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This study explores the nationalist imagination, artistic philosophy and the overtly political dimension of Remi Raji's poetry. It is an attempt to construct a sustained critical discourse on Raji's ongoing body of works. Raji is one of the major poetic voices on the Nigerian literary scene today. With the publication of his first collection, A Harvest of Laughters, in 1997 Raji has continued to strengthen his craft and vision through subsequent volumes: Webs of Remembrance (2000), Shuttlesongs: America - a Poetic Guided Tour (2003), Lovesong for My Wasteland (2005); and Gather My Blood Rivers of Song (2009). Evidently he has attained poetic maturity and, given the frequency of his output, is set to realise a fulfilled poetic career. His maturation thus far through these five volumes deserves a major critical assessment, and a possible prediction for the direction of his artistic vision.
In human neuroscientific research, there has been an increasing interest in how the brain computes the value of an anticipated outcome. However, evidence is still missing about which valuation related brain regions are modulated by the proximity to an expected goal and the previously invested effort to reach a goal. The aim of this dissertation is to investigate the effects of goal proximity and invested effort on valuation related regions in the human brain. We addressed this question in two fMRI studies by integrating a commonly used reward anticipation task in differential versions of a Multitrial Reward Schedule Paradigm. In both experiments, subjects had to perform consecutive reward anticipation tasks under two different reward contingencies: in the delayed condition, participants received a monetary reward only after successful completion of multiple consecutive trials. In the immediate condition, money was earned after every successful trial. In the first study, we could demonstrate that the rostral cingulate zone of the posterior medial frontal cortex signals action value contingent to goal proximity, thereby replicating neurophysiological findings about goal proximity signals in a homologous region in non-human primates. The findings of the second study imply that brain regions associated with general cognitive control processes are modulated by previous effort investment. Furthermore, we found the posterior lateral prefrontal cortex and the orbitofrontal cortex to be involved in coding for the effort-based context of a situation. In sum, these results extend the role of the human rostral cingulate zone in outcome evaluation to the continuous updating of action values over a course of action steps based on the proximity to the expected reward. Furthermore, we tentatively suggest that previous effort investment invokes processes under the control of the executive system, and that posterior lateral prefrontal cortex and the orbitofrontal cortex are involved in an effort-based context representation that can be used for outcome evaluation that is dependent on the characteristics of the current situation.
In 1947, 20 species of Staphylinidae were reported from the Cayman Islands as a result of an Oxford University expedition there in 1938 which made extensive use of a light trap. The list is here expanded to 62 species based on collections by R. R. Askew, G. E. Ball, E. A. Dilbert, B. K. Dozier, E. J. Gerberg, P. J. Fitzgerald, M. C. Thomas, and R. H. Turnbow since 1970, all of whom also used light traps except for a collection or two by flight intercept trap.
Working memory (WM) contributes to countless activities during everyday live: reading, holding a conversation, making tea and so on. The core processes of WM comprise the phases of encoding, maintenance and retrieval. Successful recognition of stored objects requires several subprocesses such as stimulus encoding and evaluation, memory search and the organisation of a decision and a response. Much research has focused on encoding and maintenance of information but little interest has been directed to the retrieval of information. This is why the present dissertation investigated the neuronal correlates of retrieval of previously stored information and its modulation by load and probe-item similarity.
Here memory load and probe-item similarity were manipulated in order to investigate the neuronal correlates of the recognition process using electroencephalography (EEG). We tested the hypothesis recognition is influenced differently by probe-item similarity and by memory load and that these factors are re Effected by distinct neuronal correlates. Furthermore we tested whether distinct neuronal responses could be related to a summed similarity model.
The analysis of high-density ERP recordings showed both a load effect (load 1>load 3) and a similarity effect In addition, there was an interaction between load and similarity. The load effect was present during the whole epoch and did not change over time, whereas the similarity effect showed two distinct components between 300-600ms. In contrast to the load effect the similarity effect changed its sign over time. For the rest component, match probes elicited the strongest ERP responses, whereas for the second component dissimilar probes yielded the strongest ERP responses. The timing of the similarity effect corresponded well with the early and late P3b complex. The P3b complex is associated with stimulus categorisation and evaluation (early subcomponent) and memory search and criterion testing (late subcomponent).
