference on Neural Networks (IJCNN), 2018
  M. Hügle, S. Heller, M. Watter, M. Blum, F. Manzouri, M. Dümpelmann, A. Schulze- Bonhage, P. Woias and J. Boedecker
  (See online at https://doi.org/10.1109/IJCNN.2018.8489493)
• "Engrafted parenchymal brain macrophages differ from microglia in transcriptome, chromatin landscape and response to challenge," Nature Communications, vol. 9, p. 5206, 2018
  A. Shemer, J. Grozovski, T. L. Tay, J. Tao, A. Volaski, P. Süß, A. Ardura-Fabregat, J. S. Gross-Vered, E. David, L. Chappell-Maor, L. Thielecke, C. K. Glass, K. Cornils, M. Prinz and S. Jung
  (See online at https://doi.org/10.1038/s41467-018-07548-5)
• "From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals," in PLoS Computational Biology, 2018
  J. Schiefer, A. Niederbühl, V. Pernice, C. Lennartz, J. Hennig, P. LeVan and S. Rotter
  (See online at https://doi.org/10.1371/journal.pcbi.1006056)
• "Fully Immersible Subcortical Neural Probes With Modular Architecture and a Delta-Sigma ADC Integrated Under Each Electrode for Parallel Readout of 144 Recording Sites," IEEE Journal of Solid-State Circuits, vol. 53, pp. 3111-3125, 2018
  D. D. Dorigo, C. Moranz, H. Graf, M. Marx, D. Wendler, B. Shui, A. S. Herbawi, M. Kuhl, P. Ruther, O. Paul and Y. Manoli
  (See online at https://doi.org/10.1109/JSSC.2018.2873180)
• "Incorporation of Silicon Carbide and Diamond‐Like Carbon as Adhesion Promoters Improves In Vitro and In Vivo Stability of Thin-Film Glassy Carbon Electrocorticography Arrays," Adv. Biosys., vol. 2, 2018
  M. Vomero, E. Castagnola, J. S. Ordonez, S. Carli, E. Zucchini, E. Maggiolini, C. Gueli, N. Goshi, F. Ciarpella, C. Cea, L. Fadiga, D. Ricci, S. Kassegne and T. Stieglitz
  (See online at https://doi.org/10.1002/adbi.201700081)
• "Parallel emergence of stable and dynamic memory engrams in the hippocampus," Nature, vol. 558, pp. 292-296, 2018
  T. Hainmueller and M. Bartos
  (See online at https://doi.org/10.1038/s41586-018-0191-2)
• "Reallife speech production and perception have a shared premotor-cortical substrate," Scientific Reports, vol. 8, 2018
  O. Glanz, J. Derix, R. Kaur, A. Schulze-Bonhage, P. Auer, A. Aertsen and T. Ball
  (See online at https://doi.org/10.1038/s41598-018-26801-x)
• "Should patients with brain implants undergo MRI?," Journal of Neural Engineering, vol. 15 4, p. 041002, 2018
  J. B. Erhardt, E. Fuhrer, O. G. Gruschke, J. Leupold, M. C. Wapler, J. Hennig, T. Stieglitz and J. G. Korvink
  (See online at https://doi.org/10.1088/1741-2552/aab4e4)
• "Social robots in rehabilitation: A question of trust," Science Robotics, vol. 3, p. eaat1587, 2018
  P. Kellmeyer, O. Mueller, R. Feingold-Polak and S. Levy-Tzedek
  (See online at https://doi.org/10.1126/scirobotics.aat1587)
• "Synchrony surfacing: Epicortical recording of correlated action potentials," The European Journal of Neuroscience, vol. 48 12, pp. 3583-3596, 2018
  T. Bockhorst, F. Pieper, G. Engler, T. Stieglitz, E. E. Galindo-Leon and A. K. Engel
  (See online at https://doi.org/10.1111/ejn.14167)
• "The dynamics of error processing in the human brain as reflected by highgamma activity in noninvasive and intracranial EEG," Neuroimage, vol. 173, pp. 564-579, 2018
  M. Völker, L. D. J. Fiederer, S. Berberich, J. Hammer, J. Behncke, P. Krsek, M. Tomasek, P. Marusic, P. C. Reinacher, V. A. Coenen, M. Helias, A. Schulze-Bonhage, W. Burgard and T. Ball
  (See online at https://doi.org/10.1016/j.neuroimage.2018.01.059)
