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Haack, Wiese, Abraham, & Chiarcos (2010). Proceedings of KogWis 2010. Potsdam Cognitive Science Series 2.
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There is a long-standing debate about the principles constraining the combinatorial properties of suffixes. Hay 2002 and Hay & Plag 2004 proposed a model in which suffixes can be ordered along a hierarchy of processing complexity. We show that this model generalizes to a larger set of suffixes, and we provide independent evidence supporting the claim that a higher rank in the ordering correlates with increased productivity. Behavioral data from lexical decision and word naming show, however, that this model has been one-sided in its exclusive focus on the importance of constituent-driven processing, and that it requires supplementation by a second and equally important focus on the role of memory. Finally, using concepts from graph theory, we show that the space of existing suffix combinations can be conceptualized as a directed graph, which, with surprisingly few exceptions, is acyclic. This acyclicity is hypothesized to be functional for lexical processing.
It has been shown that mental rotation of objects and human body
parts is processed differently in the human brain. But what about body
parts belonging to other primates? Does our brain process this information
like any other object or does it instead maximize the structural
similarities with our homologous body parts? We tried to answer this
question by measuring the manual reaction time (MRT) of human
participants discriminating the handedness of drawings representing
the hands of four anthropoid primates (orangutan, chimpanzee, gorilla,
and human). Twenty-four right-handed volunteers (13 males and
11 females) were instructed to judge the handedness of a hand drawing
in palm view by pressing a left/right key. The orientation of hand
drawings varied from 0º (fingers upwards) to 90º lateral (fingers
pointing away from the midline), 180º (fingers downwards) and 90º
medial (finger towards the midline). The results showed an effect of
rotation angle (F(3, 69) = 19.57, P < 0.001), but not of hand identity,
on MRTs. Moreover, for all hand drawings, a medial rotation elicited
shorter MRTs than a lateral rotation (960 and 1169 ms, respectively,
P < 0.05). This result has been previously observed for drawings of the
human hand and related to biomechanical constraints of movement
performance. Our findings indicate that anthropoid hands are essentially
equivalent stimuli for handedness recognition. Since the task
involves mentally simulating the posture and rotation of the hands, we
wondered if “mirror neurons” could be involved in establishing the
motor equivalence between the stimuli and the participants' own hands.
Presents a theory of norms and normality and applies the theory to phenomena of emotional responses, social judgment, and conversations about causes. Norms are assumed to be constructed ad hoc by recruiting specific representations. Category norms are derived by recruiting exemplars. Specific objects or events generate their own norms by retrieval of similar experiences stored in memory or by construction of counterfactual alternatives. The normality of a stimulus is evaluated by comparing it with the norms that it evokes after the fact, rather than to precomputed expectations. Norm theory is applied in analyses of the enhanced emotional response to events that have abnormal causes, of the generation of predictions and inferences from observations of behavior, and of the role of norms in causal questions and answers. (3 p ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
The paper argues that cognitive states of biological systems are inherently temporal. Three adequacy conditions for neuronal
models of representation are vindicated: the compositionality of meaning, the compositionality of content, and the co-variation
with content. Classicist and connectionist approaches are discussed and rejected. Based on recent neurobiological data, oscillatory
networks are introduced as a third alternative. A mathematical description in a Hilbert space framework is developed. The
states of this structure can be regarded as conceptual representations satisfying the three conditions.
Recent developments in the study of cognitive emotion regulation illustrate how functional imaging is extending behavioral analyses. Imaging studies have contributed to the development of a multilevel model of emotion regulation that describes the interactions between neural systems implicated in emotion generation and those implicated in emotional control. In this article, we review imaging studies of one type of cognitive emotion regulation: reappraisal. We show how imaging studies have contributed to the construction of this model, illustrate the interplay of psychological theory and neuroscience data in its development, and describe how this model can be used as the basis for future basic and translational research.
This book presents the first comprehensive study of how children acquire complex sentences. Drawing on observational data from English-speaking children aged 2;0 to 5;0, Holger Diessel investigates the acquisition of infinitival and participial complement clauses, finite complement clauses, finite and nonfinite relative clauses, adverbial clauses, and coordinate clauses. His investigation shows that the development of complex sentences originates from simple nonembedded sentences and that two different developmental pathways can be distinguished: complex sentences including complement and relative clauses evolve from simple sentences that are gradually expanded to multiple-clause constructions, and complex sentences including adverbial and coordinate clauses develop from simple sentences that are integrated into a specific biclausal unit. He argues that the acquisition process is determined by a variety of factors: the frequency of the various complex sentences in the ambient language, the semantic and syntactic complexity of the emerging constructions, the communicative functions of complex sentences, and the social-cognitive development of the child.
