Neural Theory
Formalizing new models of the hippocampus
Neural Computing
HAANA Grand Challange
Human Performance Laboratory
Neurogenisis Deep Learning
Apply neuroscience theory in machine learning
Research Areas
Neural Theory – Formal characterization of information representations and metrics for assessing the computation of neural regions.
Modeling and Simulation – Developing software tools and methods for generating and deploying large-scale models of neural systems on conventional high-performance computing platforms and neural hardware systems.
Neural-inspired Computing – Designing new computing architectures and device materials to accelerate the deployment of neural-inspried algorithms into real-world applications. We also test many neural network accelerators and neuromorphic platforms in the NERL Lab
Neuroinformatics and Data Analytics – Creating approaches to consolidate, analyze and interpret "big data" from experimental and computational neuroscience efforts
Human Performance Laboratory – Exploring human neural dynamics using techniques including EEG, eye tracking, and tDCS
People and Departments
Sandia’s neuroscience research involves an interdisciplinary community of independent research staff and postdocs based in a number of centers and departments across the Laboratories.
We are often looking for postdoctoral candidates excited in computational neuroscience and theoretical neural computing. E-mail jbaimon@sandia.gov for information about potential opportunities.