• "The effects of bilateral, continuous, and chronic Deep Brain Stimulation of the medial forebrain bundle in a rodent model of depression," Experimental Neurology, vol. 303, pp. 153-161, 2018
  S. Thiele, L. Furlanetti, L.-M. Pfeiffer, V. A. Coenen and M. D. Döbrössy
  (See online at https://doi.org/10.1016/j.expneurol.2018.02.002)
• "Tractography-assisted deep brain stimulation of the superolateral branch of the medial forebrain bundle (slMFB DBS) in major depression," Neuroimage Clin, vol. 20, pp. 580-593, 2018
  V. A. Coenen, B. Sajonz, M. Reisert, J. Bostroem, B. Bewernick, H. Urbach, C. Jenkner, P. C. Reinacher, T. E. Schlaepfer and B. Mädler
  (See online at https://doi.org/10.1016/j.nicl.2018.08.020)
• "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?," International Journal of Computer Vision, vol. 126, pp. 942-960, 2018
  N. Mayer, E. Ilg, P. Fischer, C. Hazirbas, D. Cremers, A. Dosovitskiy and T. Brox
  (See online at https://doi.org/10.1007/s11263-018-1082-6)
• 2] P. Janz, P. Hauser, K. Heining, S. Nestel, M. Kirsch, U. Egert and C. A. Haas, "Positionand Time-Dependent Arc Expression Links Neuronal Activity to Synaptic Plasticity During Epileptogenesis," Frontiers in Cellular Neuroscience, vol. 12, 2018
  P. Janz, P. Hauser, K. Heining, S. Nestel, M. Kirsch, U. Egert and C. A. Haas
  (See online at https://doi.org/10.3389/fncel.2018.00244)
• "A quick and accurate method to determine the Poisson's ratio and the coefficient of thermal expansion of PDMS," Soft Matter, vol. 15, pp. 779-784, 2019
  A. Müller, M. C. Wapler and U. Wallrabe
  (See online at https://doi.org/10.1039/c8sm02105h)
• "A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing," Robotics and Autonomous Systems, vol. 116, pp. 98-113, 2019
  D. Kuhner, L. Fiederer, J. Aldinger, F. Burget, M. Völker, R. Schirrmeister, C. Do, J. Boedecker, B. Nebel, T. Ball and W. Burgard
  (See online at https://doi.org/10.1016/j.robot.2019.02.015)
• "Applications of PEDOT in Bioelectronic Medicine," Bioelectronics in Medicine, 2019
  C. Boehler, Z. Aqrawe and M. Asplund
  (See online at https://doi.org/10.2217/bem-2019-0014)
• "CMOS-compatible, Flexible, Intracortical Neural Probes," IEEE Transactions on Biomedical Engineering, 2019
  F. Barz., V. Trouillet, O. Paul and P. Ruther
  (See online at https://doi.org/10.1109/TBME.2019.2936740)
• "Ethical Tensions in Virtual Reality Treatment in Vulnerable Patients," Nature Medicine, pp. 1185-1188, 2019
  P. Kellmeyer, N. Biller-Andorno and G. Meynen
  (See online at https://doi.org/10.1038/s41591-019-0543-y)
• "GluA4-targeted AAV vectors deliver genes selectively to interneurons while relying onthe AAV receptor for entry," Molecular Therapy - Methods and Clinical Development, vol. 14, pp. 252-260, 2019
  J. Hartmann, F. Thalheimer, F. Höpfner, T. Kerzel, K. Khodosevich, D. García-González, H. Monyer, I. Diester, H. Büning, J. E. Carette, P. Fries and C. J. Buchholz
  (See online at https://doi.org/10.1016/j.omtm.2019.07.004)
• "Gradient-induced mechanical vibration of neural interfaces during MRI," IEEE Transactions on Biomedical Engineering, 2019
  E. Fuhrer, M. Jouda, C. O. Klein, M. Wilhelm and J. G. Korvink
  (See online at https://doi.org/10.1109/TBME.2019.2923693)
• "Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings with Deep Regression.," Frontiers in Neurorobotics, vol. 13, no. 76, 2019
  L. D. Fiederer, M. Völker, R. T. Schirrmeister, W. Burgard, J. Boedecker and T. Ball
  (See online at https://doi.org/10.3389/fnbot.2019.00076)