Die vorliegende Arbeit befasst sich mit der wissensbasierten Modellierung von Audio-Signal-Klassifikatoren (ASK) für die Bioakustik. Sie behandelt ein interdisziplinäres Problem, das viele Facetten umfasst. Zu diesen gehören artspezifische bioakustische Fragen, mathematisch-algorithmische Details und Probleme der Repräsentation von Expertenwissen. Es wird eine universelle praktisch anwendbare Methode zur wissensbasierten Modellierung bioakustischer ASK dargestellt und evaluiert. Das Problem der Modellierung von ASK wird dabei durchgängig aus KDD-Perspektive (Knowledge Discovery in Databases) betrachtet. Der grundlegende Ansatz besteht darin, mit Hilfe von modifizierten KDD-Methoden und Data-Mining-Verfahren die Modellierung von ASK wesentlich zu erleichtern. Das etablierte KDD-Paradigma wird mit Hilfe eines detaillierten formalen Modells auf den Bereich der Modellierung von ASK übertragen. Neunzehn elementare KDD-Verfahren bilden die Grundlage eines umfassenden Systems zur wissensbasierten Modellierung von ASK. Methode und Algorithmen werden evaluiert, indem eine sehr umfangreiche Sammlung akustischer Signale des Großen Tümmlers mit ihrer Hilfe untersucht wird. Die Sammlung wurde speziell für diese Arbeit in Eilat (Israel) angefertigt. Insgesamt werden auf Grundlage dieses Audiomaterials vier empirische Einzelstudien durchgeführt: - Auf der Basis von oszillographischen und spektrographischen Darstellungen wird ein phänomenologisches Klassifikationssystem für die vielfältigen Laute des Großen Tümmlers dargestellt. - Mit Hilfe eines Korpus halbsynthetischer Audiodaten werden verschiedene grundlegende Verfahren zur Modellierung und Anwendung von ASK in Hinblick auf ihre Genauigkeit und Robustheit untersucht. - Mit einem speziell entwickelten Clustering-Verfahren werden mehrere Tausend natürliche Pfifflaute des Großen Tümmlers untersucht. Die Ergebnisse werden visualisiert und diskutiert. - Durch maschinelles mustererkennungsbasiertes akustisches Monitoring wird die Emissionsdynamik verschiedener Lauttypen im Verlaufe von vier Wochen untersucht. Etwa 2.5 Millionen Klicklaute werden im Anschluss auf ihre spektralen Charakteristika hin untersucht. Die beschriebene Methode und die dargestellten Algorithmen sind in vielfältiger Hinsicht erweiterbar, ohne dass an ihrer grundlegenden Architektur etwas geändert werden muss. Sie lassen sich leicht in dem gesamten Gebiet der Bioakustik einsetzen. Hiermit besitzen sie auch für angrenzende Disziplinen ein hohes Potential, denn exaktes Wissen über die akustischen Kommunikations- und Sonarsysteme der Tiere wird in der theoretischen Biologie, in den Kognitionswissenschaften, aber auch im praktischen Naturschutz, in Zukunft eine wichtige Rolle spielen.
In 5 experiments, the authors assessed repetition priming for words, pseudowords, and nonwords using a task that combines an implicit perceptual fluency measure and a recognition memory assessment for each list item. Words and pseudowords generated a consistently strong repetition effect even when there was a failure to recognize the stimulus. In 2 of the experiments, the repetition effect for nonwords was reliably above chance even when there was a failure to recognize the stimulus. The authors propose a parallel distributed processing (PDP) model based on the work of J. McClelland and D. Rumelhart (1985) as a way to understand the mechanisms potentially responsible for the pattern of findings. Although the error-driven nature of learning in the model results in a poor fit to the nonword priming data, this is not endemic to all PDP models. Using a model based on Hebbian learning, the authors instantiate a property that they believe is characteristic of implicit memory - that learning is primarily based on the strengthening of connections between units that become active during the processing of a stimulus. This model provides a far more satisfactory account of the data than does the error-driven model.