光遗传学
神经科学
生物神经网络
黑腹果蝇
联想学习
动物行为
计算机科学
求爱
连接体
果蝇属(亚属)
心理学
生物
功能连接
基因
动物
古生物学
生物化学
出处
期刊:Learning & Memory
[Cold Spring Harbor Laboratory]
日期:2022-03-24
卷期号:29 (4): 100-109
标识
DOI:10.1101/lm.053556.121
摘要
Neural network dynamics underlying flexible animal behaviors remain elusive. The fruit fly Drosophila melanogaster is considered an excellent model in behavioral neuroscience because of its simple neuroanatomical architecture and the availability of various genetic methods. Moreover, Drosophila larvae's transparent body allows investigators to use optical methods on freely moving animals, broadening research directions. Activating or inhibiting well-defined events in excitable cells with a fine temporal resolution using optogenetics and thermogenetics led to the association of functions of defined neural populations with specific behavioral outputs such as the induction of associative memory. Furthermore, combining optogenetics and thermogenetics with state-of-the-art approaches, including connectome mapping and machine learning-based behavioral quantification, might provide a complete view of the experience- and time-dependent variations of behavioral responses. These methodologies allow further understanding of the functional connections between neural circuits and behaviors such as chemosensory, motivational, courtship, and feeding behaviors and sleep, learning, and memory.
科研通智能强力驱动
Strongly Powered by AbleSci AI