University of Plymouth
University of Plymouth50.37038 -4.142653
DescriptionThe aim of this multidisciplinary programme is to foster a new generation of scientists who have been trained in understanding the main principles about the brain functioning and neuroscientific methodologies to collect and analyse experimental data.
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This programme is unique in Europe in providing training within the quickly evolving cutting-edge discipline of Theoretical Neuroscience. It is especially suitable for students from the experimental sciences (psychology, biology and medicine). Students with engineering, computing, physics, mathematics and similar degrees wishing to broaden their horizons towards applications in the amazing field of brain modelling will find this programme very attractive.
Neuroscience is one of the most intensively developing and important sciences of the 21st century. Huge progress has been made in experimental approaches and techniques. In particular the imaging and recording of brain activity is providing extensive experimental data about different aspects of brain functioning. Theoretical neuroscience provides the solid basis necessary to understand the data and shed fresh light on the basic mechanisms underpinning brain function at the cellular, circuit and systems levels.
The programme is developed in the Centre for Theoretical and Computational Neuroscience (CTCN) . The CTCN is one of the leading centres in the field of theoretical neuroscience. The Centre has bought together a range of international experts from various backgrounds. This rich mix of computational, mathematical and neuroscience expertise provides a unique opportunity for students to acquire multidisciplinary training.
The MSc training programme offers a wide range of theoretical techniques which are under intensive use in neuroscience. These methods include the development and study of computational models of neural activity, brain structures, and cognitive functions such as perception, attention and memory. Statistical techniques are used to analyse different types of experimental neuroscience data. The core taught modules integrate the neurobiological, cognitive, mathematical, and computational knowledge and skills needed to theoretically investigate fundamental issues concerning brain function.
In addition to the taught modules, students will work individually with one or more research advisors to develop research projects and learn how to carry out advanced interdisciplinary research in their chosen research areas.