Browse our Tools and Resources

The NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data, and the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.

A new method for analyzing continuous psychophysics experiments estimates not only perceptual uncertainty from tracking tasks but also action variability, intrinsic costs, and subjective internal models.

Advances in robotics-assisted plant handling and automated image analysis enables the characterization of root growth dynamics for Arabidopsis accessions at late stages of development and the association of these traits with genetic variation and climatic variables.

A web-based analysis platform for public fMRI data using naturalistic stimuli, leveraging state-of-the-art feature extraction models to enable more generalizable and reproducible findings.

Mapping neuronal circuits is made substantially faster, simpler and more accurate with this extended toolkit of novel cell lines and vectors.

A model framework and toolbox to quantify metacognitive biases and sources of metacognitive noise in animal and human confidence data.

The diameter of individual or multiple arterioles can be rapidly controlled with high spatiotemporal resolution using optogenetics, providing a technique for the direct manipulation of blood flow independently of neural activity or pharmacological agents.

The most comprehensive neuroanatomical atlas on the expression of three glycoprotein hormone receptors, namely, TSHRs, LHCGRs, and FSHRs, was mapped using RNAscope, a technology that allows the detection of mRNA at single-transcript level.

Mars provides a software platform for the development of complex single-molecule analysis workflows enabling the discovery and reporting of new biological phenomena with an open data format accessible to everyone.

The new method and reported findings address a growing interest in neuroscience for research tools that can reliably decompose brain activity at the mesoscopic scale into interpretable components.