@article{5914,
  abstract     = {With the advent of optogenetics, it became possible to change the activity of a targeted population of neurons in a temporally controlled manner. To combine the advantages of 60-channel in vivo tetrode recording and laser-based optogenetics, we have developed a closed-loop recording system that allows for the actual electrophysiological signal to be used as a trigger for the laser light mediating the optogenetic intervention. We have optimized the weight, size, and shape of the corresponding implant to make it compatible with the size, force, and movements of a behaving mouse, and we have shown that the system can efficiently block sharp wave ripple (SWR) events using those events themselves as a trigger. To demonstrate the full potential of the optogenetic recording system we present a pilot study addressing the contribution of SWR events to learning in a complex behavioral task.},
  author       = {Rangel Guerrero, Dámaris K and Donnett, James G. and Csicsvari, Jozsef L and Kovács, Krisztián},
  journal      = {eNeuro},
  number       = {4},
  publisher    = {Society for Neuroscience},
  title        = {{Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning}},
  doi          = {10.1523/ENEURO.0087-18.2018},
  volume       = {5},
  year         = {2018},
}

@inproceedings{66,
  abstract     = {Crypto-currencies are digital assets designed to work as a medium of exchange, e.g., Bitcoin, but they are susceptible to attacks (dishonest behavior of participants). A framework for the analysis of attacks in crypto-currencies requires (a) modeling of game-theoretic aspects to analyze incentives for deviation from honest behavior; (b) concurrent interactions between participants; and (c) analysis of long-term monetary gains. Traditional game-theoretic approaches for the analysis of security protocols consider either qualitative temporal properties such as safety and termination, or the very special class of one-shot (stateless) games. However, to analyze general attacks on protocols for crypto-currencies, both stateful analysis and quantitative objectives are necessary. In this work our main contributions are as follows: (a) we show how a class of concurrent mean-payo games, namely ergodic games, can model various attacks that arise naturally in crypto-currencies; (b) we present the first practical implementation of algorithms for ergodic games that scales to model realistic problems for crypto-currencies; and (c) we present experimental results showing that our framework can handle games with thousands of states and millions of transitions.},
  author       = {Chatterjee, Krishnendu and Goharshady, Amir and Ibsen-Jensen, Rasmus and Velner, Yaron},
  isbn         = {978-3-95977-087-3},
  location     = {Beijing, China},
  publisher    = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  title        = {{Ergodic mean-payoff games for the analysis of attacks in crypto-currencies}},
  doi          = {10.4230/LIPIcs.CONCUR.2018.11},
  volume       = {118},
  year         = {2018},
}

@inproceedings{6340,
  abstract     = {We  present  a  secure  approach  for  maintaining  andreporting  credit  history  records  on  the  Blockchain.  Our  ap-proach  removes  third-parties  such  as  credit  reporting  agen-cies  from  the  lending  process  and  replaces  them  with  smartcontracts.  This  allows  customers  to  interact  directly  with  thelenders  or  banks  while  ensuring  the  integrity,  unmalleabilityand  privacy  of  their  credit  data.  Additionally,  each  customerhas  full  control  over  complete  or  selective  disclosure  of  hercredit records, eliminating the risk of privacy violations or databreaches. Moreover, our approach provides strong guaranteesfor the lenders as well. A lender can check both correctness andcompleteness of the credit data disclosed to her. This is the firstapproach  that  can  perform  all  credit  reporting  tasks  withouta  central  authority  or  changing  the  financial  mechanisms*.},
  author       = {Goharshady, Amir Kafshdar and Behrouz, Ali and Chatterjee, Krishnendu},
  booktitle    = {Proceedings of the IEEE International Conference on Blockchain},
  isbn         = {978-1-5386-7975-3 },
  location     = {Halifax, Canada},
  pages        = {1343--1348},
  publisher    = {IEEE},
  title        = {{Secure Credit Reporting on the Blockchain}},
  doi          = {10.1109/Cybermatics_2018.2018.00231},
  year         = {2018},
}

