Hi, welcome to my personal homepage. I am a senior research scientist in the UNIC. Where I lead the Neuroinformatics group. You might also be interested in my lab homepage. My ORCID identifier is 0000-0002-4793-7541. My main research interests are in large-scale, data-constrained, biologically-detailed modelling of neuronal networks. For more information, see the links under.

Are man-made machines that are just as intelligent, creative, and self-aware as humans. No such machine has yet been built, but it is only a matter of time. This website tracks the latest scientific and technological progress. SpiNNaker is a massively-parallel neuromorphic computing architecture designed to model large, biologically plausible, spiking neural networks. Analog processor, 400 transistors. OpenWorm is an attempt to build a complete cellular-leve.

My homepage about neuroscience and stuff. I am a computational neuroscientist. Data scientist and committed Pythonista. I hold a PhD degree in theoretical biophysics from Humboldt University of Berlin. I am currently doing a PostDoc in the Computational Neuroscience group headed by Prof. Unité de Neurosciences, Information et Complexité.

Welcome to the INCF Software Center. A resource that makes it easy for neuroscientists. To find, use and share software tools. MeshGen - Surface meshes from volumetric segmentation data. CutNII - Custom-angle slicer for brain atlas volumes. Waxholm Space atlas of the Sprague Dawley rat brain. Enter a free text query.

To make predictions or models of in vivo data, one need large-scale simulations of spiking neuronal network mimicking the emerging properties at the network level. Neurons are modifying the synapses between them as a function of their joint activities. Understanding the molecular processes and the computational consequences of such plasticity is crucial to unravel how the brain can adapt. Spike sorting in real time.