Introduction to Systems Neuroscience: Memory Systems Overview

This lecture provides an overview of systems neuroscience, focusing on the structure and function of neural circuits and systems. The instructor introduces the course, highlighting the integration of machine learning and neuroscience. The lecture covers the definition of systems neuroscience, emphasizing its interdisciplinary nature and the importance of understanding neural dynamics in adaptive behaviors. Key concepts such as the hippocampus's role in memory, the mechanisms of memory encoding, and the significance of neural circuits in behavior are discussed. The instructor outlines the course logistics, including weekly topics, assignments, and evaluation methods. The lecture also touches on the challenges in studying memory systems and the technological advancements that facilitate large-scale neural recordings. The importance of experimental design in understanding how neural circuits give rise to behavior is emphasized, along with the necessity of correlating neural activity with learned behaviors. Overall, this lecture sets the stage for a deeper exploration of systems neuroscience and memory in subsequent sessions.