Spencer L. Smith

The paper uses calcium imaging and computational methods to show that cortical networks operate near criticality through arousal-linked neuronal avalanches.

The paper investigates synergistic interactions mediating long-range correlations in the visual cortex of awake mice during visual stimulation.

This paper introduces non-inertial scan angle multipliers to expand field-of-view and system throughput in laser-based applications.

The paper analyzes neural correlations in the visual cortex of mice to show that visual information is transmitted through distinct channels across cortical areas.

This protocol provides standardised measurements to assess and compare multiphoton microscope performance across users.

The paper introduces a long working distance air objective for multiphoton imaging in vivo, demonstrating its performance across multiple species and imaging systems.

The paper identifies two distinct functional modules in the medial posterior parietal cortex of mice, each with unique roles in integrating sensory and cognitive information versus transmitting movement and memory-related signals.

The paper develops a method for two-photon imaging of the transverse hippocampal plane in awake mice, enabling tracking of dendritic dynamics and characterization of spatial information distribution.

The paper examines texture and motion representations in mouse higher visual areas, finding specialized processing in LM for texture and AL for motion.

Diesel2p is an open-source two-photon imaging system that enables high-speed calcium imaging of widely distributed neurons in deep brain tissue with subcellular resolution.

This paper introduces a two-photon microscope that enables high-speed, simultaneous imaging of multiple brain regions in mice, demonstrating calcium activity measurement in sensorimotor cortex.

This study investigates how two types of interneurons modulate nonlinear synaptic integration in mouse visual cortex, finding that SOM interneurons reduce response amplitude while PV interneurons have minimal effects.

This paper introduces SNP-GPFA, a Gaussian process factor model to separate signal and noise in neural population activity, showing noise perturbs activity orthogonal to signal.

This study shows mice use common strategies to discriminate natural scenes, with performance predicted by a simple V1-inspired model.

The paper introduces a two-photon imaging system with a wide field-of-view and uses it to measure neuron activity correlations in awake mice.