scholarly journals High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor

2014 ◽  
Vol 17 (6) ◽  
pp. 884-889 ◽  
Author(s):  
François St-Pierre ◽  
Jesse D Marshall ◽  
Ying Yang ◽  
Yiyang Gong ◽  
Mark J Schnitzer ◽  
...  
NeuroImage ◽  
2016 ◽  
Vol 125 ◽  
pp. 533-543 ◽  
Author(s):  
Yuhui Chai ◽  
Guoqiang Bi ◽  
Liping Wang ◽  
Fuqiang Xu ◽  
Ruiqi Wu ◽  
...  

2019 ◽  
Vol 29 (01) ◽  
pp. 1950005 ◽  
Author(s):  
Rong Wang ◽  
Peihua Feng ◽  
Yongchen Fan ◽  
Ying Wu

Spontaneous electromagnetic induction originating from neuronal electrical activity is believed to reflect the memory ability in the neural system and significantly modulates neural information transmission, but its fundamental effect on the neuronal dynamic properties is still not well understood. In this paper, we use a memristor to couple neuronal electrical activity and magnetic fields and study how the spontaneous electromagnetic induction modulates the neuronal dynamical response to external stimulation. It is found that the negative feedback of electromagnetic induction on the neuron significantly reduces the dynamical response range, decreases the oscillation amplitude and induces a higher firing frequency. Meanwhile, the memory effect on electromagnetic induction can induce two kinds of bistability, including the coexistence of a stable limit cycle and a fixed point, and the coexistence of two stable limit cycles. Furthermore, high electric driving for electromagnetic induction produces complex firing patterns with single, double and multiple frequencies. Our results not only further confirm the efficacy of spontaneous electromagnetic induction in modulating the neuronal dynamical properties but also provide insights into the possibilities of choosing suitable parameter spaces in studying the effects of external magnetic induction on brain functions.


Metabolomics ◽  
2018 ◽  
Vol 14 (10) ◽  
Author(s):  
M. Renate Buijink ◽  
Michel van Weeghel ◽  
M. Can Gülersönmez ◽  
Amy C. Harms ◽  
Jos H. T. Rohling ◽  
...  

2006 ◽  
Vol 103 (43) ◽  
pp. 16015-16020 ◽  
Author(s):  
N. Petridou ◽  
D. Plenz ◽  
A. C. Silva ◽  
M. Loew ◽  
J. Bodurka ◽  
...  

2016 ◽  
Vol 12 (23) ◽  
pp. 93-106 ◽  
Author(s):  
Jose A. Díaz M. ◽  
Oscar Téquita ◽  
Fernando Naranjo

We simulated the neuronal electrical activity using the Hodgkin-Huxleymodel (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing thres hold and refractory period.The purpose of the manuscript is show a method to syncronize a RCL-shunted Josephson junction to a neuronal dynamics represented by the HH model. Thus the RCLSJ circuit is able to mimics the behavior of the HH neuron. We controlated the RCLSJ circuit, using and improved adaptative track scheme, that with the improved Lyapunov functions and thetwo controllable gain coefficients allowing synchronization of two neuronal models. Results will provide the path to follow forward the understanding neuronal networks synchronization about, generating the intrinsic brain behavior.


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