Markus Diesmann

Address:

Laboratory for Computational Neurophysics

RIKEN Brain Science Institute

2-1 Hirosawa

Wako City, Saitama

351-0198, Japan

 

 

 

Affiliate Associate Professor

Division of New Technology Development

Saitama University Brain Science Institute (SUBSI)

Saitama City, Saitama

338-8570, Japan

 

Brain and Neural Systems Team

RIKEN Computational Science Research Program

Wako City, Saitama

351-0198, Japan

 

The cortical neuronal network is among the most complex structures found in nature. The functional role of its dynamics exhibited on many spatio-temporal scales is presently not understood. Furthermore, in contrast to other systems, the structure of the cortex is in fact not static but undergoes a continuous activity dependent reorganization. The Diesmann Research Unit studies the mechanisms and functional consequences of spike synchronization and plasticity in biologically realistic models of the cortical network. However, this bottom-up approach alone may not lead to an understanding of brain function. For this reason we also incorporate top-down approaches in our research. At the interface of top-down and bottom up approaches, our strategy is to implement established formal theories of system function like temporal-difference learning in biologically constrained network models. These investigations depend on large-scale simulations requiring non-standard algorithms and high-performance parallel computing. Therefore, the unit is also concerned with the creation of appropriate simulation technology.

 

See Projects and also the NEST Initiative for detailed descriptions.

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