PyMEDA is a python package for matrix exploratory data analysis (MEDA). It is inspired by the MEDA R package.

Randomer Forest is an improved random forest algorithm that achieves better accuracy and scaling than previous implementations on a standard suite of >100 benchmark problems.

This link will take you to the presentation slides used in our journal club. The presented paper’s preprint is available here. Normative models of evidence accumulation have proven useful in understanding behavioral and neural data in perceptual decision making tasks.  They allow us to understand how humans and animals use the available information to decide between alternatives. However, even for relatively simple tasks, normative models can be quite complex. A lot of recent work therefore a

Reconstruct is a Windows application for montaging, aligning, tracing, measuring, and reconstructing objects from serial section images.

Spiking network simulations to produce all figures in "Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance"

Matlab and C code for simulating spatially extended spiking neural networks with non-translationally invariant connectivity

SynapseAnalysis (PSD) is a framework to evaluate synaptic antibodies for fluorescence array tomography (AT)

In this YouTube video, Che-Hang Yu and Spencer LaVere Smith at UC Santa Barbara talk about two photon microscopy.