Bernstein Center for Computational Neuroscience Tübingen. Neural mechanisms of perceptual inference. Our perception is not simply a copy of the sensory stimuli we receive, but an abstract interpretation of the world. Complex processing mechanisms, which combine the information of the sensory stimuli with specific knowledge about the physical properties of the world, enable this interpretation. An impressive illustration for this are Magic Eye pictures.

The Werner Reichardt Centre for Integrative Neuroscience is the common platform of systems-oriented neuroscience at the University of Tübingen, and one of the biggest and most prolific centres of neuroscience in Europe. The CIN in a Nutshell. Material on Animal Research - Downloads.

I am Efstratios Gavves . Since Sep 2016 am an Assistant Professor at UVA. And the Scientific Manager of QUVA Lab. A joint effort between Qualcomm. My research lies on the intersection of Computer Vision and Deep Learning. My particular computer vision focus is on learning univeral spatiotemporal representations. Whereas my machine learning focus is on learning to learn.

I am a postdoctoral associate at Baylor college of medicine in the lab of Andreas Tolias. As part of the IARPA funded Baylor MICrONS. Team I am using neurophysiological experiments and machine learning to advance machine intelligence through brain research. Prior to that I was a postdoc in the lab of Jan Benda studying the electro-sensory system of weakly electric fish. I did my PhD with Matthias Bethge. My researcher ID is E-6708-2010. My ORCID ID is 0000-0002-1348-9736.

We seek to understand how populations of neurons collectively process sensory input, perform computations and control behaviour. To this end, we develop statistical models and machine learning algorithms for large-scale analysis of neural data, and collaborate with experimental laboratories performing measurements of neural activity and behaviour. Are choice probabilities explained by serial dependencies? Paper accepted to Journal of Neuroscience. Three papers accepted at NIPS.

This year, we had the first tutorial session for COSYNE. Everybody who gave me feedback was very happy with Jonathan Pillow. Below are just some notes for my future self. Interestingly, the synaptic connection from mSC to dPAG.

I am a neuroscientist and statistician and use machine learning and data analytics to identify cell types, circuits and computations in the healthy and diseased visual system. I work in the labs of Matthias Bethge. At the University of Tübingen and collaborate closely with Andreas Tolias. At Baylor College of Medicine. Page for my current projects and interests. Code for spike inference available.

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