scholarly journals 1P231 Spatio-temporal dynamics of spontaneous activity in living neuronal network by femtosecond laser-induced cutting of neurites(15. Neuroscience & Sensory systems,Poster)

2013 ◽  
Vol 53 (supplement1-2) ◽  
pp. S144
Author(s):  
Hayato Kubo ◽  
Suguru N. Kudoh ◽  
Takahisa Taguchi ◽  
Chie Hosokawa
2018 ◽  
Author(s):  
Cristiano Capone ◽  
Guido Gigante ◽  
Paolo De Giudice

ABSTRACTInference methods are widely used to recover effective models from observed data. However, few studies attempted to investigate the dynamics of inferred models in neuroscience, and none, to our knowledge, at the network level. We introduce a principled modification of a widely used generalized linear model (GLM), and learn its structural and dynamic parameters from in-vitro spike data. The spontaneous activity of the new model captures prominent features of the non-stationary and non-linear dynamics displayed by the biological network, where the reference GLM largely fails, and also reflects fine-grained spatio-temporal dynamical features. Two ingredients were key for success. The first is a saturating transfer function: beyond its biological plausibility, it limits the neurons information transfer, improving robustness against endogenous and external noise. The second is a super-Poisson spikes generative mechanism; it accounts for the undersampling of the network, and allows the model neuron to flexibly incorporate the observed activity fluctuations.


Laser Physics ◽  
2009 ◽  
Vol 19 (6) ◽  
pp. 1300-1302 ◽  
Author(s):  
V. V. Bukin ◽  
S. V. Garnov ◽  
V. V. Strelkov ◽  
T. V. Shirokikh ◽  
D. K. Sychev

2018 ◽  
Vol 124 (8) ◽  
Author(s):  
Viktor Kadan ◽  
Svitlana Pavlova ◽  
Ihor Pavlov ◽  
Hossein Rezaei ◽  
Ömer Ilday ◽  
...  

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.


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