[{"month":"03","day":"15","publication_identifier":{"issn":["19466234"]},"scopus_import":1,"doi":"10.1126/scitranslmed.aam9867","date_published":"2017-03-15T00:00:00Z","language":[{"iso":"eng"}],"publication":"Science Translational Medicine","citation":{"chicago":"Novarino, Gaia. “Modeling Alzheimer’s Disease in Mice with Human Neurons.” Science Translational Medicine. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/scitranslmed.aam9867.","short":"G. Novarino, Science Translational Medicine 9 (2017).","mla":"Novarino, Gaia. “Modeling Alzheimer’s Disease in Mice with Human Neurons.” Science Translational Medicine, vol. 9, no. 381, eaam9867, American Association for the Advancement of Science, 2017, doi:10.1126/scitranslmed.aam9867.","ieee":"G. Novarino, “Modeling Alzheimer’s disease in mice with human neurons,” Science Translational Medicine, vol. 9, no. 381. American Association for the Advancement of Science, 2017.","apa":"Novarino, G. (2017). Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. American Association for the Advancement of Science. https://doi.org/10.1126/scitranslmed.aam9867","ista":"Novarino G. 2017. Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. 9(381), eaam9867.","ama":"Novarino G. Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. 2017;9(381). doi:10.1126/scitranslmed.aam9867"},"quality_controlled":"1","abstract":[{"text":"Human neurons transplanted into a mouse model for Alzheimer’s disease show human-specific vulnerability to β-amyloid plaques and may help to identify new therapeutic targets.","lang":"eng"}],"publist_id":"7079","issue":"381","article_number":"eaam9867","type":"journal_article","author":[{"full_name":"Novarino, Gaia","first_name":"Gaia","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178"}],"date_updated":"2021-01-12T08:07:59Z","date_created":"2018-12-11T11:47:45Z","volume":9,"oa_version":"None","_id":"656","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","year":"2017","title":"Modeling Alzheimer's disease in mice with human neurons","status":"public","publication_status":"published","intvolume":" 9","publisher":"American Association for the Advancement of Science","department":[{"_id":"GaNo"}]},{"abstract":[{"lang":"eng","text":"With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task at hand. While very successful in many applications, self-organized control schemes seem to be favored in large complex systems with unknown dynamics or which are difficult to model. Reasons are the expected scalability, robustness, and resilience of self-organizing systems. The paper presents a self-learning neurocontroller based on extrinsic differential plasticity introduced recently, applying it to an anthropomorphic musculoskeletal robot arm with attached objects of unknown physical dynamics. The central finding of the paper is the following effect: by the mere feedback through the internal dynamics of the object, the robot is learning to relate each of the objects with a very specific sensorimotor pattern. Specifically, an attached pendulum pilots the arm into a circular motion, a half-filled bottle produces axis oriented shaking behavior, a wheel is getting rotated, and wiping patterns emerge automatically in a table-plus-brush setting. By these object-specific dynamical patterns, the robot may be said to recognize the object's identity, or in other words, it discovers dynamical affordances of objects. Furthermore, when including hand coordinates obtained from a camera, a dedicated hand-eye coordination self-organizes spontaneously. These phenomena are discussed from a specific dynamical system perspective. Central is the dedicated working regime at the border to instability with its potentially infinite reservoir of (limit cycle) attractors "waiting" to be excited. Besides converging toward one of these attractors, variate behavior is also arising from a self-induced attractor morphing driven by the learning rule. We claim that experimental investigations with this anthropomorphic, self-learning robot not only generate interesting and potentially useful behaviors, but may also help to better understand what subjective human muscle feelings are, how they can be rooted in sensorimotor patterns, and how these concepts may feed back on robotics."