@inproceedings{311,
  abstract     = {Smart contracts are computer programs that are executed by a network of mutually distrusting agents, without the need of an external trusted authority. Smart contracts handle and transfer assets of considerable value (in the form of crypto-currency like Bitcoin). Hence, it is crucial that their implementation is bug-free. We identify the utility (or expected payoff) of interacting with such smart contracts as the basic and canonical quantitative property for such contracts. We present a framework for such quantitative analysis of smart contracts. Such a formal framework poses new and novel research challenges in programming languages, as it requires modeling of game-theoretic aspects to analyze incentives for deviation from honest behavior and modeling utilities which are not specified as standard temporal properties such as safety and termination. While game-theoretic incentives have been analyzed in the security community, their analysis has been restricted to the very special case of stateless games. However, to analyze smart contracts, stateful analysis is required as it must account for the different program states of the protocol. Our main contributions are as follows: we present (i)~a simplified programming language for smart contracts; (ii)~an automatic translation of the programs to state-based games; (iii)~an abstraction-refinement approach to solve such games; and (iv)~experimental results on real-world-inspired smart contracts.},
  author       = {Chatterjee, Krishnendu and Goharshady, Amir and Velner, Yaron},
  location     = {Thessaloniki, Greece},
  pages        = {739 -- 767},
  publisher    = {Springer},
  title        = {{Quantitative analysis of smart contracts}},
  doi          = {10.1007/978-3-319-89884-1_26},
  volume       = {10801},
  year         = {2018},
}

@article{6009,
  abstract     = {We study algorithmic questions wrt algebraic path properties in concurrent systems, where the transitions of the system are labeled from a complete, closed semiring. The algebraic path properties can model dataflow analysis problems, the shortest path problem, and many other natural problems that arise in program analysis. We consider that each component of the concurrent system is a graph with constant treewidth, a property satisfied by the controlflow graphs of most programs. We allow for multiple possible queries, which arise naturally in demand driven dataflow analysis. The study of multiple queries allows us to consider the tradeoff between the resource usage of the one-time preprocessing and for each individual query. The traditional approach constructs the product graph of all components and applies the best-known graph algorithm on the product. In this approach, even the answer to a single query requires the transitive closure (i.e., the results of all possible queries), which provides no room for tradeoff between preprocessing and query time.
Our main contributions are algorithms that significantly improve the worst-case running time of the traditional approach, and provide various tradeoffs depending on the number of queries. For example, in a concurrent system of two components, the traditional approach requires hexic time in the worst case for answering one query as well as computing the transitive closure, whereas we show that with one-time preprocessing in almost cubic time, each subsequent query can be answered in at most linear time, and even the transitive closure can be computed in almost quartic time. Furthermore, we establish conditional optimality results showing that the worst-case running time of our algorithms cannot be improved without achieving major breakthroughs in graph algorithms (i.e., improving the worst-case bound for the shortest path problem in general graphs). Preliminary experimental results show that our algorithms perform favorably on several benchmarks.
},
  author       = {Chatterjee, Krishnendu and Ibsen-Jensen, Rasmus and Goharshady, Amir Kafshdar and Pavlogiannis, Andreas},
  issn         = {0164-0925},
  journal      = {ACM Transactions on Programming Languages and Systems},
  number       = {3},
  publisher    = {Association for Computing Machinery},
  title        = {{Algorithms for algebraic path properties in concurrent systems of constant treewidth components}},
  doi          = {10.1145/3210257},
  volume       = {40},
  year         = {2018},
}

@inproceedings{5977,
  abstract     = {We consider the stochastic shortest path (SSP)problem for succinct Markov decision processes(MDPs), where the MDP consists of a set of vari-ables, and a set of nondeterministic rules that up-date the variables. First, we show that several ex-amples from the AI literature can be modeled assuccinct MDPs.  Then we present computationalapproaches for upper and lower bounds for theSSP problem: (a) for computing upper bounds, ourmethod is polynomial-time in the implicit descrip-tion of the MDP; (b) for lower bounds, we present apolynomial-time (in the size of the implicit descrip-tion) reduction to quadratic programming. Our ap-proach is applicable even to infinite-state MDPs.Finally, we present experimental results to demon-strate the effectiveness of our approach on severalclassical examples from the AI literature.},
  author       = {Chatterjee, Krishnendu and Fu, Hongfei and Goharshady, Amir and Okati, Nastaran},
  booktitle    = {Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence},
  isbn         = {9780999241127},
  issn         = {1045-0823},
  location     = {Stockholm, Sweden},
  pages        = {4700--4707},
  publisher    = {IJCAI},
  title        = {{Computational approaches for stochastic shortest path on succinct MDPs}},
  doi          = {10.24963/ijcai.2018/653},
  volume       = {2018},
  year         = {2018},
}

