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20112026
most citedHow deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks

61 citations · 148 across the 34 of their papers we have counts for

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Showing q-bio.QMShow all

13 papers · 1 filter

q-bio.QM2023★ 1 cited

Extracting continuous sleep depth from EEG data without machine learning

Claus Metzner, Achim Schilling, Maximilian Traxdorf +3

The human sleep-cycle has been divided into discrete sleep stages that can be recognized in electroencephalographic (EEG) and other bio-signals by trained specialists or machine le…

q-bio.QM2020

Detecting long-range interactions between migrating cells

Claus Metzner, Franziska Hörsch, Christoph Mark +4

Chemotaxis enables cells to systematically approach distant targets that emit a diffusible guiding substance. However, the visual observation of an encounter between a cell and a t…

q-bio.QM2019★ 2 cited

Inferring long-range interactions between immune and tumor cells -- pitfalls and (partial) solutions

Claus Metzner

Upcoming immunotherapies for cancer treatment rely on the ability of the immune system to detect and eliminate tumors in the body. A highly simplified version of this process can b…

q-bio.QM2019★ 1 cited

Detecting long-range attraction between migrating cells based on p-value distributions

Claus Metzner

Immune cells have evolved to recognize and eliminate pathogens, and the efficiency of this process can be measured in a Petri dish. Yet, even if the cells are time-lapse recorded a…

q-bio.QM2018★ 30 cited

Objective estimation of sensory thresholds based on neurophysiological parameters

Achim Schilling, Richard Gerum, Patrick Krauss +3

Reliable determination of sensory thresholds is the holy grail of signal detection theory. However, there exists no gold standard for the estimation of thresholds based on neurophy…

q-bio.QM2016★ 1 cited

A statistical method for analyzing and comparing spatiotemporal cortical activation patterns

Patrick Krauss, Claus Metzner, Achim Schilling +3

We present a new statistical method to analyze multichannel steady-state local field potentials (LFP) recorded within different sensory cortices of different rodent species. Our sp…