Topic: large-scale neural recordings

Breakthrough in-vivo recording techniques and computational tools allow quantitative characterization of the population geometry from large-scale neural recordings. Activity covariance from such recordings exhibits striking statistical properties, namely a characteristic power law in the eigenspectrum: the decay coefficient of the eigenspectrum α≈1 for mouse and monkey V1 population responses. Concurrently, studies in self-supervised deep neural networks (DNNs) also demonstrate a similar property, i.e., α is close to 1 in their final layers of visual information processing. However, these mod

Expanding use of large-scale neural recordings has led to paradigm shifts in how neural computation is understood [1]. Technologies used for collecting these datasets face fundamental limitations ranging from power dissipation, penetration depth, and resolution [2] while facing additional practical challenges related to sensor integration with the subject or patient. While the ultimate goal of simultaneously recording from every neuron in the brain is far out of reach, more modest advancements still need to be made to ensure the proper neural coverage is achieved to construct a sufficient app

Advancements in large-scale neural recordings are now enabling opportunities to probe cognitive computations across simultaneously recorded brain regions, necessitating modeling tools for deciphering multi-region interactions. In an emerging class of dynamical models, brain-wide neural activity is reconstructed by region-specific modules that interact through communication channels and may receive additional information as inputs. These models aim to recover the effective connectome, which includes the inter-region connection diagram and the messages communicated between regions. However, with

Goal-directed behavior requires the coordinated activity of sensory and motor areas across the brain. Recent advances in large-scale neural recordings allow studying brain-wide dynamics during behavior at cellular resolution. We used mesoscale calcium imaging to record the activity of up to ~30,000 neurons simultaneously (~1,000,000 neurons total) from over 10 cortical areas while mice performed a novel goal-directed naturalistic behavior. The behavior consisted of multipositional tongue-reaching movements to a target to obtain a water reward, with the target presented on a grid (typically con