0000000000916229
AUTHOR
Tomas Kulvicius
Self-organization of Computation in Neural Systems
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 combination 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 interfer…
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
International audience; No abstract available