Alexander van Meegen
I am a PhD student in computational neuroscience in the Theoretical Neuroanatomy Group at INM-6, Research Centre Jülich, working with Moritz Helias and Sacha van Albada. My research focuses on the link between the single-neuron level and the collective dynamics of neural networks. I approach this problem along different lines of attack: I develop and employ methods from Dynamical Mean-Field Theory to gain analytical insights into the dynamics and I construct and simulate biologically constrained, large-scale models of cortical networks.
Conceptually, I aim to keep a tight balance between the overwhelming neurobiological complexity and the simplifications that are inherent in modeling. In particular, I try to neither create a “map of the empire that […] coincides with it point for point” (Abbott, 2008) nor examine oversimplified systems that neglect all of the relevant complexity. From a broader perspective, I hope to contribute to a shift in Neuroscience from a strongly Galisonian (method driven) culture towards a more Kuhnian (theory driven) approach (Dyson, 2012).