}],"issue":"MAR","type":"journal_article","file":[{"date_created":"2018-12-12T10:18:49Z","date_updated":"2020-07-14T12:47:33Z","checksum":"b1bc43f96d1df3313c03032c2a46388d","file_id":"5371","relation":"main_file","creator":"system","file_size":8439566,"content_type":"application/pdf","file_name":"IST-2017-903-v1+1_fnbot-11-00008.pdf","access_level":"open_access"}],"oa_version":"Published Version","pubrep_id":"903","status":"public","ddc":["006"],"title":"Self organized behavior generation for musculoskeletal robots","intvolume":" 11","_id":"658","user_id":"2EBD1598-F248-11E8-B48F-1D18A9856A87","day":"16","article_processing_charge":"Yes","has_accepted_license":"1","scopus_import":1,"date_published":"2017-03-16T00:00:00Z","publication":"Frontiers in Neurorobotics","citation":{"ama":"Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008","ieee":"R. Der and G. S. Martius, “Self organized behavior generation for musculoskeletal robots,” Frontiers in Neurorobotics, vol. 11, no. MAR. Frontiers Research Foundation, 2017.","apa":"Der, R., & Martius, G. S. (2017). Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. Frontiers Research Foundation. https://doi.org/10.3389/fnbot.2017.00008","ista":"Der R, Martius GS. 2017. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 11(MAR), 00008.","short":"R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).","mla":"Der, Ralf, and Georg S. Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics, vol. 11, no. MAR, 00008, Frontiers Research Foundation, 2017, doi:10.3389/fnbot.2017.00008.","chicago":"Der, Ralf, and Georg S Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics. Frontiers Research Foundation, 2017. https://doi.org/10.3389/fnbot.2017.00008."},"license":"https://creativecommons.org/licenses/by/4.0/","file_date_updated":"2020-07-14T12:47:33Z","ec_funded":1,"publist_id":"7078","article_number":"00008","date_created":"2018-12-11T11:47:45Z","date_updated":"2021-01-12T08:08:04Z","volume":11,"author":[{"last_name":"Der","first_name":"Ralf","full_name":"Der, Ralf"},{"full_name":"Martius, Georg S","last_name":"Martius","first_name":"Georg S","id":"3A276B68-F248-11E8-B48F-1D18A9856A87"}],"publication_status":"published","department":[{"_id":"ChLa"},{"_id":"GaTk"}],"publisher":"Frontiers Research Foundation","year":"2017","month":"03","publication_identifier":{"issn":["16625218"]},"language":[{"iso":"eng"}],"doi":"10.3389/fnbot.2017.00008","quality_controlled":"1","project":[{"name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7","grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1},{"article_number":"14832","file_date_updated":"2020-07-14T12:47:34Z","publist_id":"7075","publication_status":"published","publisher":"Nature Publishing Group","department":[{"_id":"MiSi"}],"year":"2017","date_created":"2018-12-11T11:47:46Z","date_updated":"2021-01-12T08:08:06Z","volume":8,"author":[{"first_name":"Frieda","last_name":"Kage","full_name":"Kage, Frieda"},{"first_name":"Moritz","last_name":"Winterhoff","full_name":"Winterhoff, Moritz"},{"full_name":"Dimchev, Vanessa","first_name":"Vanessa","last_name":"Dimchev"},{"last_name":"Müller","first_name":"Jan","id":"AD07FDB4-0F61-11EA-8158-C4CC64CEAA8D","full_name":"Müller, Jan"},{"first_name":"Tobias","last_name":"Thalheim","full_name":"Thalheim, Tobias"},{"full_name":"Freise, Anika","first_name":"Anika","last_name":"Freise"},{"first_name":"Stefan","last_name":"Brühmann","full_name":"Brühmann, Stefan"},{"full_name":"Kollasser, Jana","first_name":"Jana","last_name":"Kollasser"},{"last_name":"Block","first_name":"Jennifer","full_name":"Block, Jennifer"},{"full_name":"Dimchev, Georgi