 Good evening everybody. I will consider the structural red connectome in a generic and In a generic and platform independent open framework called neuro visas and the system allows you to Import different types of image stacks for example MRI images Histological images are these atlas images and then outline regions in these images and assign them to a user-defined ontology in this approach Using these outlines. It's very easy to visualize and compute surfaces in 3d for example for all three for all regions in the red Stereotextic atlas of Park Sinos and an explosion you a further important data type or data modality our connections in between these regions and these Connections are organized in very deep hierarchy ontology of up to 20 subdivisions of regions and for this we have developed a filtering mechanism in order to navigate through this very huge Hierarchy with thousands of regions here's just a Small selection of some significant regions of the left left and right hemisphere and Of left body side organs and right body side organs and as everybody can see the density of connectivity in Central regions is quite large but there exist also a significant number of connections from central regions to the periphery and from peripheral organs to Central regions these the density of connections and Described and track tracing in the track tracing literature in most cases by Semi quantitative values, which are color coded here So far we have collated data from over 5,000 track tracing publications of the red or which were applied to the who read organism and 250,000 connections per hemisphere Included in the red connectome and the region which has the most outputs and inputs is the lateral hypothalamus Most connections have been described within hierarchy or subdivision level 12 but there exists also a significant amount of connections which were described in between different subdivision levels and Recently we introduced a new type of connection Called collateral connection these are branches of axons and and the largest frequency of these collatorals are Collatorals with two branches, but we found also a Collateralization of up to 17 axonal branches In a particular type of neurons in the ventral medial nucleus of the thalamus is striped by Kuramoto and these collatorals or data of these collatorals Available for ipsi lateral and contralateral connections Here I like to show you an adjacency matrix which consists only of Connections which are described in terms of Collaterality and I would like to draw your attention to this stripe over here, which belongs to a higher density of collatorals from the prefrontal cortex and To this stripe here. This is from the secondary visual area lateral part. There's also a significant amount of such collatorals So the next new type of Connectivity data are polysynaptic pathways and these polysynaptic pathways and most cases Investigated by applying pseudo rabious virus injections and the most cases in the peripheral nervous system We found 1200 Paths which have a pastings of three that means that they connect three neurons by two synapses but There's also There are also some pathways which are quite longer for example described by leaving tile after applying pseudo rabious into the kidney to Investigate the connectivity the efferent connectivity of the kidney to the central nervous system and again here's a adjacency matrix of all these components of pathways and In the hypothalamus the density of these Pathway polysynaptic pathway components is especially larger, but in the cerebral cortex there exists not so many data But in the cerebellum and spinal cord pathway connections are also Larger and the next slide. I would like to draw your attention to this epsilon part of the adjacency matrix Bilateral connection matrix in order to show that there exists also some information of Polysynaptic pathway connections from the peripheral organs to the spinal cord and from the spinal cord to further central regions We intend to use these connectome data to define Simulation simulations of populations in the central nervous system and for this we need also some new physiological data and we have Imported the neuroelectro database and assigned each neuron in this database to the connectome region what we need also for a simulation are estimates of the total number of neurons in all regions of the forebrain and This is realized in an ongoing study We are segmenting and classifying all types of cells in virtual slides for example here is a Motor cortex and the codate put them in having all these raw data it is possible to define a really realistic Simulation For this okay for this we have in graphical user interface to the simulation engine nest And we are using our raw data to can for the defining Pinest simulation script which is transferred to the simulation engine nest and the following I show you such Result of the simulation where a spike injection over five milliseconds Was applied to the primary motor cortex in the bilateral Bazaar ganglia system. Here's the spike injection and what you see here is the original connectome of these regions of the Bazaar ganglia and the mean population activity which is propagating from The left hemisphere to the right hemisphere in the licky integrate and fire neuromodel with 80% excitatory and 20% inhibitor neurons neurons in the future. Oh, this is also Project which has already started. We are segmenting the complete musculoskeletal system in a huge career section data set of the red in order to control this musculoskeletal system by a realistic simulation of Neurons in the center nervous system Okay, that's all. Thank you for your attention