tuning function
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2021 ◽  
Vol 15 ◽  
Author(s):  
Yu-Po Cheng ◽  
Jian-Jia Huang ◽  
Chun-I Yeh ◽  
Yu-Cheng Pei

Paired stimulation has been applied to modulate neuronal functions in the primary somatosensory cortex but its utility in the alternation of tuning function, such as direction tuning for whisker stimuli, remains unclear. In the present study, we attempted to manipulate feature preferences in barrel cortical neurons using repetitive paired whisker deflection combined with optogenetic stimulation and to obtain optimal parameters that can induce neuroplasticity. We found no significant response changes across stimulus parameters, such as onset asynchronies and paired directions. Only when paired stimulation was applied in the nonpreferred direction of the principal whisker of a neuron, were the neuron’s responses enhanced in that direction. Importantly, this effect was only observed when the optogenetic stimulus preceded the mechanical stimulus. Our findings indicate that repetitive paired optogenetic-mechanical stimulation can induce in vivo neuroplasticity of feature selectivity in limited situations.


Author(s):  
Hinsermu A. Garbaabaa ◽  
Million G. Geda ◽  
Minyamer G. Wase ◽  
Selvarasu Ranganathan ◽  
Gang-Gyoo Jin ◽  
...  

Owing to the time-varying characteristics and nonlinearities of industrial processes, control has higher difficulties and results in challenges for advanced technology. In this paper, a self-tuning controller that includes a nonlinear proportional-integral-derivative (NPID) control function as well as a self-tuning function is proposed for first-order plus time delay (FOPTD) process control. The NPID control function is implemented using the nonlinear PID controller whose optimum parameters are adapted by a neural network (NN). The self-tuning function is able to identify the process dynamics using a short period of process behavior and tune NPID parameters based on the identified parameters. The advantage of the proposed method is validated with a set of simulation works on three processes and the comparison results are presented.


2019 ◽  
Vol 13 ◽  
Author(s):  
Kahori Kita ◽  
Rieko Osu ◽  
Chihiro Hosoda ◽  
Manabu Honda ◽  
Takashi Hanakawa ◽  
...  

2019 ◽  
Vol 13 ◽  
Author(s):  
Yu-Fang Yang ◽  
Joan Liu-Shuang ◽  
Bruno Rossion ◽  
Valerie Goffaux

2018 ◽  
Vol 2018 (0) ◽  
pp. 233
Author(s):  
Yoshimasa NISHIYAMA ◽  
Syota YAMANO ◽  
Tomoyasu TAKAOKA ◽  
Hideaki NISHIHARA
Keyword(s):  

Automatica ◽  
2018 ◽  
Vol 87 ◽  
pp. 365-374 ◽  
Author(s):  
Guanyu Lai ◽  
Changyun Wen ◽  
Zhi Liu ◽  
Yun Zhang ◽  
C.L. Philip Chen ◽  
...  

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