@article {Tetzlaff016725, author = {Christian Tetzlaff and Sakyasingha Dasgupta and Tomas Kulvicius and Florentin W{\"o}rg{\"o}tter}, title = {Self-organization of Computation in Neural Systems}, elocation-id = {016725}, year = {2015}, doi = {10.1101/016725}, publisher = {Cold Spring Harbor Laboratory}, abstract = {When learning a complex task our nervous system self-organizes large groups of neurons into coherent dynamic activity patterns. During this, a cell assembly network with multiple, simultaneously active, and computationally powerful assemblies is formed; a process which is so far not understood. Here we show that the com- bination of synaptic plasticity with the slower process of synaptic scaling achieves formation of such assembly networks. This type of self-organization allows executing a difficult, six degrees of freedom, manipulation task with a robot where assemblies need to learn computing complex non-linear transforms and {\textendash} for execution {\textendash} must cooperate with each other without interference. This mechanism, thus, permits for the first time the guided self-organization of computationally powerful sub-structures in dynamic networks for behavior control.}, URL = {https://www.biorxiv.org/content/early/2015/03/19/016725}, eprint = {https://www.biorxiv.org/content/early/2015/03/19/016725.full.pdf}, journal = {bioRxiv} }