Explicating the influence of different types of glia-cells on neuronal plasticity by using agent-based modelling

[Speaker] Schmidt, Tino:1
[Co-author] Schmidt, Matthias:2, Henrich, Dietmar:1
1:Brandenburg University of Technology (Germany), 2:University of Applied Sciences Zittau/Goerlitz (Germany)

Practice has long been known to improve perceptual performance, but the neural basis of this improvement in humans remains unclear. From a general point of view the modification of synaptic efficacy seems to be the neural substrate for learning. From cellular studies it is well known, that long-term potentiation (LTP) and long-term depression (LTD) of synaptic transmission are highly relevant for being the relevant activity-dependent changes in synaptic connection strength. But the modus of the self-regulation of synaptic efficacy modification is still unknown. In our model we propose a slow time modus of different glia cells in addition to LTP/LTD mechanisms, spike-timing-dependent plasticity to modulate the cell-cell interactions in a agent based simulation. Based on this theoretical framework we can show, that neuronal plasticity and learning do not necessarily require explicit task training, which may explain a lot of empiric results on this field.
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