Time to celebrate the first paper of the year! Reliable clustering across diverse data sets can be challenging. With this paper we want to offer an algorithm that operates using human-understandable metrics and performs on par with deep nets (or outperforms them in some cases).

doi.org/10.1038/s41598-022-270

#introduction

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I am a neuroscientist interested in the circuit dynamics of adaptive but reliable visually guided behavior.

In our group at the U Bonn, we study

- the stabilization of the neural code in visual perception, learning, and memory

- the pathway-specific processing of sensory and self-motion signals

We emphasize ethologically relevant behavior, longitudinal synapse- and circuit-level optophysiology, and miniaturized and bench-top two-photon microscopy.

www.troselab.de

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Our new @biorxiv preprint@qoto.org @biorx iv_neursci@beta.birdsite.live by the tweeters @EnrRodSeb & @Julio_EI is out! Ever wonder how to quantify representational structure over neural manifolds in high- and low-dim spaces? The structure index #SI is a graph-based metric applicable to any arbitrary space. biorxiv.org/content/10.1101/20

We are hunting for experimental reports of protein diffusion coefficients in dendrites to be used in our models. We have found ~20, but more would be better. If you have any leads let me know.

#introduction I am a neuroscientist interested in how sensory pathways shape motor behavior and adaptation. I use mouse genetic approaches to dissect how sensory and motor circuits interface in the spinal cord for the fluid execution of innate and goal-oriented tasks. Started my research group last year at the University of Cologne. Occasional posts about food item below Italian standards, e.g. pizza Hawaii.

. I'm a theoretical neuroscientist at U Mainz Medical Center and co-affiliated with U Bonn Medical center. Primary focus on cortical circuits, their network activity, synaptic plasticity and protein dynamics in dendrites. Broadly interested how circuits learn e.g. neuro/AI interface and want to understand how neural networks compute, both algorithmically and intracellularly. Occational posts about societal and academic issues.

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