Publications

Current Opinion in Biomedical Engineering

DOI: 10.1016/j.cobme.2019.11.004

This review focuses on recent advancements in optical methods that have pushed the boundaries for simultaneous population recordings at increasing volumes, distances, depths, and speeds.

DOI: 10.1101/845198

Using a modular approach we have engineered Autonomous Molecular BioluminEscent Reporter (AMBER), an indicator of membrane potential.

The Journal of Neuroscience

DOI: 10.1523/jneurosci.1168-19.2019

We describe a subset of the many recent advances in circuit and cellular imaging tools in NHPs focusing here primarily on the research presented during the corresponding mini-symposium at the 2019 Society for Neuroscience annual meeting.

DOI: 10.1101/798686

We developed a non-invasive preparation for structural and functional imaging of the fly brain through the intact head cuticle. We first showed that the head cuticle transmits long-wavelength laser light with surprisingly high efficiencies.

NeuroImage

DOI: 10.1016/j.neuroimage.2019.06.012

In this study, we critically evaluate the effect of brain parcellations on machine learning models applied to rs-fMRI data. Our experiments reveal that on average, models with stochastic parcellations consistently perform as well as models with widely used atlases at the same spatial scale.

Journal of Neuroscience Research

DOI: 10.1002/jnr.24498

BioLuminescent (BL) light production can modulate neural activity and behavior through co‐expressed OptoGenetic (OG) elements, an approach termed “BL‐OG.” Yet, the relationship between BL‐OG effects and bioluminescent photon emission has not been characterized in vivo.

Annual Review of Vision Science

DOI: 10.1146/annurev-vision-091517-034407

In this article, we review the anatomical inputs and outputs to the mouse primary visual cortex, area V1. Our survey of data from the Allen Institute Mouse Connectivity project indicates that mouse V1 is highly interconnected with both cortical and subcortical brain areas.

Neuron

DOI: 10.1016/j.neuron.2019.08.034

Despite enormous progress in machine learning, artificial neural networks still lag behind brains in their ability to generalize to new situations. Differences in generalization are caused by many defining features of a learning algorithm, such as network architecture and learning rule.

Experimental Neurology

DOI: 10.1016/j.expneurol.2019.05.010

We review recent advances in surgical methods, labeling strategies, and optical tools that have enabled in vivo, high-resolution imaging of the dynamic behaviors of cells in the spinal cord in mice.