Neuromorphic Computing

Neuromorphic Computing

Neuromorphic Computing investigates the computational principles that enable high-level sensory processing and sensory cognition in the human brain by attempting to implement these principles into large-scale, high-performance computer models.

Even after several decades of exponential growth in processing power, computers still cannot match the ability of the brain to interpret, respond to, and learn from natural sensory inputs. Rapid progress in neuroscience, however, is enabling an alternative strategy for achieving brain-like behavior: identifying the computational primitives that underlie the processing in biological neural circuits. The enormous scale of biological neural systems means neuromorphic computing research requires high-performance neural simulations tools in order to test complex scientific hypotheses at scale.

Eye Research - New Mexico Consortium, Los Alamos, New Mexico


Pete Schultz, New Mexico Consortium scientist


PetaVision is an open source, object oriented neural simulation toolbox optimized for high-performance multi-core, multi-node computer architectures. PetaVision is intended for computational neuroscientists who seek to apply neuromorphic models to hard signal processing problems; both to improve on the performance of existing algorithms and/or to gain insight into the computational mechanisms underlying biological neural processing. PetaVision has been used on a range of vision and learning tasks including depth inference, action classification, and learning from multiple intelligence streams including weather and commodity prices. PetaVision has been used to perform image classification, sound analysis, and image-rescaling and is flexible enough to grow with your imagination.

This project is funded by Nathan Debardelaben’s Enabling Manufacturing project at the USRC.


Drones - New Mexico Consortium, Los Alamos, New Mexico

Collaborative Research: A Neurally Inspired, Event-Based Computer Vision Pipeline

NeuroMorphic Computing - New Mexico Consortium, Los Alamos, New Mexico

Synthetic Cognition through Petascale Models of the Primate Visual Cortex

Eye Research - New Mexico Consortium, Los Alamos, New Mexico
SALLSA: Sparse Adaptive Local Learning for Sensing and Analytics