@article{402,
  abstract     = {During metastasis, malignant cells escape the primary tumor, intravasate lymphatic vessels, and reach draining sentinel lymph nodes before they colonize distant organs via the blood circulation. Although lymph node metastasis in cancer patients correlates with poor prognosis, evidence is lacking as to whether and how tumor cells enter the bloodstream via lymph nodes. To investigate this question, we delivered carcinoma cells into the lymph nodes of mice by microinfusing the cells into afferent lymphatic vessels. We found that tumor cells rapidly infiltrated the lymph node parenchyma, invaded blood vessels, and seeded lung metastases without involvement of the thoracic duct. These results suggest that the lymph node blood vessels can serve as an exit route for systemic dissemination of cancer cells in experimental mouse models. Whether this form of tumor cell spreading occurs in cancer patients remains to be determined.},
  author       = {Brown, Markus and Assen, Frank P and Leithner, Alexander F and Abe, Jun and Schachner, Helga and Asfour, Gabriele and Bagó Horváth, Zsuzsanna and Stein, Jens and Uhrin, Pavel and Sixt, Michael K and Kerjaschki, Dontscho},
  journal      = {Science},
  number       = {6382},
  pages        = {1408 -- 1411},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Lymph node blood vessels provide exit routes for metastatic tumor cell dissemination in mice}},
  doi          = {10.1126/science.aal3662},
  volume       = {359},
  year         = {2018},
}

@article{612,
  abstract     = {Metabotropic GABAB receptors mediate slow inhibitory effects presynaptically and postsynaptically through the modulation of different effector signalling pathways. Here, we analysed the distribution of GABAB receptors using highly sensitive SDS-digested freeze-fracture replica labelling in mouse cerebellar Purkinje cells. Immunoreactivity for GABAB1 was observed on presynaptic and, more abundantly, on postsynaptic compartments, showing both scattered and clustered distribution patterns. Quantitative analysis of immunoparticles revealed a somato-dendritic gradient, with the density of immunoparticles increasing 26-fold from somata to dendritic spines. To understand the spatial relationship of GABAB receptors with two key effector ion channels, the G protein-gated inwardly rectifying K+ (GIRK/Kir3) channel and the voltage-dependent Ca2+ channel, biochemical and immunohistochemical approaches were performed. Co-immunoprecipitation analysis demonstrated that GABAB receptors co-assembled with GIRK and CaV2.1 channels in the cerebellum. Using double-labelling immunoelectron microscopic techniques, co-clustering between GABAB1 and GIRK2 was detected in dendritic spines, whereas they were mainly segregated in the dendritic shafts. In contrast, co-clustering of GABAB1 and CaV2.1 was detected in dendritic shafts but not spines. Presynaptically, although no significant co-clustering of GABAB1 and GIRK2 or CaV2.1 channels was detected, inter-cluster distance for GABAB1 and GIRK2 was significantly smaller in the active zone than in the dendritic shafts, and that for GABAB1 and CaV2.1 was significantly smaller in the active zone than in the dendritic shafts and spines. Thus, GABAB receptors are associated with GIRK and CaV2.1 channels in different subcellular compartments. These data provide a better framework for understanding the different roles played by GABAB receptors and their effector ion channels in the cerebellar network.},
  author       = {Luján, Rafael and Aguado, Carolina and Ciruela, Francisco and Cózar, Javier and Kleindienst, David and De La Ossa, Luis and Bettler, Bernhard and Wickman, Kevin and Watanabe, Masahiko and Shigemoto, Ryuichi and Fukazawa, Yugo},
  journal      = {Brain Structure and Function},
  number       = {3},
  pages        = {1565 -- 1587},
  publisher    = {Springer},
  title        = {{Differential association of GABAB receptors with their effector ion channels in Purkinje cells}},
  doi          = {10.1007/s00429-017-1568-y},
  volume       = {223},
  year         = {2018},
}

