Used for magnetic nanoparticle heating applications utilizing AC field and solenoid coil principles.

UC Santa Barbara’s Che-Hang Yu has built a demo system that involves a deformable mirror and a Hartmann wavefront sensor. In this YouTube video, Yu demonstrates how this system can be used to measure optical aberrations and correct for them.

Affine and Regularized DEformative Numeric Transform (ARDENT) is a Python package for performing automated image registration using LDDMM.

We recently discussed this paper by Gao et al. from Ganguli lab. They present a theory of neural dimensionality and sufficiency conditions for accurate recovery of neural trajectories, providing a much-needed theoretical perspective from which to judge a majority of systems neuroscience studies that rely on dimensionality reduction. Their results also provide a long overdue mathematical justification for drawing conclusions about entire neural systems based on the activity of a small number of n

We introduce AutoGMM, a Python algorithm for automatic Gaussian mixture modeling. AutoGMM builds upon scikit-learn's AgglomerativeClustering and GaussianMixture classes, with certain modifications to make the results more stable.

Simulation of a plastic balanced network.

On 15 sep 2017, we discussed Bayesian Efficient Coding by Il Memming Park and Jonathan Pillow. As the title suggests, the authors aim to synthesize bayesian inference with efficient coding. The Bayesian brain hypothesis states that the brain computes posterior probabilities based on its model of the world (prior) and its sensory measurements (likelihood). Efficient coding assumes that the brain distributes its resources to maximize a cost, typically information. In particular, they note that eff

Plasmid DNA for packaging AAV; Recombinant AAV (stereotypes 1-9, retro, PhP.eb, PhPs); primary antibodies to Brainbow FPs.

BrainModules is an online interactive visualization tool of the brain architecture based on the tracer database.