Paul K. LaFosse

This paper introduces a new system for activating and recording thousands of neurons over a large field-of-view with pixel-level precision.

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

Suite2p processes large-scale neural recordings, outperforming existing methods in motion correction and cell detection.

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.