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Signal Processing in Neurons. DMSPiN: Detailed Modelling of Signal Processing in Neurons. Modeling of Pharmacological Effects. Understanding and testing plasticity mechanisms. A large variety of local i.e. cellular plasticity mechanisms has been documented over the last decades. Once our mechanistic model is in effect, we are able to test these hypotheses on the basis of our models. This eventually may be applied to sensory and motor learning.

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Prof. Dr. Gabriel Wittum

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Prof. Dr. Gabriel Wittum

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75248 O●●●●●●●-Duerrn , Regensburg, 75248

DE

49.7●●●●0315
wi●●●●@iwr.uni-heidelberg.de

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DMSPiN | dmspin.org Reviews
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Signal Processing in Neurons. DMSPiN: Detailed Modelling of Signal Processing in Neurons. Modeling of Pharmacological Effects. Understanding and testing plasticity mechanisms. A large variety of local i.e. cellular plasticity mechanisms has been documented over the last decades. Once our mechanistic model is in effect, we are able to test these hypotheses on the basis of our models. This eventually may be applied to sensory and motor learning.
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1 detailed modelling of
2 sections
3 concept
4 publications
5 events
6 gallery
7 opportunities
8 partners and projects
9 contact and links
10 personal tools
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DMSPiN | dmspin.org Reviews

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Signal Processing in Neurons. DMSPiN: Detailed Modelling of Signal Processing in Neurons. Modeling of Pharmacological Effects. Understanding and testing plasticity mechanisms. A large variety of local i.e. cellular plasticity mechanisms has been documented over the last decades. Once our mechanistic model is in effect, we are able to test these hypotheses on the basis of our models. This eventually may be applied to sensory and motor learning.

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Partners & Projects — DMSPiN

http://www.dmspin.org/partners-projects

Signal Processing in Neurons. To achieve the aims described in the concept, DMSPiN will focus on the following five projects. Calcium signaling from synapse to nucleus (Bading, Queisser, Wittum). Realistic modeling of presynaptic transmitter content and dynamics and its implications for synaptic plasticity (Draguhn, Queisser, Wittum). Development and function of basic networks (Schuster, Queisser, Wittum). Modelling of gap junction coupled interneurones (Monyer, Queisser, Wittum).

2

Events — DMSPiN

http://www.dmspin.org/events

Signal Processing in Neurons. DMSN 2009: Detailed Modelling and Simulation of Signal Processing in Neurons (Conference). Mai 26 - 27, 2009, Johann-Wolfgang Goethe University, Frankfurt am Main, Germany, Info. 24-279.2007, Göttingen. DMSN 2007: Workshop on Data-driven Modelling and Simulation of Signal Processing in Neurons. WiR Workshop on Data-driven Modelling and Computation in Neuroscience. 8-1152005, Hohenwart, Info.

3

Publications — DMSPiN

http://www.dmspin.org/publications

Signal Processing in Neurons. Queisser, G., Wittum, G. 2011) A method to investigate the diffusion properties of nuclear calcium. Queisser, G., Wiegert, S., and Bading, H. 2011) Structural dynamics of the nucleus: Basis for Morphology Modulation of Nuclear Calcium Signaling and Gene Transcription. DOI: 10.4161/nucl.2.2.15116. Jungblut, D., Queisser, G., Wittum, G. (2011). Inertia Based Filtering of High Resolution Images Using a GPU Cluster (in press). Comp Vis. Sci. Heumann, H., Wittum, G. Computational...

4

Concept — DMSPiN

http://www.dmspin.org/concept

Signal Processing in Neurons. We address these questions with a hierarchical approach starting from spatially resolved models of calcium signaling, including detailed mathematical description of the most relevant physico-chemical processes up to microcircuits, consisting of few connected neurons, as a paradigm for small local networks. We expect that detailed simulations will lead to a deeper understanding of the dynamics of neurons and microcircuits. This implies the following sub goals. Development of ...

5

Gallery — DMSPiN

http://www.dmspin.org/gallery

Signal Processing in Neurons. Reconstructed nuclei (by Gillian Queisser). To see the full movie click here). Simulation on a neuron morphology (by Konstantinos Xylouris). Transport in an infolded nucleus (by Gillian Queisser). Transport in a round nucleus (by Gillian Queisser). Visualization of a 3D tetrahedral mesh of a nucleus (by Gillian Queisser). Vesicle dynamics of a presynaptic bouton model of the. Larva neuromuscular junction (by Markus Knodel).

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DMSPiN

Signal Processing in Neurons. DMSPiN: Detailed Modelling of Signal Processing in Neurons. Modeling of Pharmacological Effects. Understanding and testing plasticity mechanisms. A large variety of local i.e. cellular plasticity mechanisms has been documented over the last decades. Once our mechanistic model is in effect, we are able to test these hypotheses on the basis of our models. This eventually may be applied to sensory and motor learning.

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