SBIR/STTR Award attributes
In order to meet the Navy’s need for a spiking neural network testing platform, ChromoLogic proposes to develop a Spiking Neural Network Modeler (SpiNNMo) capable of simulating a variety of neuromorphic hardware platforms. SpiNNMo will allow the Navy to test the performance of new spiking neural network architectures and hardware technologies in their RF signal processing pipelines. SpiNNMo simulates errors inherent in analog computational circuits at the neuron-level so that a single model can simulate the behavior of a wide range of underlying hardware without the computational cost of simulating individual circuit elements.