DOE OSTI · code-153175
NeuroCoreX: Brain-Inspired Computing from Code to Circuit
Abstract
NeuroCoreX is an open-source codebase that enables the implementation of brain-inspired, energy-efficient neuromorphic computing models on FPGA hardware. Designed to support real-time learning, all-to-all neural connectivity, and flexible network architectures, NeuroCoreX offers a hands-on, accessible platform for exploring biologically inspired models of neural computation. It empowers researchers, students, and developers to implement and experiment with adaptive systems—bringing the power of neuromorphic computing to a broader community through a low-cost, scalable, and reconfigurable framework.
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Gautam, Ashish [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (0000000247997739), Date, Prasanna [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (000000021664069X), Kulkarni, Shruti [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (0000000168949851), Patton, Robert [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (0000000281010571), Potok, Thomas [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (0000000166873435). 2025-03-26. NeuroCoreX: Brain-Inspired Computing from Code to Circuit. https://doi.org/10.11578/dc.20250326.2
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