Zhishang Zhou

The paper shows recurrent cortical networks in mouse visual cortex encode natural sensory statistics by filtering input sequences rather than generating them.

The paper shows optogenetic input to mouse V1 excitatory neurons creates salt-and-pepper patterns of excitation and suppression, with responses not strongly predicted by direct input.

The paper measures neural activation functions in awake mice using optogenetics, finding neurons exhibit a supralinear-to-linear response that allows filtering of inputs during suppression.

The paper shows that mice learning to use novel optogenetic activity patterns in V1 experience amplified neural responses, suggesting cortical plasticity improves behavioral performance.

The paper introduces a bicistronic AAV vector that co-expresses GCaMP8s and stChrimsonR in mice, enabling stable and robust two-photon holographic stimulation and imaging of cortical neurons.