@phdthesis{6263,
  abstract     = {Antibiotic  resistance  can  emerge  spontaneously  through  genomic  mutation  and  render treatment   ineffective.   To   counteract   this process, in   addition   to   the   discovery   and description of resistance mechanisms,a deeper understanding of resistanceevolvabilityand its  determinantsis  needed. To address  this challenge,  this  thesisuncoversnew  genetic determinants   of   resistance   evolvability   using   a   customized   robotic   setup, exploressystematic   ways   in   which   resistance   evolution   is   perturbed   due   to dose-responsecharacteristics  of  drugs and  mutation  rate  differences,and  mathematically  investigates the evolutionary fate of one specific type of evolvability modifier -a stress-induced mutagenesis allele.We  find  severalgenes  which  strongly  inhibit  or  potentiate  resistance  evolution.  In  order to identify   them,   we   first developedan   automated   high-throughput   feedback-controlled protocol whichkeeps the population size and selection pressure approximately constant for hundreds  of  cultures  by  dynamically  re-diluting  the  cultures  and  adjusting  the  antibiotic concentration.  We  implementedthis  protocol  on  a  customized  liquid  handling  robot  and propagated  100  different  gene  deletion  strains  of Escherichia  coliin  triplicate  for  over  100 generations  in  tetracycline  and  in  chloramphenicol,  and  comparedtheir  adaptation  rates.We  find  a  diminishing  returns  pattern,  where  initially  sensitive  strains  adapted  more compared to less sensitive ones.  Our data uncover that deletions of certain genes which do not  affect  mutation  rate,including  efflux  pump  components,  a  chaperone  and severalstructural  and regulatory  genes  can strongly  and  reproducibly  alterresistance  evolution. Sequencing   analysis of   evolved   populations   indicates   that   epistasis   with   resistance mutations  is  the  most  likelyexplanation. This  work  could  inspire  treatment  strategies  in which  targeted  inhibitors  of  evolvability  mechanisms  will  be  given  alongside  antibiotics  to slow down resistance evolution and extend theefficacy of antibiotics.We implemented  astochasticpopulation  genetics  model, toverifyways  in  which  general properties,  namely,  dose-response  characteristics  of  drugs  and  mutation  rates,  influence evolutionary  dynamics.  In  particular,  under  the  exposure  to  antibiotics  with  shallow  dose-response  curves,bacteria  have  narrower  distributions  of  fitness  effects  of  new  mutations. We  show  that in  silicothis  also  leads  to  slower  resistance  evolution.  We see and  confirm with experiments that increased mutation rates, apart from speeding up evolution, also leadto high reproducibility of phenotypic adaptation in a context of continually strong selection pressure.Knowledge  of  these  patterns  can  aid  in  predicting  the  dynamics  of  antibiotic resistance evolutionand adapting treatment schemes accordingly.Focusing on   a   previously   described   type   of   evolvability   modifier –a   stress-induced mutagenesis  allele –we  find  conditions  under  which  it  can  persist  in  a  population  under periodic  selectionakin  to  clinical  treatment. We  set  up  a  deterministic infinite  populationcontinuous  time  model  tracking  the  frequencies  of  a  mutator  and  resistance  allele  and evaluate  various  treatment  schemes  in  how  well  they  maintain  a stress-induced mutator allele. In particular,a high diversity  of stresses  is  crucial  for  the  persistence of the  mutator allele. This leads to a general trade-off where exactly those diversifying treatment schemes which  are  likely  to  decrease  levels  of  resistance  could  lead  to  stronger  selection  of  highly evolvable genotypes.In  the  long  run,  this  work  will  lead  to  a  deeper  understanding  of  the  genetic  and  cellular mechanisms involved in antibiotic resistance evolution and could inspire new strategies for slowing down its rate. },
  author       = {Lukacisinova, Marta},
  issn         = {2663-337X},
  pages        = {91},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Genetic determinants of antibiotic resistance evolution}},
  doi          = {10.15479/AT:ISTA:th1072},
  year         = {2018},
}

