Neurogenesis in Neuromorphic Computing- Hippocampus-inspired Dynamic Networks
Abstract
This work will investigate novel bio-inspired networks with controlled neurogenesis. The scope is to develop realistic dynamic neural networks inspired by the hippocampal architecture and their potential mapping to neuromorphic hardware. Neurogenesis refers to the daily addition of new neurons in the brain. It is a unique phenomenon in the healthy adult mammalian brain, and it seems only localized in the olfactory bulb and in the front end of the hippocampal region, called the dentate gyrus. The new neurons are believed to support the efficient pattern separation in this dentate gyrus and its ability to distinguish and store similar experiences as distinct memories. This project will draw inspiration from this biological phenomenon by designing an artificial neural network with a flexible front-end portion handling the inputs for pattern separation which can regenerate and form new connections at a given rate as inspired by the dentate gyrus. The backend handling pattern completion will have a fixed architecture inspired by the rest of the hippocampus.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 29, 2024
- Source ID
- FA95502310173
Entities
People
- Gina Adam
Organizations
- Air Force Office of Scientific Research
- George Washington University
- United States Air Force