Bernstein Center for Computional Neuroscience Munich
Computational Neuroscience combines experimental neuroscience with advanced data analysis, computer simulation, and mathematical modeling. On the basis of well-defined theoretical concepts, Computational Neuroscience provides a unifying scientific language and methodology that can be used across disciplines ranging from neurobiology to cognitive science, systems biology, and information technology.
Computational Neuroscience has made great strides in the last years, clearly shaping the way we think about neuronal dynamics and information processing. This concerns in particular the topic for joint Research at the Bernstein Center for Computational Neuroscience in Munich – “How are space and time represented in neuronal systems?”
The center is part of National Bernstein Network for Computational Neuroscience (NNCN), funded by the Federal Ministry of Education and Research. The Network is named after Julius Bernstein (1835-1917), the German physiologist and biophysicist whose “Membrane Theory” gave the first explanation of action potentials (1902).
The main scientific focus of the Bernstein Center Munich lies on the investigation and understanding of Neural Representations of Space and Time. Convenient processing of space and time in the brain is of fundamental importance for the survival of organisms – from the localization of objects by auditory and visal cues to the planning and neuronal control of future movements. To answer the question of how living organisms (have learnt to) solve the hard computational problems inherent to spatio-temporal information processing, the Bernstein Center Munich has an interdisciplinary and comparative approach:
Through theoretical concepts and methods (A), we aim to advance and closely connect experimental neuroscience (B), engineering (C) and translational research to medicine (D). Six sub-themes foster intense scientific and methodological interactions strongly interlink the Center’s Principial Research Projects. Projects concerning Invariant Representations, Population Codes and Multimodal Interactions address key concepts of neural computation and set the stage for understanding representations of space-time on the single-cell, network, and system’s level. Projects concerning Closed-Loop Technologies, Hearing & Neuroprostheses and Navigation forge methodological links across projects and cover important application aspects.
Department Biology II Neurobiology
Munich Center for Neurosciences – Brain & Mind
Großhaderner Str. 2
Tel.: +49 (0)89 / 2180-74303
Quelle: bccn munich (Text)