Open AccessInvestigating learning-related neural circuitry with chronic in vivo optical imaging
Author(s) -
Christian R. Lee,
Laleh Najafizadeh,
David J. Margolis
Publication year - 2020
Publication title -
brain structure and function
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.648
H-Index - 95
eISSN - 1863-2661
pISSN - 1863-2653
DOI - 10.1007/s00429-019-02001-9
Subject(s) - neuroscience , biological neural network , neuroimaging , neuroplasticity , brain function , computer science , artificial neural network , deep learning , artificial intelligence , psychology
Fundamental aspects of brain function, including development, plasticity, learning, and memory, can take place over time scales of days to years. Chronic in vivo imaging of neural activity with cellular resolution is a powerful method for tracking the long-term activity of neural circuits. We review recent advances in our understanding of neural circuit function from diverse brain regions that have been enabled by chronic in vivo cellular imaging. Insight into the neural basis of learning and decision-making, in particular, benefit from the ability to acquire longitudinal data from genetically identified neuronal populations, deep brain areas, and subcellular structures. We propose that combining chronic imaging with further experimental and computational innovations will advance our understanding of the neural circuit mechanisms of brain function.