Laboratory for Informatics and Computation in Open Neuroscience
Arizona State University

Modern techniques for observing and understanding the nervous system at multiple scales produce a tremendous amount of remarkably diverse data. This has led to the need for a new field of neuroinformatics, which encompasses the techniques and computational tools for data acquisition, storage, sharing, publishing, analysis, visualization, modeling and simulation. These tools are critical for integrating information across all levels and scales of neuroscience to help us understand the biophysical mechanisms that underlie neural computation and treat disease.

Crook Photo

Sharon Crook

School of Mathematical & Statistical Sciences
School of Life Sciences

My work focuses on developing mathematical and computational approaches for studying the dynamics of neurons and neuronal networks and the mechanisms underlying plasticity due to development, learning, trauma or disease. I also contribute to an international effort to promote reproducibility, model sharing and community-based collaborative model development in computational neuroscience research.


Gerkin Photo

Richard C (Rick) Gerkin

School of Life Sciences

Inspired by the success of "unit-testing" in software development, I work on developing data-driven validation tests for neuroscience models, to see how well they accord with various experimental observations. I am focused primarily on models that aim to explain the behavior of neurons, synapses, and ion channels. Related to this, I frequently contribute to several large open source computational neuroscience software projects. I also build predictive statistical models of human and rodent olfactory perception, behavior, and disease.