scholarly journals Analysis and modeling of ensemble recordings from respiratory pre-motor neurons indicate changes in functional network architecture after acute hypoxia

Author(s):  
Roberto F. Galán
2021 ◽  
Author(s):  
Tiago Guardia ◽  
Linda Geerligs ◽  
Kamen A. Tsvetanov ◽  
Rong Ye ◽  
Karen L. Campbell

2019 ◽  
Vol 225 (1) ◽  
pp. 33-43
Author(s):  
Markus Muehlhan ◽  
Robert Miller ◽  
Jens Strehle ◽  
Michael N. Smolka ◽  
Nina Alexander

Polymers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1271 ◽  
Author(s):  
Saeedi ◽  
Andritsch ◽  
Vaughan

A range of modified amine- and anhydride-cured epoxy systems based upon diglycidyl ether of bisphenol A was produced, through the systematic incorporation of moieties termed functional network modifiers (FNMs) that serve to change the network structure in controlled ways. Here, the chosen FNM was trimethylolpropane triglycidyl ether (TTE). The resulting materials were characterized by Fourier transform infrared spectroscopy, thermal analysis, dielectric spectroscopy and measurements of direct current conduction. A progressive reduction in the glass transition temperature of the modified samples was seen with increasing TTE, which is interpreted in terms of changes in the network architecture of the resin. The molecular origins of the dielectric and relaxation processes are proposed. The observed increase in conduction seen exclusively with increasing TTE content in the amine-cured systems is considered in terms of the chemistry of the FNMs, variations in free volume, changes in molecular dynamics and residual unreacted groups retained from the curing reaction. Specifically, we relate the observed increase in conduction to the presence of unreacted amine groups.


NeuroImage ◽  
2016 ◽  
Vol 132 ◽  
pp. 542-555 ◽  
Author(s):  
Yangwen Xu ◽  
Qixiang Lin ◽  
Zaizhu Han ◽  
Yong He ◽  
Yanchao Bi

2013 ◽  
Vol 125 (2) ◽  
pp. 231-243 ◽  
Author(s):  
Alecia C. Vogel ◽  
Jessica A. Church ◽  
Jonathan D. Power ◽  
Fran M. Miezin ◽  
Steven E. Petersen ◽  
...  

Author(s):  
Mohini Sengupta ◽  
Vamsi Daliparthi ◽  
Yann Roussel ◽  
Tuan Vu Bui ◽  
Martha W. Bagnall

AbstractRostro-caudal coordination of spinal motor output is essential for locomotion. Most spinal interneurons project axons longitudinally to govern locomotor output, yet their connectivity along this axis remains unclear. In this study, we use larval zebrafish to map synaptic outputs of a major inhibitory population, V1 (Eng1+) neurons, which are implicated in dual sensory and motor functions. We find that V1 neurons exhibit long axons extending rostrally and exclusively ipsilaterally for an average of 6 spinal segments; however, they do not connect uniformly with their post-synaptic targets along the entire length of their axon. Locally, V1 neurons inhibit motor neurons (both fast and slow) and other premotor targets including V2a, V2b and commissural pre-motor neurons. In contrast, V1 neurons make robust inhibitory contacts throughout the rostral extent of their axonal projections onto a dorsal horn sensory population, the Commissural Primary Ascending neurons (CoPAs). In a computational model of the ipsilateral spinal network, we show that this pattern of short range V1 inhibition to motor and premotor neurons is crucial for coordinated rostro-caudal propagation of the locomotor wave. We conclude that spinal network architecture in the longitudinal axis can vary dramatically, with differentially targeted local and distal connections, yielding important consequences for function.


1994 ◽  
Vol 05 (03) ◽  
pp. 181-194 ◽  
Author(s):  
BO CARTLING

A recent neural network model of cortical associative memory incorporating neuronal adaptation by a simplified description of its underlying ionic mechanisms is extended towards more realistic network units and architecture. Excitatory units correspond to groups of adapting pyramidal neurons and inhibitory units to groups of nonadapting interneurons. The network architecture is formed from pairs of one pyramidal and one interneuron unit each with inhibitory connections within and excitatory connections between pairs. The degree of adaptability of the pyramidal units controls the character of the network dynamics. An intermediate adaptability generates limit cycles of transitions between stored patterns and regulates oscillation frequencies in the range of theta rhythms observed in the brain. In particular, neuronal adaptation can impose a direction of transitions between overlapping patterns also in a symmetrically connected network. The model permits a detailed analysis of the transition mechanisms. Temporal sequences of patterns thus formed may constitute parts of associative processes, such as recall of stored sequences or search of pattern subspaces. As a special case, neuronal adaptation can accomplish pattern segmentation by which overlapping patterns are temporally resolved. The type of limit cycles produced by neuronal adaptation may also be of significance for central pattern generators, also for networks involving motor neurons. The applied learning rule of Hebbian type is compared to a modified version also common in neural network modelling. It is also shown that the dependence of the network dynamic behaviour on neuronal adaptability, from fixed point attractors at weak adaptability towards more complex dynamics of limit cycles and chaos at strong adaptability, agrees with that recently observed in a more abstract version of the model. The present description of neuronal adaptation is compared to models based on dynamic firing thresholds.


Author(s):  
Yu-Chen Chen ◽  
Yuan Feng ◽  
Jin-Jing Xu ◽  
Cun-Nan Mao ◽  
Wenqing Xia ◽  
...  

2010 ◽  
Vol 20 (4) ◽  
pp. 362-375 ◽  
Author(s):  
Alecia C. Vogel ◽  
Jonathan D. Power ◽  
Steven E. Petersen ◽  
Bradley L. Schlaggar

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