@phdthesis{51,
  abstract     = {Asymmetries have long been known about in the central nervous system. From gross anatomical differences, such as the presence of the parapineal organ in only one hemisphere of the developing zebrafish, to more subtle differences in activity between both hemispheres, as seen in freely roaming animals or human participants under PET and fMRI imaging analysis. The presence of asymmetries has been demonstrated to have huge behavioural implications, with their disruption often leading to the generation of neurological disorders, memory problems, changes in personality, and in an organism's health and well-being. For my Ph.D. work I aimed to tackle two important avenues of research. The first being the process of input-side dependency in the hippocampus, with the goal of finding a key gene responsible for its development (Gene X). The second project was to do with experience-induced laterality formation in the hippocampus. Specifically, how laterality in the synapse density of the CA1 stratum radiatum (s.r.) could be induced purely through environmental enrichment. Through unilateral tracer injections into the CA3, I was able to selectively measure the properties of synapses within the CA1 and investigate how they differed based upon which hemisphere the presynaptic neurone originated. Having found the existence of a previously unreported reversed (left-isomerism) i.v. mutant, through morpholocal examination of labelled terminals in the CA1 s.r., I aimed to elucidate a key gene responsible for the process of left or right determination of inputs to the CA1 s.r.. This work relates to the previous finding of input-side dependent asymmetry in the wild-type rodent, where the origin of the projecting neurone to the CA1 will determine the morphology of a synapse, to a greater degree than the hemisphere in which the projection terminates. Using left- and right-isomerism i.v. mice, in combination with whole genome sequence analysis, I highlight Ena/VASP-like (Evl) as a potential target for Gene X. In relation to this topic, I also highlight my work in the recently published paper of how knockout of PirB can lead to a lack of input-side dependency in the murine hippocampus. For the second question, I show that the environmental enrichment paradigm will lead to an asymmetry in the synapse densities in the hippocampus of mice. I also highlight that the nature of the enrichment is of less consequence than the process of enrichment itself. I demonstrate that the CA3 region will dramatically alter its projection targets, in relation to environmental stimulation, with the asymmetry in synaptic density, caused by enrichment, relying heavily on commissural fibres. I also highlight the vital importance of input-side dependent asymmetry, as a necessary component of experience-dependent laterality formation in the CA1 s.r.. However, my results suggest that it isn't the only cause, as there appears to be a CA1 dependent mechanism also at play. Upon further investigation, I highlight the significant, and highly important, finding that the changes seen in the CA1 s.r. were predominantly caused through projections from the left-CA3, with the right-CA3 having less involvement in this mechanism.},
  author       = {Case, Matthew J},
  issn         = {2663-337X},
  pages        = {186},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{From the left to the right: A tale of asymmetries, environments, and hippocampal development}},
  doi          = {10.15479/AT:ISTA:th_1032},
  year         = {2018},
}

@phdthesis{10,
  abstract     = {Genomic imprinting is an epigenetic process that leads to parent of origin-specific gene expression in a subset of genes. Imprinted genes are essential for brain development, and deregulation of imprinting is associated with neurodevelopmental diseases and the pathogenesis of psychiatric disorders. However, the cell-type specificity of imprinting at single cell resolution, and how imprinting and thus gene dosage regulates neuronal circuit assembly is still largely unknown. Here, MADM (Mosaic Analysis with Double Markers) technology was employed to assess genomic imprinting at single cell level. By visualizing MADM-induced uniparental disomies (UPDs) in distinct colors at single cell level in genetic mosaic animals, this experimental paradigm provides a unique quantitative platform to systematically assay the UPD-mediated imbalances in imprinted gene expression at unprecedented resolution. An experimental pipeline based on FACS, RNA-seq and bioinformatics analysis was established and applied to systematically map cell-type-specific ‘imprintomes’ in the mouse brain. The results revealed that parental-specific expression of imprinted genes per se is rarely cell-type-specific even at the individual cell level. Conversely, when we extended the comparison to downstream responses resulting from imbalanced imprinted gene expression, we discovered an unexpectedly high degree of cell-type specificity. Furthermore, we determined a novel function of genomic imprinting in cortical astrocyte production and in olfactory bulb (OB) granule cell generation. These results suggest important functional implication of genomic imprinting for generating cell-type diversity in the brain. In addition, MADM provides a powerful tool to study candidate genes by concomitant genetic manipulation and fluorescent labelling of single cells. MADM-based candidate gene approach was utilized to identify potential imprinted genes involved in the generation of cortical astrocytes and OB granule cells. We investigated p57Kip2, a maternally expressed gene and known cell cycle regulator. Although we found that p57Kip2 does not play a role in these processes, we detected an unexpected function of the paternal allele previously thought to be silent. Finally, we took advantage of a key property of MADM which is to allow unambiguous investigation of environmental impact on single cells. The experimental pipeline based on FACS and RNA-seq analysis of MADM-labeled cells was established to probe the functional differences of single cell loss of gene function compared to global loss of function on a transcriptional level. With this method, both common and distinct responses were isolated due to cell-autonomous and non-autonomous effects acting on genotypically identical cells. As a result, transcriptional changes were identified which result solely from the surrounding environment. Using the MADM technology to study genomic imprinting at single cell resolution, we have identified cell-type-specific gene expression, novel gene function and the impact of environment on single cell transcriptomes. Together, these provide important insights to the understanding of mechanisms regulating cell-type specificity and thus diversity in the brain.},
  author       = {Laukoter, Susanne},
  issn         = {2663-337X},
  pages        = {1 -- 139},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Role of genomic imprinting in cerebral cortex development}},
  doi          = {10.15479/AT:ISTA:th1057},
  year         = {2018},
}

