 In the following ten minutes, I'm going to go very fast over the results, some results of about two years of work. Not only mine, but also Larry Swanson's and the statistical analysis was done by Dr. Olaf Sporns from Indiana University. So first some definitions, refresh. So the connectome as it was defined initially by Kötter and Sporns in 2005 was the set of all connections. Well, connection means the can be found at the lowest level, at the axon level or synaptic level can be found between cell classes or cell types or can be found, can be defined at the level of brain regions when brain regions are thought to be let's say more or less black boxes. So to specify between these three levels of organization, microconnectome is the word or the term for connections at the level of brain regions. I like to start each and every presentation about the rat microconnectome with this slide from Larry Swanson's Atlas in 2003. It's the central nervous system of the rat flattened and it shows the central nervous system with all its, let's say, brain regions, gray better subdivisions and parts, as well as the major fiber tracts. To make the short, the low story short, the smallest regions, the best defined, if you want, regions are about 500 and the simplest way to represent a connectome, that means connections of the level of central nervous system would be in a matrix format which will have a 500 by 500 dimension. So 500 columns and 500 rows. And the cerebral cortex, which I'm going to talk today, it's the microconnectome of the cerebral cortex. I'm going to talk today. It's only this small rectangle, just to put things in perspective. In gray is the central nervous system, the cerebral cortex of the rat, as, let's say, made a little bit of dissociation from the base of ganglia. For the nomenclature we have 73 gray matter regions in the cerebral cortex of the rat and cerebral cortex of the rat in our definition or in our nomenclature means also regions like claustrum or the cortical parts of the amygdala. So it's not only, let's say, the set of those 40 or 40-something regions which everybody is used to. So if we have a 73 by 73 matrix, that means we have 5,566 association microconnections in this matrix. Possible microconnections. So the first thing we've done was to start gathering data from the literature, which for the cerebral cortex is quite rich. And we started with neural, not with techniques, tracking techniques that were reliable. So from 1960s to today. Just the word, our way of collating and annotating data is a little bit different than that of neural visas. After about 250 private research papers read, annotated, mapped, remapped. And after about 16,000 reports inserted into the database of the brain architecture management system, we can say that we covered the literature, primary literature, which is related to experiments with track tracers in the rat, cerebral cortex. So this is the first point, the first message, simple message I want to convey this evening. The matrix, so the rat, cerebral cortex, microconnection, or association microconnection is covered about 81%, 81.2%, something like this. We have, since almost all connectivity data are expressed, described in qualitative terms, we have a pretty, let's say, developed way of coding for strengths from very strong, which is red going towards yellow, which is moderate, going towards blue, weak and very weak. We have some reports of the form X projects to Y and doesn't say the strength of the connection. And we say about these that a connection exists, but we don't know the strength. Black means the connection is for sure absent, was found absent. And gray or white means we don't know yet, no data. So in the first form, the rat, cerebral cortex, microconnection looks like this, 73 by 73 again. From is on the vertical on column, to is on horizontal. So what we've done, the problem is when you start analyzing this data, the first problem, I'm not going, sorry, I'm not going to get into the details of evaluating the reliability of reports of track tracers. This is the subject of another, I don't know, maybe a class. The problem is with this, when you start analyzing, the system is with the weights or the strength of connections. What does it mean very strong? What does it mean very strong versus strong or versus moderate? Looking into the rat literature as best as we could. And also looking at the newest findings in the macaque cortex literature, we said that a 10 to the 4 scale, exponential scale or 4 logarithmic scale, 4 units logarithmic scale would be good enough. So 1 in this case 0.7 would mean very strong and the last one very weak would be 10 to minus 4. And what we've got, we've got when we applied cluster analysis and for cluster analysis we use the, let's say, a rather new way of grouping the things called the Louvain algorithm. We found four modules, which here are shown as weighted connections and here log weighted to see better graded. And the second message or simple idea that I try to convey this evening is that the four modules we identify from this data, 81% failed with real data is that these modules are organized topographically and also structural functionally. We can look at these four modules first as a sensory motor core. M1 is, the first module is made only of visual auditory regions. The second M2, which we called, is made of somatosensory and motor regions, but not only primary motor, secondary motor, but also regions like gustatory cortex or visceral cortex, which also motor. The third one would be the, let's say, the dorsal part of a limb limbic shell, if you want, and includes those regions that are more or less involved in the navigation of space of the animal plus anterior singulate cortices, expectation. And finally, the fourth module, which would be something like the ventral part of the shell, the limbic shell is made purely, almost purely of regions related to olfaction. In another way of representing this network of 73 by 73 is in this way, let's say a 3D network, the colors are the ones I used before, so this would be the olfactory module and this would be the visual auditory module. Look at the distance, oops, look at the distance between them. Very few shared connections. And the green one would be the dorsal limbic and here the blue one would be the so-called somatomotor. The size of the bullets are proportional with the degree of the node. So I'm said that I have to wrap up. Okay. The last thing I want to say, I hope I don't abuse your patience, is that the so-called rich club regions, the most important regions in the system are also organized, let's say structurally and let's say are organized in topographical fashion. So I don't say any, I cannot say any conclusions because the story is not said yet. Thank you.