Playing the electric light orchestra--how electrical stimulation of visual cortex elucidates the neural basis of perception.

Playing the electric light orchestra--how electrical stimulation of visual cortex elucidates the neural basis of perception.
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演奏电灯管弦乐队 - 视觉皮层的电刺激阐明了感知的神经基础。

DOI:
10.1098/rstb.2014.0206
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发表时间:
2015-09-19
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
通讯作者:
Krug K
Krug K
中科院分区:
其他
文献类型:
--
作者:
Cicmil N;Krug K

文献摘要

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视觉研究有可能揭示感官体验的基本机制。因果实验方法,如电微刺激,提供了一个独特的机会来测试视觉皮层神经元的感知和行为的直接贡献。但是,尽管因果关系方法很重要,但迄今为止,在研究视觉皮层的实验中,因果关系方法只占少数。我们重新考虑的功能和组织的视觉皮层根据刺激技术获得的结果,特别强调电刺激的小团体的细胞在清醒的科目谁可以报告他们的视觉体验。我们比较了人类和猴子的研究结果,纹状和纹外皮质,表层和深层皮质层,并确定了一些揭示视觉皮层的“因果图”的差距。整合不同方法和物种的结果,我们提供了一个关键的概述因果关系的方法已被用来进一步了解电路,可塑性和信息整合在视觉皮层的方式。电刺激不仅阐明了不同视觉区域对感知的贡献,而且有助于我们理解记忆,注意力和决策的神经机制。
Vision research has the potential to reveal fundamental mechanisms underlying sensory experience. Causal experimental approaches, such as electrical microstimulation, provide a unique opportunity to test the direct contributions of visual cortical neurons to perception and behaviour. But in spite of their importance, causal methods constitute a minority of the experiments used to investigate the visual cortex to date. We reconsider the function and organization of visual cortex according to results obtained from stimulation techniques, with a special emphasis on electrical stimulation of small groups of cells in awake subjects who can report their visual experience. We compare findings from humans and monkeys, striate and extrastriate cortex, and superficial versus deep cortical layers, and identify a number of revealing gaps in the ‘causal map′ of visual cortex. Integrating results from different methods and species, we provide a critical overview of the ways in which causal approaches have been used to further our understanding of circuitry, plasticity and information integration in visual cortex. Electrical stimulation not only elucidates the contributions of different visual areas to perception, but also contributes to our understanding of neuronal mechanisms underlying memory, attention and decision-making.