Spatio-temporal parameters for optical probing of neuronal activity

被引:0
|
作者
Vincent R. Daria
Michael Lawrence Castañares
Hans-A. Bachor
机构
[1] The Australian National University,Research School of Physics
[2] The Australian National University,John Curtin School of Medical Research
来源
Biophysical Reviews | 2021年 / 13卷
关键词
Neuronal circuits; Neuronal activity; Calcium Imaging; Voltage Imaging; Microscopy; Multi-photon microscopy;
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学科分类号
摘要
The challenge to understand the complex neuronal circuit functions in the mammalian brain has brought about a revolution in light-based neurotechnologies and optogenetic tools. However, while recent seminal works have shown excellent insights on the processing of basic functions such as sensory perception, memory, and navigation, understanding more complex brain functions is still unattainable with current technologies. We are just scratching the surface, both literally and figuratively. Yet, the path towards fully understanding the brain is not totally uncertain. Recent rapid technological advancements have allowed us to analyze the processing of signals within dendritic arborizations of single neurons and within neuronal circuits. Understanding the circuit dynamics in the brain requires a good appreciation of the spatial and temporal properties of neuronal activity. Here, we assess the spatio-temporal parameters of neuronal responses and match them with suitable light-based neurotechnologies as well as photochemical and optogenetic tools. We focus on the spatial range that includes dendrites and certain brain regions (e.g., cortex and hippocampus) that constitute neuronal circuits. We also review some temporal characteristics of some proteins and ion channels responsible for certain neuronal functions. With the aid of the photochemical and optogenetic markers, we can use light to visualize the circuit dynamics of a functioning brain. The challenge to understand how the brain works continue to excite scientists as research questions begin to link macroscopic and microscopic units of brain circuits.
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页码:13 / 33
页数:20
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