A","first_name":"Georgi A","last_name":"Dimchev"},{"full_name":"Geyer, Matthias","last_name":"Geyer","first_name":"Matthias"},{"full_name":"Schnittler, Hams","last_name":"Schnittler","first_name":"Hams"},{"last_name":"Brakebusch","first_name":"Cord","full_name":"Brakebusch, Cord"},{"full_name":"Stradal, Theresia","first_name":"Theresia","last_name":"Stradal"},{"first_name":"Marie","last_name":"Carlier","full_name":"Carlier, Marie"},{"full_name":"Sixt, Michael K","orcid":"0000-0002-6620-9179","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","last_name":"Sixt","first_name":"Michael K"},{"full_name":"Käs, Josef","first_name":"Josef","last_name":"Käs"},{"full_name":"Faix, Jan","last_name":"Faix","first_name":"Jan"},{"full_name":"Rottner, Klemens","first_name":"Klemens","last_name":"Rottner"}],"month":"03","publication_identifier":{"issn":["20411723"]},"quality_controlled":"1","oa":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"language":[{"iso":"eng"}],"doi":"10.1038/ncomms14832","type":"journal_article","abstract":[{"lang":"eng","text":"Migration frequently involves Rac-mediated protrusion of lamellipodia, formed by Arp2/3 complex-dependent branching thought to be crucial for force generation and stability of these networks. The formins FMNL2 and FMNL3 are Cdc42 effectors targeting to the lamellipodium tip and shown here to nucleate and elongate actin filaments with complementary activities in vitro. In migrating B16-F1 melanoma cells, both formins contribute to the velocity of lamellipodium protrusion. Loss of FMNL2/3 function in melanoma cells and fibroblasts reduces lamellipodial width, actin filament density and -bundling, without changing patterns of Arp2/3 complex incorporation. Strikingly, in melanoma cells, FMNL2/3 gene inactivation almost completely abolishes protrusion forces exerted by lamellipodia and modifies their ultrastructural organization. Consistently, CRISPR/Cas-mediated depletion of FMNL2/3 in fibroblasts reduces both migration and capability of cells to move against viscous media. Together, we conclude that force generation in lamellipodia strongly depends on FMNL formin activity, operating in addition to Arp2/3 complex-dependent filament branching."}],"title":"FMNL formins boost lamellipodial force generation","status":"public","ddc":["570"],"intvolume":" 8","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"659","oa_version":"Published Version","file":[{"access_level":"open_access","file_name":"IST-2017-902-v1+1_Kage_et_al-2017-Nature_Communications.pdf","content_type":"application/pdf","file_size":9523746,"creator":"system","relation":"main_file","file_id":"5072","checksum":"dae30190291c3630e8102d8714a8d23e","date_created":"2018-12-12T10:14:21Z","date_updated":"2020-07-14T12:47:34Z"}],"pubrep_id":"902","scopus_import":1,"day":"22","article_processing_charge":"No","has_accepted_license":"1","publication":"Nature Communications","citation":{"apa":"Kage, F., Winterhoff, M., Dimchev, V., Müller, J., Thalheim, T., Freise, A., … Rottner, K. (2017). FMNL formins boost lamellipodial force generation. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms14832","ieee":"F. Kage et al., “FMNL formins boost lamellipodial force generation,” Nature Communications, vol. 8. Nature Publishing Group, 2017.","ista":"Kage F, Winterhoff M, Dimchev V, Müller J, Thalheim T, Freise A, Brühmann S, Kollasser J, Block J, Dimchev GA, Geyer M, Schnittler H, Brakebusch C, Stradal T, Carlier M, Sixt MK, Käs J, Faix J, Rottner K. 2017. FMNL formins boost lamellipodial force generation. Nature Communications. 8, 14832.","ama":"Kage F, Winterhoff M, Dimchev V, et al. FMNL formins boost lamellipodial force generation. Nature Communications. 