@phdthesis{539,
  abstract     = {The whole life cycle of plants as well as their responses to environmental stimuli is governed by a complex network of hormonal regulations. A number of studies have demonstrated an essential role of both auxin and cytokinin in the regulation of many aspects of plant growth and development including embryogenesis, postembryonic organogenic processes such as root, and shoot branching, root and shoot apical meristem activity and phyllotaxis. Over the last decades essential knowledge on the key molecular factors and pathways that spatio-temporally define auxin and cytokinin activities in the plant body has accumulated. However, how both hormonal pathways are interconnected by a complex network of interactions and feedback circuits that determines the final outcome of the individual hormone actions is still largely unknown. Root system architecture establishment and in particular formation of lateral organs is prime example of developmental process at whose regulation both auxin and cytokinin pathways converge. To dissect convergence points and pathways that tightly balance auxin - cytokinin antagonistic activities that determine the root branching pattern transcriptome profiling was applied. Genome wide expression analyses of the xylem pole pericycle, a tissue giving rise to lateral roots, led to identification of genes that are highly responsive to combinatorial auxin and cytokinin treatments and play an essential function in the auxin-cytokinin regulated root branching. SYNERGISTIC AUXIN CYTOKININ 1 (SYAC1) gene, which encodes for a protein of unknown function, was detected among the top candidate genes of which expression was synergistically up-regulated by simultaneous hormonal treatment. Plants with modulated SYAC1 activity exhibit severe defects in the root system establishment and attenuate developmental responses to both auxin and cytokinin. To explore the biological function of the SYAC1, we employed different strategies including expression pattern analysis, subcellular localization and phenotypic analyses of the syac1 loss-of-function and gain-of-function transgenic lines along with the identification of the SYAC1 interaction partners. Detailed functional characterization revealed that SYAC1 acts as a developmentally specific regulator of the secretory pathway to control deposition of cell wall components and thereby rapidly fine tune elongation growth.},
  author       = {Hurny, Andrej},
  issn         = {2663-337X},
  pages        = {147},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Identification and characterization of novel auxin-cytokinin cross-talk components}},
  doi          = {10.15479/AT:ISTA:th_930},
  year         = {2018},
}

@article{1084,
  abstract     = {BceRS and PsdRS are paralogous two-component systems in Bacillus subtilis controlling the response to antimicrobial peptides. In the presence of extracellular bacitracin and nisin, respectively, the two response regulators (RRs) bind their target promoters, PbceA or PpsdA, resulting in a strong up-regulation of target gene expression and ultimately antibiotic resistance. Despite high sequence similarity between the RRs BceR and PsdR and their known binding sites, no cross-regulation has been observed between them. We therefore investigated the specificity determinants of PbceA and PpsdA that ensure the insulation of these two paralogous pathways at the RR–promoter interface. In vivo and in vitro analyses demonstrate that the regulatory regions within these two promoters contain three important elements: in addition to the known (main) binding site, we identified a linker region and a secondary binding site that are crucial for functionality. Initial binding to the high-affinity, low-specificity main binding site is a prerequisite for the subsequent highly specific binding of a second RR dimer to the low-affinity secondary binding site. In addition to this hierarchical cooperative binding, discrimination requires a competition of the two RRs for their respective binding site mediated by only slight differences in binding affinities.},
  author       = {Fang, Chong and Nagy-Staron, Anna A and Grafe, Martin and Heermann, Ralf and Jung, Kirsten and Gebhard, Susanne and Mascher, Thorsten},
  issn         = { 0950-382X},
  journal      = {Molecular Microbiology},
  number       = {1},
  pages        = {16 -- 31},
  publisher    = {Wiley-Blackwell},
  title        = {{Insulation and wiring specificity of BceR like response regulators and their target promoters in Bacillus subtilis}},
  doi          = {10.1111/mmi.13597},
  volume       = {104},
  year         = {2017},
}

