AI Article Synopsis
- Observing neural networks helps identify learning, memory, and abnormal circuit activities in diseases, aiding in tracking disease progression.
- Initial methodologies focused on genes expressed by active neurons, later evolving to incorporate techniques like optogenetics and interdisciplinary insights from chemistry and physics.
- This review addresses the evolution of molecular biological techniques used to study neural networks and explores potential future advancements.
Article Abstract
Observing the activity of neural networks is critical for the identification of learning and memory processes, as well as abnormal activities of neural circuits in disease, particularly for the purpose of tracking disease progression. Methodologies for describing the activity history of neural networks using molecular biology techniques first utilized genes expressed by active neurons, followed by the application of recently developed techniques including optogenetics and incorporation of insights garnered from other disciplines, including chemistry and physics. In this review, we will discuss ways in which molecular biological techniques used to describe the activity of neural networks have evolved along with the potential for future development.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11021360 | PMC |
| http://dx.doi.org/10.1016/j.mocell.2024.100048 | DOI Listing |
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