“The Fourier transform is a mathematical tool for representing an arbitrary function with a superposition sine waves,” states Spencer LaVere Smith at UC Santa Barbara. In this YouTube video, Smith and Che-Hang Yu discusses fourier optics.

This microscope can screen libraries of Genetically Encoded Voltage Indicators in 96-well plates.

Neuronal functional connectivity is the statistical dependence of neurons’ activities. Functional connectivity is typically inferred from data of in vivo simultaneously recorded neurons in the framework of conditional dependence graphical models, where neurons are represented by nodes, and an edge connects two nodes if the two neurons' activities share covariability conditionally on all other sources of variability in the network.

Utilities and algorithms designed for processing and analysis of graphs with specialized graph statistical algorithms

Python package for graph statistics

Simulations and figure generating code for the paper "Inference of Synaptic Connectivity and External Variability in Neural Microcircuits."

knorR is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures.

The system includes non-linear optical amplifier (NOPA) pumped by a Spirit 1030-70 laser system.

We recently discussed this paper by A. M. Ni et al. from Cohen lab. The authors investigated both neuronal and behavioral effects of attention and perceptual learning as well as the relationship between stimulus conditioned correlated variability and subjects’ performance in behavioral tasks. Through empirical studies and statistical analyses, they found a single, consistent relationship between stimulus conditioned correlated variability and behavioral performance, regardless of the time frame