Deep Learning in Neuroscience Research

This chapter examines the fusion of deep learning techniques with neuroscience, focusing on the life cycle of inhibitory brain cells and the creation of detailed atlas maps of brain anatomy. It highlights imaging techniques that enhance clarity in brain tissues and the use of genetic models to understand neural connectivity. Additionally, advanced genetic editing tools such as CRISPR-Cas are discussed for their role in tracing neural connections and studying the impact of genes on neurodevelopmental disorders.