@article{1085,
  abstract     = {Sex chromosomes evolve once recombination is halted between a homologous pair of chromosomes. The dominant model of sex chromosome evolution posits that recombination is suppressed between emerging X and Y chromosomes in order to resolve sexual conflict. Here we test this model using whole genome and transcriptome resequencing data in the guppy, a model for sexual selection with many Y-linked colour traits. We show that although the nascent Y chromosome encompasses nearly half of the linkage group, there has been no perceptible degradation of Y chromosome gene content or activity. Using replicate wild populations with differing levels of sexually antagonistic selection for colour, we also show that sexual selection leads to greater expansion of the non-recombining region and increased Y chromosome divergence. These results provide empirical support for longstanding models of sex chromosome catalysis, and suggest an important role for sexual selection and sexual conflict in genome evolution.},
  author       = {Wright, Alison and Darolti, Iulia and Bloch, Natasha and Oostra, Vicencio and Sandkam, Benjamin and Buechel, Séverine and Kolm, Niclas and Breden, Felix and Vicoso, Beatriz and Mank, Judith},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  publisher    = {Nature Publishing Group},
  title        = {{Convergent recombination suppression suggests role of sexual selection in guppy sex chromosome formation}},
  doi          = {10.1038/ncomms14251},
  volume       = {8},
  year         = {2017},
}

@article{1087,
  abstract     = {Using extensive direct numerical simulations, the dynamics of laminar-turbulent fronts in pipe flow is investigated for Reynolds numbers between and 5500. We here investigate the physical distinction between the fronts of weak and strong slugs both by analysing the turbulent kinetic energy budget and by comparing the downstream front motion to the advection speed of bulk turbulent structures. Our study shows that weak downstream fronts travel slower than turbulent structures in the bulk and correspond to decaying turbulence at the front. At the downstream front speed becomes faster than the advection speed, marking the onset of strong fronts. In contrast to weak fronts, turbulent eddies are generated at strong fronts by feeding on the downstream laminar flow. Our study also suggests that temporal fluctuations of production and dissipation at the downstream laminar-turbulent front drive the dynamical switches between the two types of front observed up to.},
  author       = {Song, Baofang and Barkley, Dwight and Hof, Björn and Avila, Marc},
  issn         = {0022-1120},
  journal      = {Journal of Fluid Mechanics},
  pages        = {1045 -- 1059},
  publisher    = {Cambridge University Press},
  title        = {{Speed and structure of turbulent fronts in pipe flow}},
  doi          = {10.1017/jfm.2017.14},
  volume       = {813},
  year         = {2017},
}

@article{1089,
  abstract     = {We discuss properties of distributions that are multivariate totally positive of order two (MTP2) related to conditional independence. In particular, we show that any independence model generated by an MTP2 distribution is a compositional semigraphoid which is upward-stable and singleton-transitive. In addition, we prove that any MTP2 distribution satisfying an appropriate support condition is faithful to its concentration graph. Finally, we analyze factorization properties of MTP2 distributions and discuss ways of constructing MTP2 distributions; in particular we give conditions on the log-linear parameters of a discrete distribution which ensure MTP2 and characterize conditional Gaussian distributions which satisfy MTP2.},
  author       = {Fallat, Shaun and Lauritzen, Steffen and Sadeghi, Kayvan and Uhler, Caroline and Wermuth, Nanny and Zwiernik, Piotr},
  issn         = {0090-5364},
  journal      = {Annals of Statistics},
  number       = {3},
  pages        = {1152 -- 1184},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{Total positivity in Markov structures}},
  doi          = {10.1214/16-AOS1478},
  volume       = {45},
  year         = {2017},
}

@article{1104,
  abstract     = {In the early visual system, cells of the same type perform the same computation in different places of the visual field. How these cells code together a complex visual scene is unclear. A common assumption is that cells of a single-type extract a single-stimulus feature to form a feature map, but this has rarely been observed directly. Using large-scale recordings in the rat retina, we show that a homogeneous population of fast OFF ganglion cells simultaneously encodes two radically different features of a visual scene. Cells close to a moving object code quasilinearly for its position, while distant cells remain largely invariant to the object's position and, instead, respond nonlinearly to changes in the object's speed. We develop a quantitative model that accounts for this effect and identify a disinhibitory circuit that mediates it. Ganglion cells of a single type thus do not code for one, but two features simultaneously. This richer, flexible neural map might also be present in other sensory systems.},
  author       = {Deny, Stephane and Ferrari, Ulisse and Mace, Emilie and Yger, Pierre and Caplette, Romain and Picaud, Serge and Tkacik, Gasper and Marre, Olivier},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  number       = {1},
  publisher    = {Nature Publishing Group},
  title        = {{Multiplexed computations in retinal ganglion cells of a single type}},
  doi          = {10.1038/s41467-017-02159-y},
  volume       = {8},
  year         = {2017},
}