The results suggest that the difficulty of a task is not only determined by load but also enhanced by probe-item similarity. Since increasing the number of samples (i.e. memory load) can also increase the probe-item similarity (i.e. the probability that one of the samples is perceptually similar to the probe), an independent manipulation of both factors is indispensable to disentangle their particular impact on short-term recognition. Furthermore, I propose that the two distinct neural correlates of the P3b complex reeffects different stages of task processing connected with probe-item similarity. As suggested by summed similarity VI models, these components might reflect the subprocesses of similarity summation (early P3b) and criterion testing (late P3b).
Der Körper der Puppe
(2011)
Claudia Peppel betrachtet Puppen aufgrund ihrer funktionalen Ambivalenz als Schlüsselfiguren des Unheimlichen bzw. Nicht-mehr-Heimischen. In ihrem historischen Überblick - von Puppen-Ahnen (ca. 7000 v. Chr.) über Vodou-Praktiken bis hin zur gegenwärtigen Modefotografie - richtet sie ihr Augenmerk auf die vielgestaltigen Beziehungen zwischen Puppen und Menschen in Religion, Kunst, Psychotherapie und Ökonomie. Als Teil von Inszenierungen überschreiten Puppen, gleichermaßen der Wirklichkeit wie der Einbildungskraft verpflichtet, je die Grenzen zwischen lebendig und artifiziell: Sie verweisen und repräsentieren und sind stets Kunstkörper, Ding, Modell und Menschenleib zugleich.
Poster presentation from Twentieth Annual Computational Neuroscience Meeting: CNS*2011 Stockholm, Sweden. 23-28 July 2011. One of the central questions in neuroscience is how neural activity is organized across different spatial and temporal scales. As larger populations oscillate and synchronize at lower frequencies and smaller ensembles are active at higher frequencies, a cross-frequency coupling would facilitate flexible coordination of neural activity simultaneously in time and space. Although various experiments have revealed amplitude-to-amplitude and phase-to-phase coupling, the most common and most celebrated result is that the phase of the lower frequency component modulates the amplitude of the higher frequency component. Over the recent 5 years the amount of experimental works finding such phase-amplitude coupling in LFP, ECoG, EEG and MEG has been tremendous (summarized in [1]). We suggest that although the mechanism of cross-frequency-coupling (CFC) is theoretically very tempting, the current analysis methods might overestimate any physiological CFC actually evident in the signals of LFP, ECoG, EEG and MEG. In particular, we point out three conceptual problems in assessing the components and their correlations of a time series. Although we focus on phase-amplitude coupling, most of our argument is relevant for any type of coupling. 1) The first conceptual problem is related to isolating physiological frequency components of the recorded signal. The key point is to notice that there are many different mathematical representations for a time series but the physical interpretation we make out of them is dependent on the choice of the components to be analyzed. In particular, when one isolates the components by Fourier-representation based filtering, it is the width of the filtering bands what defines what we consider as our components and how their power or group phase change in time. We will discuss clear cut examples where the interpretation of the existence of CFC depends on the width of the filtering process. 2) A second problem deals with the origin of spectral correlations as detected by current cross-frequency analysis. It is known that non-stationarities are associated with spectral correlations in the Fourier space. Therefore, there are two possibilities regarding the interpretation of any observed CFC. One scenario is that basic neuronal mechanisms indeed generate an interaction across different time scales (or frequencies) resulting in processes with non-stationary features. The other and problematic possibility is that unspecific non-stationarities can also be associated with spectral correlations which in turn will be detected by cross frequency measures even if physiologically there is no causal interaction between the frequencies. 3) We discuss on the role of non-linearities as generators of cross frequency interactions. As an example we performed a phase-amplitude coupling analysis of two nonlinearly related signals: atmospheric noise and the square of it (Figure 1) observing an enhancement of phase-amplitude coupling in the second signal while no pattern is observed in the first. Finally, we discuss some minimal conditions need to be tested to solve some of the ambiguities here noted. In summary, we simply want to point out that finding a significant cross frequency pattern does not always have to imply that there indeed is physiological cross frequency interaction in the brain.
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. ...