I work for the G-Node (GitHub/G-Node) at the Ludwig Maximilian University of Munich.
Brief descriptions of all G-Node projects can be found on the G-Node projects page.
My work mostly consists of maintaining and developing new features for NIXPy and writing a command line client for the GIN services.
I also wrote and maintain the NIX IO for the Neo project.
I hold a PhD in Computer Science from the University of Cyprus. My research area is Computational Neuroscience and specifically Neural Coding. My doctoral thesis, titled Understanding the neural code through exploration of the causes of firing is available from the UCy Library archive (PDF).
My background is in Computer Science (BSc) and Intelligent Systems (MSc). I obtained both degrees from the School of Computer Science of the University of Birmingham.
2016. Koutsou, A., Kanev, J., Economidou, M., and Christodoulou C. Integrator or Coincidence Detector — What shapes the relation of stimulus synchrony and the operational mode of a neuron? Mathematical Biosciences and Engineering, 13(3), 521-535. doi:10.3934/mbe.2016005
2015. Koutsou, A., Bugmann G., and Christodoulou C. On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. Biosystems, 136, 80-89. doi:10.1016/j.biosystems.2015.08.005
2013. Koutsou, A., Kanev, J., and Christodoulou C. Measuring input synchrony in the Ornstein-Uhlenbeck neuronal model through input parameter estimation. Brain Research, 1536, 97-106. doi:10.1016/j.brainres.2013.05.012
2012. Koutsou, A., Christodoulou, C., Bugmann, G. and Kanev, J. Distinguishing the Causes of Firing with the Membrane Potential Slope. Neural Computation, 24 (9), 2318-2345. doi:10.1162/NECO_a_00323
2009. Koutsou, A. and He, S. Study of ants’ traffic organisation under crowded conditions using individual-based modelling and evolutionary computation. Proceedings of IEEE Congress on Evolutionary Computation 2009 (CEC ‘09), 3330-3337. doi:10.1109/CEC.2009.4983367
Most of the code I have written for my research and publications can be found on my GitHub page. The code is separated into multiple repositories, all of which are organised as submodules of a general research repository.
Spikerlib is a Python (2.x) library of tools and functions for spiketrain analysis. Some features of the library depend on the Brian simulator (ver. 1x).
This library is outdated and it is never worked on. Any issues or incompatibilities will likely never be resolved.