2017;8. doi:10.1038/ncomms14832","chicago":"Kage, Frieda, Moritz Winterhoff, Vanessa Dimchev, Jan Müller, Tobias Thalheim, Anika Freise, Stefan Brühmann, et al. “FMNL Formins Boost Lamellipodial Force Generation.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/ncomms14832.","short":"F. Kage, M. Winterhoff, V. Dimchev, J. Müller, T. Thalheim, A. Freise, S. Brühmann, J. Kollasser, J. Block, G.A. Dimchev, M. Geyer, H. Schnittler, C. Brakebusch, T. Stradal, M. Carlier, M.K. Sixt, J. Käs, J. Faix, K. Rottner, Nature Communications 8 (2017).","mla":"Kage, Frieda, et al. “FMNL Formins Boost Lamellipodial Force Generation.” Nature Communications, vol. 8, 14832, Nature Publishing Group, 2017, doi:10.1038/ncomms14832."},"date_published":"2017-03-22T00:00:00Z"},{"author":[{"full_name":"Rickman, Jamie","first_name":"Jamie","last_name":"Rickman"},{"last_name":"Düllberg","first_name":"Christian F","orcid":"0000-0001-6335-9748","id":"459064DC-F248-11E8-B48F-1D18A9856A87","full_name":"Düllberg, Christian F"},{"full_name":"Cade, Nicholas","last_name":"Cade","first_name":"Nicholas"},{"full_name":"Griffin, Lewis","first_name":"Lewis","last_name":"Griffin"},{"first_name":"Thomas","last_name":"Surrey","full_name":"Surrey, Thomas"}],"volume":114,"date_updated":"2021-01-12T08:08:09Z","date_created":"2018-12-11T11:47:46Z","pmid":1,"year":"2017","acknowledgement":"We thank Philippe Cluzel for helpful discussions and Gunnar Pruessner for data analysis advice. This work was supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK Grant FC001163, Medical Research Council Grant FC001163, and Wellcome Trust Grant FC001163. This work was also supported by European Research Council Advanced Grant Project 323042 (to C.D. and T.S.).","department":[{"_id":"MaLo"}],"publisher":"National Academy of Sciences","publication_status":"published","publist_id":"7073","doi":"10.1073/pnas.1620274114","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380103/","open_access":"1"}],"external_id":{"pmid":["28280102"]},"oa":1,"quality_controlled":"1","publication_identifier":{"issn":["00278424"]},"month":"03","oa_version":"Submitted Version","_id":"660","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":" 114","title":"Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation","status":"public","issue":"13","abstract":[{"text":"Growing microtubules are protected from depolymerization by the presence of a GTP or GDP/Pi cap. End-binding proteins of the EB1 family bind to the stabilizing cap, allowing monitoring of its size in real time. The cap size has been shown to correlate with instantaneous microtubule stability. Here we have quantitatively characterized the properties of cap size fluctuations during steadystate growth and have developed a theory predicting their timescale and amplitude from the kinetics of microtubule growth and cap maturation. In contrast to growth speed fluctuations, cap size fluctuations show a characteristic timescale, which is defined by the lifetime of the cap sites. Growth fluctuations affect the amplitude of cap size fluctuations; however, cap size does not affect growth speed, indicating that microtubules are far from instability during most of their time of growth. Our theory provides the basis for a quantitative understanding of microtubule stability fluctuations during steady-state growth.","lang":"eng"}],"type":"journal_article","date_published":"2017-03-28T00:00:00Z","citation":{"ama":"Rickman J, Düllberg CF, Cade N, Griffin L, Surrey T. Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. 2017;114(13):3427-3432. doi:10.1073/pnas.1620274114","ista":"Rickman J, Düllberg CF, Cade N, Griffin L, Surrey T. 2017. Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. 114(13), 3427–3432.","ieee":"J. Rickman, C. F. Düllberg, N. Cade, L. Griffin, and T. Surrey, “Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation,” PNAS, vol. 114, no. 13. National Academy of Sciences, pp. 3427–3432, 2017.","apa":"Rickman, J., Düllberg, C. F., Cade, N., Griffin, L., & Surrey, T. (2017). Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1620274114","mla":"Rickman, Jamie, et al. “Steady State EB Cap Size Fluctuations Are Determined by Stochastic Microtubule Growth and Maturation.” PNAS, vol. 114, no. 13, National Academy of Sciences, 2017, pp. 3427–32, doi:10.1073/pnas.1620274114.","short":"J. Rickman, C.F. Düllberg, N. Cade, L. Griffin, T. Surrey, PNAS 114 (2017) 3427–3432.","chicago":"Rickman, Jamie, Christian F Düllberg, Nicholas Cade, Lewis Griffin, and Thomas Surrey. “Steady State EB Cap Size Fluctuations Are Determined by Stochastic Microtubule Growth and Maturation.” PNAS. National Academy of Sciences, 2017. https://doi.org/10.1073/pnas.1620274114."},"publication":"PNAS","page":"3427 - 3432","day":"28","scopus_import":1},{"quality_controlled":"1","project":[{"name":"Astrophysical instability of currents and turbulences","grant_number":"SFB 963 TP A8","_id":"2511D90C-B435-11E9-9278-68D0E5697425"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1703.01714"}],"oa":1,"language":[{"iso":"eng"}],"doi":"10.1063/1.4981525","month":"04","publication_identifier":{"issn":["10706631"]},"publication_status":"published","publisher":"American Institute of Physics","department":[{"_id":"BjHo"}],"year":"2017","date_updated":"2021-01-12T08:08:15Z","date_created":"2018-12-11T11:47:47Z","volume":29,"author":[{"full_name":"Shi, Liang","first_name":"Liang","last_name":"Shi"},{"full_name":"Hof, Björn","last_name":"Hof","first_name":"Björn","orcid":"0000-0003-2057-2754","id":"3A374330-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Markus","last_name":"Rampp","full_name":"Rampp, Markus"},{"first_name":"Marc","last_name":"Avila","full_name":"Avila, Marc"}],"article_number":"044107","publist_id":"7072","publication":"Physics of Fluids","citation":{"ama":"Shi L, Hof B, Rampp M, Avila M. Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. 2017;29(4). doi:10.1063/1.4981525","ista":"Shi L, Hof B, Rampp M, Avila M. 2017. Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. 29(4), 044107.","apa":"Shi, L., Hof, B., Rampp, M., & Avila, M. (2017). Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. American Institute of Physics. https://doi.org/10.1063/1.4981525","ieee":"L. Shi, B. Hof, M. Rampp, and M. Avila, “Hydrodynamic turbulence in quasi Keplerian rotating flows,” Physics of Fluids, vol. 29, no. 4. American Institute of Physics, 2017.","mla":"Shi, Liang, et al. “Hydrodynamic Turbulence in Quasi Keplerian Rotating Flows.” Physics of Fluids, vol. 29, no. 4, 044107, American Institute of Physics, 2017, doi:10.1063/1.4981525.","short":"L. Shi, B. Hof, M. Rampp, M. Avila, Physics of Fluids 29 (2017).","chicago":"Shi, Liang, Björn Hof, Markus Rampp, and Marc Avila. “Hydrodynamic Turbulence in Quasi Keplerian Rotating Flows.” Physics of Fluids. American Institute of Physics, 2017. https://doi.org/10.1063/1.4981525."},"date_published":"2017-04-01T00:00:00Z","scopus_import":1,"day":"01","status":"public","title":"Hydrodynamic turbulence in quasi Keplerian rotating flows","intvolume":" 29","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","_id":"662","oa_version":"Submitted Version","type":"journal_article","abstract":[{"lang":"eng","text":"We report a direct-numerical-simulation study of the Taylor-Couette flow in the quasi-Keplerian regime at shear Reynolds numbers up to (105). Quasi-Keplerian rotating flow has been investigated for decades as a simplified model system to study the origin of turbulence in accretion disks that is not fully understood. The flow in this study is axially periodic and thus the experimental end-wall effects on the stability of the flow are avoided. Using optimal linear perturbations as initial conditions, our simulations find no sustained turbulence: the strong initial perturbations distort the velocity profile and trigger turbulence that eventually decays."}],"issue":"4"}]