Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

2013 ◽  
Vol 47 ◽  
pp. 51-63 ◽  
Author(s):  
Miho Onizuka ◽  
Huu Hoang ◽  
Mitsuo Kawato ◽  
Isao T. Tokuda ◽  
Nicolas Schweighofer ◽  
...  
2013 ◽  
Vol 47 ◽  
pp. 42-50 ◽  
Author(s):  
Isao T. Tokuda ◽  
Huu Hoang ◽  
Nicolas Schweighofer ◽  
Mitsuo Kawato

Neuron ◽  
2009 ◽  
Vol 62 (3) ◽  
pp. 388-399 ◽  
Author(s):  
Alexandre Mathy ◽  
Sara S.N. Ho ◽  
Jenny T. Davie ◽  
Ian C. Duguid ◽  
Beverley A. Clark ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Muhannad Almutiry ◽  
Lorenzo Lo Monte ◽  
Michael C. Wicks

We proposed an improved solution to two problems. The first problem is caused by the sidelobe of the dominant scatterer masking a weak scatterer. The proposed solution is to suppress the dominant scatterer by modeling its electromagnetic effects as a secondary source or “extra dependent transmitter” in the measurement domain. The suppression of the domain scatterer reveals the presence of the weak scatterer based on exploitation of multipath effects. The second problem is linearizing the mathematical forward model in the measurement domain. Improving the quantity of the prediction, including multipath scattering effects (neglected under the Born approximation), allows us to solve the inverse problem. The multiple bounce (multipath) scattering effect is the interaction of more than one target in the scene. Modeling reflections from one target towards another as a transmitting dipole will add the multiple scattering effects to the scattering field and permit us to solve a linear inverse problem without sophisticated solutions of a nonlinear matrix in the forward model. Simulation results are presented to validate the concept.


2011 ◽  
Vol 65 (3) ◽  
pp. 465-491 ◽  
Author(s):  
Keum W. Lee ◽  
Sahjendra N. Singh

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