In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory
neurons, defined by the organization of their synaptic connections. Although connections …

Determining which features of the neural code drive behavior requires the ability to
simultaneously read out and write in neural activity patterns with high precision across many …

Understanding the relationship between circuit connectivity and function is crucial for
uncovering how the brain implements computation. In the mouse primary visual cortex (V1) …

During development, cortical activity is organized into distributed modular patterns that are a
precursor of the mature columnar functional architecture. Theoretically, such structured …

Dense local, recurrent connections are a major feature of cortical circuits, yet how they affect
neurons' responses has been unclear, with some studies reporting weak recurrent effects …

The relationship between neurons' input and spiking output is central to brain computation.
Studies in vitro and in anesthetized animals suggest that nonlinearities emerge in cells' input …

Due to technical roadblocks, it is unclear how visual circuits represent multiple features or
how behaviorally relevant representations are selected for long-term memory. Here we …

Synapse-specific connectivity and dynamics determine microcircuit function but are
challenging to explore with classic paired recordings due to their low throughput. We …

Cortical activity patterns occupy a small subset of possible network states. If this is due to
intrinsic network properties, microstimulation of sensory cortex should evoke activity patterns …

The relationship between neurons' input and spiking output is central to brain computation.
Studies in vitro and in anesthetized animals suggest nonlinearities emerge in cells' input …