Miner, D.; Wörgötter, F.; Tetzlaff, C.; Fauth, M. Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission. Biology2021, 10, 577.
Miner, D.; Wörgötter, F.; Tetzlaff, C.; Fauth, M. Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission. Biology 2021, 10, 577.
Miner, D.; Wörgötter, F.; Tetzlaff, C.; Fauth, M. Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission. Biology2021, 10, 577.
Miner, D.; Wörgötter, F.; Tetzlaff, C.; Fauth, M. Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission. Biology 2021, 10, 577.
Abstract
Our brains process information using a layered hierarchical network architecture, with abundant connections within each layer and sparse long-range connections between layers. As these long-range connections are mostly unchanged after development, each layer has to locally self-organize in response to new inputs to enable information routing between the sparse in- and output connections. Here we demonstrate that this can be achieved by a well-established model of cortical self-organization based on a well-orchestrated interplay between several plasticity processes. After this self-organization, stimuli conveyed by sparse inputs can be rapidly read out from a layer using only very few long-range connections. To achieve this information routing, the neurons that are stimulated form feed-forward projections into the unstimulated parts of the same layer and get more neurons to represent the stimulus. Hereby, the plasticity processes ensure that each neuron only receives projections from and responds to only one stimulus such that the network is partitioned into parts with different preferred stimuli. Along this line, we show that the relation between the network activity and connectivity self-organizes to a biologically plausible regime. Finally, we argue how the emerging connectivity may minimize the metabolic cost for maintaining a network structure under the above described constraints.
Keywords
self-organization; synaptic plasticity; information transfer
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
