PT  - JOURNAL ARTICLE
AU  - Christian Tetzlaff
AU  - Sakyasingha Dasgupta
AU  - Tomas Kulvicius
AU  - Florentin Wörgötter
TI  - Self-organization of Computation in Neural Systems
AID  - 10.1101/016725
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 016725
4099  - http://biorxiv.org/content/early/2015/03/19/016725.short
4100  - http://biorxiv.org/content/early/2015/03/19/016725.full
AB  - 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 – for execution – 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.