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.

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