An Associative Memory Readout in ESN for Neural Action Potential Detection
Nicolas J. Dedual, Mustafa C. Ozturk, Justin C. Sanchez, José Carlos Príncipe · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 2007
This paper describes how echo state networks (ESN) can be used in conjunction with minimum average correlation energy (MACE) filters in order to create a system that can identify spikes in neural recordings. Various experiments using real-world data were used to compare the performance of the ESN-MACE against threshold and matched filter detectors to ascertain the capabilities of such a system in detecting neural action potentials. The experiments demonstrate that the ESN-MACE can correctly detect spikes with lower false alarm rates than established detection techniques since it captures the inherent variability and the covariance information in spike shapes by training.