Engineering the Multimodal and Multiscale Biophysics of Neural Networks for Neuromorphic Computing and Quantum Sensing
Abstract
We propose to harness the multimodal and multiscale biophysics of neural networks for novel neuromorphic computing paradigms, and as a powerful testbed for new measurement systems and methods enabled by quantum technologies. New insights into the biophysics of brain cells challenge the notion that information flow in the brain is mainly electrical. Our proposed research will focus on key missing elements in current models- the multimodal and multiscale characteristics of neural networks, and how these networks interact with their environment. Our goal is to perform cutting-edge biophysics research on neural networks, with the aim of obtaining a deep new understanding of information processing, plasticity, and learning. Building on this capability to measure higher-order functional characteristics in vitro, we propose to compare and contrast the performance of living neural networks with that of quantum computing, and to establish a testbed for novel quantum sensors and actuators for biological applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502510002
Entities
People
- Wolfgang Losert
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Maryland