Large-scale neural recordings call for new insights to link brain and behavior

Neuroscientists can measure activity from more neurons than ever before, garnering new insights and posing challenges to traditional theoretical frameworks. New frameworks may help researchers use these observations to shed light on brain function. Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and behavior. In the present review, we first describe emerging tools and technologies being used to probe large-scale brain activity and new approaches to characterize behavior in the context of such measurements. We next highlight insights obtained from large-scale neural recordings in diverse model systems, and argue that some of these pose a challenge to traditional theoretical frameworks. Finally, we elaborate on existing modeling frameworks to interpret these data, and argue that the interpretation of brain-wide neural recordings calls for new theoretical approaches that may depend on the desired level of understanding. These advances in both neural recordings and theory development will pave the way for critical advances in our understanding of the brain.

Automated summary

Neuroscientists have the ability to measure activity from more neurons using emerging tools and technologies, posing challenges to traditional theoretical frameworks and providing new insights. Connecting brain-wide neural recordings to computation and behavior is a current challenge, with the need for new theoretical approaches to understand brain function. Advances in neural recordings and theory development are expected to contribute to a critical improvement in our understanding of the brain.