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Most texts that deal with Martin tom Dieck’s black-and-white comic "hundert Ansichten der Speicherstadt" (Zürich: Arrache Cœur, 1997, French title: Vortex) claim that it depicts the eponymous warehouse district (Speicherstadt) in Hamburg. As this paper shows, this claim is inaccurate: although the architecture in tom Dieck’s drawings clearly refers to buildings in the warehouse district, the differences in the details are so obvious, that to speak of a straightforward depiction of the Speicherstadt is oversimplifying. After a brief comparison with Christoph Schäfer’s picture book "Die Stadt ist unsere Fabrik" (Leipzig: Spector Books, 2010), the paper concludes with a discussion of the depiction of urban environments in general and in tom Dieck's book in particular.
Vortrag im Rahmen des Symposiums der Universitätsbibliothek Frankfurt am Main in Kooperation mit der Frankfurter Buchmesse 2011 "Economy and Acceptance of Open Access Strategies", am 14.10.2011.
Vortrag im Rahmen des Symposiums der Universitätsbibliothek Frankfurt am Main in Kooperation mit der Frankfurter Buchmesse 2011 "Economy and Acceptance of Open Access Strategies", am 14.10.2011.
Vortrag im Rahmen des Symposiums der Universitätsbibliothek Frankfurt am Main in Kooperation mit der Frankfurter Buchmesse 2011 "Economy and Acceptance of Open Access Strategies", am 14.10.2011.
"Finnegans Wake" has struck many of its exegetes as the epitome of the postmodern text. The oddity of James Joyce's last work has been and still is a provocation not only for literary criticism and theory but for every reader of the work. It provokes us to reflect on our preconceptions concerning such fundamental issues as reading, meaning and understanding. Due to this very quality, the work has been a fertile intellectual stimulus for an illustrious band of thinkers of the ―post-projects. Its singularity has provoked and facilitated the further development of theoretical frameworks beyond the confines of literary theory proper. This essay will trace the elaborate theoretical responses of Umberto Eco and Jacques Lacan to Joyce's grand literary arcanum. Eco's concept of the openness of modern works of art and Lacan's elaboration of his psychoanalytic concepts of the symptom and of the Borromean knot were inspired by their study of Joyce. As an extreme instance of literariness, Finnegans Wake thus constitutes an ideal opportunity to consider the scope and boundaries of the scholarly study of literary texts more generally.
Friedrich August Wolf posits in his "Prolegomena ad Homerum" that, from the time of the first transcription of Homer's epics around 700 BC to the time of the Alexandrian editions, the Iliad and Odyssey underwent repeated revisions by a multitude of poets and critics. According to Wolf, the "unified" works that we know are the products of emendations by Alexandrian critics who attempted to homogenize the style of the epics and to return them to their "original" form. This paper argues that Wolf's narration of the history of these texts relies on and produces aesthetic claims, not historical ones. Wolf determines the dates and origins of passages based on intuitive judgments of style for which he cannot provide linguistic or historical evidence. And his conclusions that the "Iliad" and "Odyssey" were not written by Homer, but rather by a history of emendations and revisions, enthrones his work — the work of philologists — in place of the literary genius Homer. Thus philology becomes for Wolf an aesthetic discipline that produces canonical and beautiful works of literature. This aesthetic task is essential for philology to fulfill its educational and political responsibilities.
This paper seeks to demonstrate the ways in which Bachmann's work constitutes a prime case for examining the scope and the boundaries of philological research. It does so by focusing on Bachmann‘s fragmentary and unfinished novel, "Das Buch Franza" [1965-1966], exploring the text and its author in an interdisciplinary light. Forming part of Bachmann's uncompleted "Todesarten"-Projekt, "Das Buch Franza" deals with the continuing legacy of fascism and its displaced forms in the post-war era. In its thematisation of the traumatic and necessarily belated after-effects of the Second World War and the Holocaust, Bachmann‘s text draws on various disciplines and discourses, namely geology, archaeology and psychoanalysis. I consider the ways in which the interdisciplinary ambitions of the text reflect Bachmann‘s struggle for a new form of representation, one that adequately mirrors the concerns of her society. Finally, drawing on Bachmann‘s own theoretical reflections on the field of literary study in her Frankfurt Lectures on poetics, I trace the ways in which the author's work repeatedly encourages us to adopt multiple disciplinary perspectives, as well as privileging literature with a utopian function that exceeds any generic or disciplinary boundaries.
TRENTOOL : an open source toolbox to estimate neural directed interactions with transfer entropy
(2011)
To investigate directed interactions in neural networks we often use Norbert Wiener's famous definition of observational causality. Wiener’s definition states that an improvement of the prediction of the future of a time series X from its own past by the incorporation of information from the past of a second time series Y is seen as an indication of a causal interaction from Y to X. Early implementations of Wiener's principle – such as Granger causality – modelled interacting systems by linear autoregressive processes and the interactions themselves were also assumed to be linear. However, in complex systems – such as the brain – nonlinear behaviour of its parts and nonlinear interactions between them have to be expected. In fact nonlinear power-to-power or phase-to-power interactions between frequencies are reported frequently. To cover all types of non-linear interactions in the brain, and thereby to fully chart the neural networks of interest, it is useful to implement Wiener's principle in a way that is free of a model of the interaction [1]. Indeed, it is possible to reformulate Wiener's principle based on information theoretic quantities to obtain the desired model-freeness. The resulting measure was originally formulated by Schreiber [2] and termed transfer entropy (TE). Shortly after its publication transfer entropy found applications to neurophysiological data. With the introduction of new, data efficient estimators (e.g. [3]) TE has experienced a rapid surge of interest (e.g. [4]). Applications of TE in neuroscience range from recordings in cultured neuronal populations to functional magnetic resonanace imaging (fMRI) signals. Despite widespread interest in TE, no publicly available toolbox exists that guides the user through the difficulties of this powerful technique. TRENTOOL (the TRansfer ENtropy TOOLbox) fills this gap for the neurosciences by bundling data efficient estimation algorithms with the necessary parameter estimation routines and nonparametric statistical testing procedures for comparison to surrogate data or between experimental conditions. TRENTOOL is an open source MATLAB toolbox based on the Fieldtrip data format. ...
Over the past two decades the “one drug – one target – one disease” concept became the prevalent paradigm in drug discovery. The main idea of this approach is the identification of a single protein target whose inhibition leads to a successful treatment of the examined disease. The predominant assumption is that highly selective ligands would avoid unwanted side effects caused by binding to secondary non-therapeutic targets. In recent years the results of post-genomic and network biology showed that proteins rarely act in isolated systems but rather as a part of a highly connected network [1]. In addition this connectivity leads to more robust systems that cannot be interfered by the inhibition of a single target of that network and consequently might not lead to the desired therapeutic effect [2]. Furthermore studies prove that robust systems are rather affected by weak inhibitions of several parts than by a complete inhibition of a single selected element of that system [3]. Therefore there is an increasing interest in developing drugs that take effect on multiple targets simultaneously but is concurrently a great challenge for medicinal chemists. There has to be a sufficient activity on each target as well as an adequate pharmacokinetic profile [4]. Early design strategies tried to link the pharmacophors of known inhibitors, however these methods often lead to high molecular weight and low ligand efficacy. We present a new rational approach based on a retrosynthetic combinatorial analysis procedure [5] on approved ligands of multiple targets. These RECAP fragments are used to design a large combinatorial library containing molecules featuring chemical properties of each ligand class. The molecules are further validated by machine learning models, like random forests and self-organizing maps, regarding their activity on the targets of interest.