scholarly journals The relation between input-output transformation and gastrointestinal nematode infections on dairy farms

animal ◽  
2016 ◽  
Vol 10 (2) ◽  
pp. 274-282 ◽  
Author(s):  
M. van der Voort ◽  
J. Van Meensel ◽  
L. Lauwers ◽  
G. Van Huylenbroeck ◽  
J. Charlier
eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Ádám Magó ◽  
Noémi Kis ◽  
Balázs Lükő ◽  
Judit K Makara

Proper integration of different inputs targeting the dendritic tree of CA3 pyramidal cells (CA3PCs) is critical for associative learning and recall. Dendritic Ca2+ spikes have been proposed to perform associative computations in other PC types by detecting conjunctive activation of different afferent input pathways, initiating afterdepolarization (ADP), and triggering burst firing. Implementation of such operations fundamentally depends on the actual biophysical properties of dendritic Ca2+ spikes; yet little is known about these properties in dendrites of CA3PCs. Using dendritic patch-clamp recordings and two-photon Ca2+ imaging in acute slices from male rats, we report that, unlike CA1PCs, distal apical trunk dendrites of CA3PCs exhibit distinct forms of dendritic Ca2+ spikes. Besides ADP-type global Ca2+ spikes, a majority of dendrites expresses a novel, fast Ca2+ spike type that is initiated locally without bAPs, can recruit additional Na+ currents, and is compartmentalized to the activated dendritic subtree. Occurrence of the different Ca2+ spike types correlates with dendritic structure, indicating morpho-functional heterogeneity among CA3PCs. Importantly, ADPs and dendritically initiated spikes produce opposing somatic output: bursts versus strictly single-action potentials, respectively. The uncovered variability of dendritic Ca2+ spikes may underlie heterogeneous input-output transformation and bursting properties of CA3PCs, and might specifically contribute to key associative and non-associative computations performed by the CA3 network.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Sebastian Różowicz ◽  
Andrzej Zawadzki

This paper addresses the problem of nonlinear electrical circuit input-output linearization. The transformation algorithms for linearization of nonlinear system through changing coordinates (local diffeomorphism) with the use of closed feedback loop together with the conditions necessary for linearization are presented. The linearization stages and the results of numerical simulations are discussed.


2014 ◽  
Vol 97 (6) ◽  
pp. 3498-3508 ◽  
Author(s):  
Mariska van der Voort ◽  
Jef Van Meensel ◽  
Ludwig Lauwers ◽  
Jozef Vercruysse ◽  
Guido Van Huylenbroeck ◽  
...  

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