Automated analysis of sleep control via a single neuron active at sleep onset in C. elegans.

Longitudinal analyses are crucial for understanding long-term processes such as development and behavioral rhythms. For a complete understanding of such processes, both organism-level observations as well as single-cell observations are necessary. Sleep is an example for a long-term process that is under developmental control. This behavioral state is induced by conserved sleep-active neurons, but little is known about how sleep neurons control the physiology of an animal systemically. In the nematode C. elegans, sleep induction crucially requires the single RIS interneuron to actively induce a developmentally regulated sleep behavior. Here, we used RIS-induced sleep as an example of how longitudinal analyses can be automated. We developed methods to analyze both behavior and neural activity in larva across the sleep-wake cycle. To image behavior, we used an improved DIC contrast to extract the head and detect the nose. To image neural activity, we used GCaMP3 expression in a small number of neurons including RIS combined with a neuron discrimination algorithm. Thus, we present a comprehensive platform for automatically analyzing behavior and neural activity in C. elegans exemplified by using RIS-induced sleep during C. elegans development. This article is protected by copyright. All rights reserved

When less is more: Non-monotonic spike sequence processing in neurons

Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons communicate via exchanging action potentials (spikes) at discrete times. Here, we systematically analyze the stationary spiking response to regular spiking inputs and reveal that it is generically non-monotonic. Our theoretical analysis shows that the underlying mechanism relies solely on a combination of the discrete nature of the communication by spikes, the capability of locking output to input spikes and limited resources required for spike processing. Numerical simulations of mathematically idealized and biophysically detailed models, as well as neurophysiological experiments confirm and illustrate our theoretical predictions

Correction: High-risk additional chromosomal abnormalities at low blast counts herald death by CML (Leukemia, (2020), 34, 8, (2074-2086), 10.1038/s41375-020-0826-9)

An amendment to this paper has been published and can be accessed via a link at the top of the paper