@inproceedings{1108,
  abstract     = {In this work we study the learnability of stochastic processes with respect to the conditional risk, i.e. the existence of a learning algorithm that improves its next-step performance with the amount of observed data. We introduce a notion of pairwise discrepancy between conditional distributions at different times steps and show how certain properties of these discrepancies can be used to construct a successful learning algorithm. Our main results are two theorems that establish criteria for learnability for many classes of stochastic processes, including all special cases studied previously in the literature.},
  author       = {Zimin, Alexander and Lampert, Christoph},
  location     = {Fort Lauderdale, FL, United States},
  pages        = {213 -- 222},
  publisher    = {ML Research Press},
  title        = {{Learning theory for conditional risk minimization}},
  volume       = {54},
  year         = {2017},
}

@article{1109,
  abstract     = {Rotation of molecules embedded in He nanodroplets is explored by a combination of fs laser-induced alignment experiments and angulon quasiparticle theory. We demonstrate that at low fluence of the fs alignment pulse, the molecule and its solvation shell can be set into coherent collective rotation lasting long enough to form revivals. With increasing fluence, however, the revivals disappear -- instead, rotational dynamics as rapid as for an isolated molecule is observed during the first few picoseconds. Classical calculations trace this phenomenon to transient decoupling of the molecule from its He shell. Our results open novel opportunities for studying non-equilibrium solute-solvent dynamics and quantum thermalization. },
  author       = {Shepperson, Benjamin and Søndergaard, Anders and Christiansen, Lars and Kaczmarczyk, Jan and Zillich, Robert and Lemeshko, Mikhail and Stapelfeldt, Henrik},
  journal      = {Physical Review Letters},
  number       = {20},
  publisher    = {American Physical Society},
  title        = {{Laser-induced rotation of iodine molecules in helium nanodroplets: Revivals and breaking-free}},
  doi          = {10.1103/PhysRevLett.118.203203},
  volume       = {118},
  year         = {2017},
}

@article{1110,
  abstract     = {The phytohormone auxin is a major determinant and regulatory component important for plant development. Auxin transport between cells is mediated by a complex system of transporters such as AUX1/LAX, PIN, and ABCB proteins, and their localization and activity is thought to be influenced by phosphatases and kinases. Flavonols have been shown to alter auxin transport activity and changes in flavonol accumulation in the Arabidopsis thaliana rol1-2 mutant cause defects in auxin transport and seedling development. A new mutation in ROOTS CURL IN NPA 1 (RCN1), encoding a regulatory subunit of the phosphatase PP2A, was found to suppress the growth defects of rol1-2 without changing the flavonol content. rol1-2 rcn1-3 double mutants show wild type-like auxin transport activity while levels of free auxin are not affected by rcn1-3. In the rol1-2 mutant, PIN2 shows a flavonol-induced basal-to-apical shift in polar localization which is reversed in the rol1-2 rcn1-3 to basal localization. In vivo analysis of PINOID action, a kinase known to influence PIN protein localization in a PP2A-antagonistic manner, revealed a negative impact of flavonols on PINOID activity. Together, these data suggest that flavonols affect auxin transport by modifying the antagonistic kinase/phosphatase equilibrium.},
  author       = {Kuhn, Benjamin and Nodzyński, Tomasz and Errafi, Sanae and Bucher, Rahel and Gupta, Shibu and Aryal, Bibek and Dobrev, Petre and Bigler, Laurent and Geisler, Markus and Zažímalová, Eva and Friml, Jirí and Ringli, Christoph},
  issn         = {2045-2322},
  journal      = {Scientific Reports},
  publisher    = {Nature Publishing Group},
  title        = {{Flavonol-induced changes in PIN2 polarity and auxin transport in the Arabidopsis thaliana rol1-2 mutant require phosphatase activity}},
  doi          = {10.1038/srep41906},
  volume       = {7},
  year         = {2017},
}

