Department of Neurobiology, 299 W. Campus Drive, Stanford University, Stanford, CA 94305, USA.
Neuron. 2013 May 22;78(4):583-95. doi: 10.1016/j.neuron.2013.05.006.
One central goal of systems neuroscience is to understand how neural circuits implement the computations that link sensory inputs to behavior. Work combining electrophysiological and imaging-based approaches to measure neural activity with pharmacological and electrophysiological manipulations has provided fundamental insights. More recently, genetic approaches have been used to monitor and manipulate neural activity, opening up new experimental opportunities and challenges. Here, we discuss issues associated with applying genetic approaches to circuit dissection in sensorimotor transformations, outlining important considerations for experimental design and considering how modeling can complement experimental approaches.
系统神经科学的一个核心目标是了解神经回路如何实现将感觉输入与行为联系起来的计算。将测量神经活动的电生理学和基于成像的方法与药理学和电生理学操作相结合的工作提供了基本的见解。最近，遗传方法已被用于监测和操纵神经活动，为实验提供了新的机会和挑战。在这里，我们讨论了将遗传方法应用于感觉运动转化中的电路剖析的相关问题，概述了实验设计的重要考虑因素，并考虑了模型如何补充实验方法。
