Die Vignette als Übung der Wahrnehmung / The vignette as an exercise in perception

Pedagogical work requires the willingness to engage with new situations and with people in their diversity. This book does not offer any simple recipes, but a gentle approach to important steps towards professionalisation in the teaching profession. These lead via an open attitude of perception and the inclusion of corporeality to an insight into how learning and teaching processes can be understood in a new or different way. With vignettes and examples from different pedagogical fields, the theoretical concepts are presented and reflected on their application. The book contains a German-language and an English-language version.Pädagogische Arbeit erfordert die Bereitschaft, sich auf immer neue Situationen und auf Menschen in ihrer Verschiedenheit einzulassen. Dieses Buch bietet dafür keine simplen Rezepte an, wohl aber wichtige Schritte zur Professionalisierung im pädagogischen Beruf. Diese führen über eine offene Haltung der Wahrnehmung und die Einbeziehung von Leiblichkeit hin zur Einsicht, wie Lern- und Lehrprozesse neu oder anders verstanden werden können. Mit Vignetten und Beispielen werden Konzepte dargelegt und auf ihre Anwendung hin reflektiert. Das Buch enthält den Text in einer deutschsprachigen und in einer englischsprachigen Version

FPGA Spiking Neural Processors With Supervised and Unsupervised Spike Timing Dependent Plasticity

Energy efficient architectures for brain inspired computing have been an active area of research with recent advances in the field of neuroscience. Spiking neural networks (SNN) are a class of artificial neural networks in which information is encoded in discrete spike events, closely resembling the biological brain. Liquid State Machine (LSM) is a computational model developed in theoretical neuroscience to describe information processing in recurrent neural circuits and can be used to model recurrent SNNs. LSM is composed of an input, reservoir and output layers. A major challenge in SNNs is training the network with discrete spiking events for which traditional loss functions and optimization techniques cannot be applied directly. Spike Timing Dependent Plasticity (STDP) is an unsupervised learning algorithm which updates synaptic weights based on time difference between spikes of pre synaptic and post synaptic neurons. STDP is a localized learning algorithm and induces self-organizing behaviors resulting in sparse network structures making it a suitable choice for low cost hardware implementation. SNNs are hardware friendly as presence or absence of a spike can be encoded using a binary digit. In this research, SNN processor with energy efficient architecture is developed and is implemented on Xilinx Zynq ZC706 FPGA platform. Hardware friendly learning rules based on STDP are proposed and reservoir and readout layers are trained with these learning algorithms. In order to achieve energy efficiency, sparsification algorithm utilizing STDP rule is proposed and implemented. On chip training and inference are carried out and it is shown that with the proposed unsupervised STDP for reservoir training and supervised STDP for readout training, classification performance of 95% is achieved for TI corpus speech data set. Classification performance, hardware overhead and power consumption of the processor with different learning schemes are reported

Basic Sciences Study Guide

This thesis is the beginning of a study guide to be completed for Pacific University students that are intending on taking Part I - Basic Sciences for the National Board of Examiners in Optometry. The sections covered in this section include Neuroscience, Biochemistry, Physiology and Psychology. It presents up-to-date, consistently formatted information that was compiled for, and folIows directly along with, the required topics for Part X of the board exams and it provides an alternative resource to the Berkeley Guide. The subjects indicated for Part I but not covered within this thesis will be compiled by students in following years

Out of equilibrium Statistical Physics of learning

In the study of hard optimization problems, it is often unfeasible to achieve a full analytic control on the dynamics of the algorithmic processes that find solutions efficiently. In many cases, a static approach is able to provide considerable insight into the dynamical properties of these algorithms: in fact, the geometrical structures found in the energetic landscape can strongly affect the stationary states and the optimal configurations reached by the solvers. In this context, a classical Statistical Mechanics approach, relying on the assumption of the asymptotic realization of a Boltzmann Gibbs equilibrium, can yield misleading predictions when the studied algorithms comprise some stochastic components that effectively drive these processes out of equilibrium. Thus, it becomes necessary to develop some intuition on the relevant features of the studied phenomena and to build an ad hoc Large Deviation analysis, providing a more targeted and richer description of the geometrical properties of the landscape. The present thesis focuses on the study of learning processes in Artificial Neural Networks, with the aim of introducing an out of equilibrium statistical physics framework, based on the introduction of a local entropy potential, for supporting and inspiring algorithmic improvements in the field of Deep Learning, and for developing models of neural computation that can carry both biological and engineering interest

The vignette as an exercise in perception. On the professionalisation of educational practices

Pädagogische Arbeit erfordert die Bereitschaft, sich auf immer neue Situationen und auf Menschen in ihrer Verschiedenheit einzulassen. Dieses Buch bietet dafür keine simplen Rezepte an, wohl aber wichtige Schritte zur Professionalisierung im pädagogischen Beruf. Diese führen über eine offene Haltung der Wahrnehmung und die Einbeziehung von Leiblichkeit hin zur Einsicht, wie Lern- und Lehrprozesse neu oder anders verstanden werden können. Mit Vignetten und Beispielen werden Konzepte dargelegt und auf ihre Anwendung hin reflektiert. (DIPF/Verlag)Pedagogical work requires the willingness to engage with new situations and with people in their diversity. This book does not offer any simple recipes, but a gentle approach to important steps towards professionalisation in the teaching profession. These lead via an open attitude of perception and the inclusion of corporeality to an insight into how learning and teaching processes can be understood in a new or different way. With vignettes and examples from different pedagogical fields, the theoretical concepts are presented and reflected on their application

Η βινιέτα ως άσκηση αντίληψης. Μία προσέγγιση για την επαγγελματοποίηση της παιδαγωγικής δράσης

Pädagogische Arbeit erfordert die Bereitschaft, sich auf immer neue Situationen und auf Menschen in ihrer Verschiedenheit einzulassen. Dieses Buch bietet dafür keine simplen Rezepte an, wohl aber wichtige Schritte zur Professionalisierung im pädagogischen Beruf. Diese führen über eine offene Haltung der Wahrnehmung und die Einbeziehung von Leiblichkeit hin zur Einsicht, wie Lern- und Lehrprozesse neu oder anders verstanden werden können. Mit Vignetten und Beispielen werden Konzepte dargelegt und auf ihre Anwendung hin reflektiert. (DIPF/Verlag)Pedagogical work requires the willingness to engage with new situations and with people in their diversity. This book does not offer any simple recipes, but a gentle approach to important steps towards professionalisation in the teaching profession. These lead via an open attitude of perception and the inclusion of corporeality to an insight into how learning and teaching processes can be understood in a new or different way. With vignettes and examples from different pedagogical fields, the theoretical concepts are presented and reflected on their application