Research on PISA: Research Outcomes of the PISA Research Conference 2009
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Registration is possible through the conference registration system. She currently works as Assistant Professor at the Dept.
Lecture title: Reconstruction and simulation of the cerebellar microcircuit. Computational models allow propagating microscopic phenomena into large-scale networks and inferencing causal relationships across scales. Therefore, a cerebellum scaffold model has been developed and tested. It maintains scalability and can be flexibly handled to incorporate neuronal properties on multiple scales of complexity.
The cerebellar scaffold includes the canonical neuron types: Granular cell, Golgi cell, Purkinje cell, Stellate and Basket cells, Deep Cerebellar Nuclei cell. The network was run in the neural simulator pyNEST. Complex spatiotemporal patterns of activity, similar to those observed in vivo, emerged [Casali et al, Front Neuroinf. It could reproduce a rich variety of electroresponsive patterns with a single set of optimal parameters.
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Complex single neuron dynamics and local connectome are key elements for cerebellar functioning. Then, point-neurons have been replaced by detailed 3D multi-compartment neuron models. Further properties emerged, strictly linked to the morphology and the specific properties of each compartment. This multiscale tool with different levels of realism has the potential to summarise in a comprehensive way the electrophysiological intrinsic neural properties that drive network dynamics and high-level behaviours.
The model, equipped with ad-hoc plasticity rules, has been embedded in a sensorimotor loop of EyeBlink Classical Conditioning. The network output evolved along repetitions of the task, therefore letting emerge three fundamental operations ascribed to the cerebellum: prediction, timing and learning of motor commands. Andrew graduated from St. He also likes to help researchers execute their neural network simulations on SpiNNaker, and has been involved in various tasks to this end, including the first verified execution of a cortical microcircuit on a neuromorphic platform.
SpiNNaker is a massively parallel low power supercomputer designed to model large spiking neural networks in real time, and consists of 1 million ARM cores, each with a low instructional memory ITCM limit of 32K. The architectural design of the machine lends itself easily to the simulation of spiking neural networks due to its ability to send and route multiple small messages from any point on the machine to multiple other points simultaneously.
It has also been used for other massively-parallel non-neural simulations, and has applications in real-time robotics. This talk will introduce the machine, and will then discuss some of the different applications that can be run on the machine, including the link-up with the EU Human Brain Project's Neurorobotics Platform.
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I will also discuss how users can access the platform both as an introductory user getting to know the platform and for running larger jobs that might take longer to complete. Ethics will be introduced as the scientific discipline concerned with moral problems. Approaches and methods will be presented which have been developed over the past years for framing and discussing ethical issues which arise in science in general as well as in the context of current neuroscientific research in particular.
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Update my browser now. Cookies disclaimer I agree Our site saves small pieces of text information cookies on your device in order to deliver better content and for statistical purposes. Admission to all scientific sessions Conference material Coffee breaks during the conference The fee does not include travel and accommodation. Can I apply for any financial support? Review of the use of technology in Mathematics education and the related use of CAS calculators in external examinations and in post school tertiary education settings.
Woods-McConney, A. Indigenous Student Success in Science. Perth: Murdoch University, School of Education. Fast track teacher education: A review of the research literature on Teach For All schemes. Perth: Murdoch University. Kissane, B. Rockville, MD: Westat.
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Evaluation of the Effectiveness of the 21st Century Community Schoolhouse. Rudd, A. Hansen, J. Mapping educational inequalities by school socioeconomic composition in Australia.
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Rotterdam: Sense Publishers. Review of the Dimensions of Excellence Scales [ Edition] , pp. In, B. Impara Eds. Indicators of student learning in teacher evaluation. In, James H. Stronge Ed. Thousand Oaks, CA: Corwin. Gender differences in the environmental decision making of secondary school students. In, Patricia J. Thompson Ed. New York: Peter Lang Publishing.
Toward a unified model: The foundations of educational personnel evaluation. Developing engagement and literacy in science: What do the girls say? Where Are All The Girls?
lockrivoufuljo.tk Student achievement, socioeconomic status and educational equity in Australia and Canada. Achievement gaps by student and school socio-economic status: a comparison of Australia and Canada.
Maths by Email: The First Year. Cross-national comparisons of the relationship between school SES and student outcomes. Beltman, S. Teacher resilience: A systematic review of recent literature.
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The 36 OECD members are participating and it is expected that over 50 non-members will implement the assessment too. As in previous cycles, students will be tested in reading, mathematics and science. This time the focus will be on mathematics. In addition, students will be tested in an innovative subject - creative thinking. A call for tenders for the contractors responsible for implementing the PISA survey was launched in June For the assessment, of the three core subjects: reading, mathematics and science, the focus will be on science.