# gst: the hypothesis to optimize multiplicative noise to enhance a signal-to-noise ratio

AA << study simple integrate-and-fire type models with multiplicative noise and consider the transmission of a weak and slow signal, >>

<< The specific question of interest is whether and how the state-dependence of the noise can be optimized with respect to information transmission >>

<< also in a biophysically more relevant situation, multiplicative noise can enhance the signal-to-noise ratio (..) results shed light on a so far unexplored aspect of stochastic signal transmission in neural systems. >>

Jonathan Bauermann Benjamin Lindner. Multiplicative noise is beneficial for the transmission of sensory signals in simple neuron models. Biosystems. Volume 178, Apr 2019, Pages 25-31. doi: 10.1016/ j.biosystems.2019.02.002

https://www.sciencedirect.com/science/article/pii/S0303264718303861

# gst: active drops: from steady to chaotic self-propulsion

<< Individual chemically active drops suspended in a surfactant solution were observed to self-propel spontaneously with straight, helical, or chaotic trajectories. (..) strong advection (e.g., large droplet size) may destabilize a steadily self-propelling drop; once destabilized, the droplet spontaneously stops and a symmetric extensile flow emerges. If advection is strengthened even further in comparison with molecular diffusion, the droplet may perform chaotic oscillations. >>

Matvey Morozov, Sebastien Michelin. Nonlinear dynamics of a chemically-active drop: From steady to chaotic self-propulsion. J. Chem. Phys. 150, 044110 (2019). doi: 10.1063/1.5080539. Jan 31, 2019.  https://aip.scitation.org/doi/10.1063/1.5080539

# evol: when the dinosaurs died, lichens thrived ...

AA << results imply that multiple historical events during the transition from Mesozoic to Cenozoic eras, including the K-Pg mass extinction event, impacted the evolutionary dynamics in lichen-forming fungi. >>

Jen-Pan Huang, Ekaphan Kraichak, et al.   Accelerated diversifications in three diverse families of morphologically complex lichen-forming fungi link to major historical events. Scientific Reports.  volume 9, Article number: 8518 (2019).   https://www.nature.com/articles/s41598-019-44881-1  

<< We thought that lichens would be affected negatively, but in the three groups we looked at, they seized the chance and diversified rapidly, (..) Some lichens grow sophisticated 3D structures like plant leaves, and these ones filled the niches of plants that died out. >> Jen-Pang Huang.

When the dinosaurs died, lichens thrived. Mass extinction hurt land plants, but DNA shows that some fungus/plant combo organisms rose up. Field Museum, Academia Sinica, Taipei.  - ScienceDaily. Jun 28, 2019.   https://www.sciencedaily.com/releases/2019/06/190628120432.htm

K-Pg mass extinction event   https://en.m.wikipedia.org/wiki/Cretaceous%E2%80%93Paleogene_extinction_event

# gst: tracking tiny particles

<< Kymographs are graphical representations of spatial position over time, which are often used in biology to visualise the motion of fluorescent particles, molecules, vesicles, or organelles moving along a predictable path. >>

AA << developed KymoButler, a Deep Learning-based software to automatically track dynamic processes in kymographs. (They) demonstrate that KymoButler performs as well as expert manual data analysis on kymographs with complex particle trajectories from a variety of different biological systems. >>

Maximilian AH Jakobs, Andrea Dimitracopoulos, Kristian Franze.  KymoButler, a deep learning software for automated kymograph analysis.
eLife. doi: 10.7554/eLife.42288.  Aug 13, 2019.  https://elifesciences.org/articles/42288

<< We hope our tool will prove useful for others involved in analysing small particle movements, whichever field they may work in, >> Kristian Franze

Machine learning tool improves tracking of tiny moving particles. eLife. Aug 13, 2019.   https://m.techxplore.com/news/2019-08-machine-tool-tracking-tiny-particles.html 

# game: inject irrationality into a game scenario; when a player will be their own worst enemy

<< in game theory, a game is defined as any type of scenario where there's an interaction between different decision-makers, or players, each of whom has well-defined preferences. >>

<< previous analyses assume the decision-makers always do what is best for them-they are fully rational-which is not always realistic. >>

<< So SFI Professor David Wolpert and economist Justin Grana, a former SFI postdoctoral scholar, wanted to inject some humanity into the players. They analyzed games with players who were subject to error, or "boundedly rational." >>

<< Our analysis shows that in many of these situations, a player will be their own worst enemy; >> David Wolpert.

Jenna Marshall. How much would you pay to change a game before playing it? Santa Fe Institute. Aug13, 2019.    https://m.phys.org/news/2019-08-game.html  

David Wolpert, Justin Grana. How Much Would You Pay to Change a Game before Playing It? Entropy 2019, 21, 686. doi: 10.3390/ e21070686. July 13, 2019.   https://www.mdpi.com/1099-4300/21/7/686  

# gst: early seismic waves could allow to glimpse the power of the main temblor

AA << explore databases of earthquake source time functions and find that they are composed of distinct peaks that (..) call subevents (..) the main event magnitude can be estimated after observing only the first few subevents. >>

Philippe Danre, Jiuxun Yin, et al. Earthquakes Within Earthquakes: Patterns in Rupture Complexity. Geophysical Research Letters. Volume 46, Issue 13. doi: 10.1029/ 2019GL083093. Jun 25, 2019.   https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL083093

Anna Fiorentino. Early seismic waves hold the clue to the power of the main temblor. Harvard University. Aug 8, 2019.  https://m.phys.org/news/2019-08-early-seismic-clue-power-main.html  

# gst: an approach to delay solitary states within complex networks

AA << present a technique to engineer solitary states by means of delayed links in a network of neural oscillators and in coupled chaotic maps. Solitary states are intriguing partial synchronization patterns, where a synchronized cluster coexists with solitary nodes displaced from this cluster and distributed randomly over the network. >>

<< It is shown that the extent of displacement and the position of solitary elements can be completely controlled by the choice (values) and positions (locations) of the incorporated delays, reshaping the delay engineered solitary states in the network. >>

Leonhard Schulen, Saptarshi Ghosh, et al. Delay engineered solitary states in complex networks. arXiv:1908.01295v1 [nlin.AO] Aug 4, 2019.

https://arxiv.org/abs/1908.01295