Effective benchmarking of high-density MEA spike-sorters

Localising and classifying neurons from high density MEA recordings

Neuronal microcircuits are formed of a myriad of spatially and functionally specific cell classes. Despite the importance of the spatial component in the characterisation of neural circuits, it has not received the attention it deserves. While multi-electrodes are widely used in the study of microcircuits, the spatial information available from them remains largely unexploited for analysis beyo...

Assessing New Techniques for Spike Detection on MEA Data

Spike detection and sorting on electrophysiological signals from MEA electrodes is demanding because noise levels are high, and many neurons may be simultaneously recorded by each electrode. In such data, there are always detection failures (false negatives and false positives). We present a new spike detection technique based on Cepstrum of Bispectrum (CoB) and assess it on real neural data. T...

Positivity of High Density Effective Theory

We show that the effective field theory of low energy modes in dense QCD has positive Euclidean path integral measure. The complexity of the measure of QCD at finite chemical potential can be ascribed to modes which are irrelevant to the dynamics at sufficiently high density. Rigorous inequalities follow at asymptotic density. Lattice simulation of dense QCD should be possible using the quark d...

Effective Benchmarking Strategies

Benchmarking High Density Image Matching for Oblique Airborne Imagery

Both, improvements in camera technology and new pixel-wise matching approaches triggered the further development of software tools for image based 3D reconstruction. Meanwhile research groups as well as commercial vendors provide photogrammetric software to generate dense, reliable and accurate 3D point clouds and Digital Surface Models (DSM) from highly overlapping aerial images. In order to e...