• "Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, pp. 378-388, 2019
  A. Meinel, H. Kolkhorst and M. Tangermann
  (See online at https://doi.org/10.1109/TNSRE.2019.2894914)
• "Moral Permissibility of Action Plans," in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
  F. Lindner, R. Mattmüller and B. Nebel
  (See online at https://doi.org/10.1609/aaai.v33i01.33017635)
• "Network remodeling induced by transcranial brain stimulation: A computational model of tDCS-triggered cell assembly formation," Network Neuroscience, vol. 3, pp. 924-943, 2019
  H. Lu, J. V. Gallinaro and S. Rotter
  (See online at https://doi.org/10.1162/netn_a_00097)
• "New life for old wires: Electrochemical sensor method for neural implants," Journal of Neural Engineering, 2019
  A. Weltin, D. Ganatra, K. König, K. Joseph, U. G. Hofmann, G. A. Urban and J. Kieninger
  (See online at https://doi.org/10.1088/1741-2552/ab4c69)
• "Non‐invasive assessment of superficial and deep layer circuits in human motor cortex," The Journal of Physiology, vol. 597, 5 2019
  A. Kurz, W. Xu, P. Wiegel, C. Leukel and S. Baker
  (See online at https://doi.org/10.1113/JP277849)
• "Propagation of orientation selectivity in a spiking network model of layered primary visual cortex," PLOS Computational Biology, vol. 15, p. e1007080, 2019
  B. Merkt, F. Schüßler and S. Rotter
  (See online at https://doi.org/10.1371/journal.pcbi.1007080)
• "Self-Supervised Model Adaptation for Multimodal Semantic Segmentation," International Journal of Computer Vision, 2019
  A. Valada, R. Mohan and W. Burgard
  (See online at https://doi.org/10.1007/s11263-019-01188-y)
• "Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain," Nature Medicine, vol. 25, pp. 1356-1363, 2019
  F. P. Petrini, M. Bumbasirevic, G. Valle, V. Ilic, P. Mijovic, P. Cvancara, F. Barberi, D. Bortolotti, D. Andreu, J.-L. Divoux, K. Lechler, A. Lesic, S. Mazic, B. Mijovic, D. Guiraud, T. Stieglitz, A. Asgeir, S. Micera and S. Raspopovic
  (See online at https://doi.org/10.1038/s41591-019-0567-3)
• "Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation," Science, vol. 363, 2019
  M. J. C. Jordao, R. Sankowski, S. M. Brendecke, Sagar, G. Locatelli, Y. H. Tai, T. L. Tay, E. Schramm, S. Armbruster, N. Hagemeyer, O. Gross, D. Mai, O. Cicek, T. Falk, M. Kerschensteiner, D. Grun and M. Prinz
  (See online at https://doi.org/10.1126/science.aat7554)
• "U-Net: deep learning for cell counting, detection and morphometrie," Nature Methods, vol. 16, pp. 67-70, 2019
  T. Falk, D. Mai, R. Bensch, Ö. Cicek, A. Abdulkadir, Y. Marrakchi, A. Böhm, J. Deubner, Z. Jäckel, K. Seiwald, A. Dovzhenko, O. Tietz, C. D. Bosco, S. Walsh, D. Saltukoglu, T. L. Tay, M. Prinz, K. Palme, M. Simons, I. Diester, T. Brox and O. Ronneberger
  (See online at https://doi.org/10.1038/s41592-018-0261-2)
• "VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control," IEEE Robotics and Automation Letters (RA-L), vol. 4, pp. 1148-1155, 2019
  J. Zhang, L. Tai, Y. Peng, Y. Xiong, M. Liu, J. Boedecker and W. Burgard
  (See online at https://doi.org/10.1109/LRA.2019.2894216)
• "Wafer-scale fabrication of conducting polymer hydrogels for microelectrodes and flexible bioelectronics," Advanced Biosystems, vol. 3, 2019
  C. Kleber, K. Lienkamp, J. Rühe and M. Asplund
  (See online at https://doi.org/10.1002/adbi.201900072)
• Automated Machine Learning - Methods, Systems, Challenges, Springer, 2019
  F. Hutter, L. Kotthoff and J. Vanschoren (eds.)