Synaptic mechanisms for motor variability in a feedforward network
| Autor: | Jian Jing, Wang-Ding Yuan, Ke Yu, Ting-Ting Chen, Fan Yang, Klaudiusz R. Weiss, Zhe Yang, Guo Zhang, Song-an Chen, Zi-Wei Le, Elizabeth C. Cropper, Ying-Yu Xue, Feng Liu, Shi-Qi Guo, Tao Wang |
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| Rok vydání: | 2020 |
| Předmět: |
Physics
0303 health sciences Multidisciplinary Interneuron biology Artificial neural network Feed forward SciAdv r-articles Neurophysiology biology.organism_classification Synaptic noise 03 medical and health sciences Noise 0302 clinical medicine medicine.anatomical_structure Rhythm Aplysia medicine Neuron Neuroscience Research Articles 030217 neurology & neurosurgery Research Article 030304 developmental biology |
| Zdroj: | Science Advances |
| ISSN: | 2375-2548 |
| DOI: | 10.1126/sciadv.aba4856 |
| Popis: | Two Aplysia command neurons drive motor programs with various levels of variability through synaptic noise and different strength. Behavioral variability often arises from variable activity in the behavior-generating neural network. The synaptic mechanisms underlying this variability are poorly understood. We show that synaptic noise, in conjunction with weak feedforward excitation, generates variable motor output in the Aplysia feeding system. A command-like neuron (CBI-10) triggers rhythmic motor programs more variable than programs triggered by CBI-2. CBI-10 weakly excites a pivotal pattern-generating interneuron (B34) strongly activated by CBI-2. The activation properties of B34 substantially account for the degree of program variability. CBI-10– and CBI-2–induced EPSPs in B34 vary in amplitude across trials, suggesting that there is synaptic noise. Computational studies show that synaptic noise is required for program variability. Further, at network state transition points when synaptic conductance is low, maximum program variability is promoted by moderate noise levels. Thus, synaptic strength and noise act together in a nonlinear manner to determine the degree of variability within a feedforward network. |
| Databáze: | OpenAIRE |
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