Synaptic delay adaption and growth models for competitive self-organization in cortical maps
|has title::Synaptic delay adaption and growth models for competitive self-organization in cortical maps|
|Master:||project within::Cognitive Science|
|Student name:||student name::Michael Meeuwisse|
|Second reader:||has second reader::Chris Olivers|
To process stimuli in the world, the brain encodes various modalities of information within cortical maps. One of the open questions in cognitive science is how these different modalities are ‘bound’ for the perception of a single object. One of the current hypotheses is that this is done using synchronous activation across maps, but how this synchrony is established or maintained remains unknown. The current project will look at the possibilities for establishing synchrony across neurons by making the delays of individual synapses adaptable, using spike timing dependent plasticity as a modulator. As this synchrony needs to be established across several cortical maps, the project involves implementing an environment where such map interactions can be studied. The research question to answer is if such adaption can form as a functional basis for establishing synchrony, and if this can be used for neuronal competition. This second part of the question will in part be answered by implementation of a neuronal growth model, enabling neurons to include or exclude synapses depending on how well they can establish synchrony.