Весенняя школа "Models in neuroscience: turning experiments into knowledge"
Дата опубликования: 11.01.2008
Категория: Новости кафедры
Опубликовал: Yury Zaytsev
Весной с 27 апреля по 5 мая 2008 г. в Санкт-Петербурге будет проходить научная школа “Models in neuroscience: turning experiments into knowledge” под эгидой проектов PENS/Tempus School. Предлагаем ознакомиться с флаером (в формате PDF) или проследовать на страничку http://www.neuroscience.spb.ru/school (на английском), где всегда можно будет найти последнюю информацию о школе. Надеемся, что нам удастся поучаствовать в этом, без сомнения, очень интересном мероприятии.
Ниже привожу цитату с упомянутого сайта с краткой информацией о школе:
Chairman/Director: Acad. Prof. Risto Näätänen (Cognitive Brain Research Unit, Helsinki, Finland)
The school will focus on training students to transform experimental data into plausible theoretical models. The lectures will describe how to use mathematical model-based approaches to infer knowledge from the experimental data and how to exploit statistical models for establishing the significance of findings. The school will emphasize the role of modeling as a knowledge structuring tool. The goal of the school is to bridge the gap between future cellular and cognitive neuroscientists and to engage the students majoring in physics and math into the field of computational neuroscience. We welcome the applications from graduate students and young post-docs with interest in cellular and cognitive neuroscience as well as the students with physics/math major.
Place and time: Saint Petersburg, Russia, April 27 - May 5, 2008
- Cellular neuroscience: biophysics of ionic channels, synaptic and circumneuronal signal transmission, synaptic plasticity, techniques of imaging and electrophysiology
- Cognitive neuroscience: memory, attention, language, brain imaging , multi-modal integration in cognitive data analysis, event-related potentials and fields
- Computational neuroscience: single-neuron and neural population modeling, dynamic causal modeling (DCM), non-parametric statistical analysis of EEG/MEG data
The logical sequence of lecture topics guides students through the scope of neuroscience problems at different levels, starting from biophysics of ionic channels, underlying spike generation in a neuron, and mechanisms of synaptic and extrasynaptic transmission through models of single ionic channels, neurons, neural populations and neural masses to EEG&MEG-signal analysis and interpretation allowing for the exploration of higher nervous activity such as memory and cognition in general.
The lectures on experimental neuroscience will be followed by the theoretical lectures describing appropriate tools to analyze experimental data and to build realistic, data-driven models. During practical sessions the students will model real neurobiological data from cellular and cognitive neuroscience experiments. Each session structure reflects the stages of an investigation: from an experiment via physiological model to theoretical model. The lectures will cover the advanced experimental paradigms used in cellular and cognitive neurosciences (e.g. dynamic clamp measurements, modeling of neuronal populations, event-related potentials, coherence analysis and synchrony detection).
This school is organized jointly by St. Petersburg University and the Department of Neurodynamics and Neurobiology of Nijniy Novgorod State University (NNSU, Russia) in collaboration with experts at the University of Helsinki (Finland), Medical Research Council’s Cognition and Brain Sciences Unit (Cambridge, UK), FC Donders Center for Cognitive Neuroimaging (Netherlands), University College London (UK).