Decoding ECoG High Gamma Power from Cellular Calcium Response using Transparent Graphene Microelectrodes

Abstract

The ECoG has been widely used in human brain research, while 2-photon microscopy has been broadly applied to basic neuroscience studies using animal models. Bridging the gap between the 2-photon microscopy and the ECoG is critical for transferring the vast amount of neuroscience knowledge obtained from animal models to human brain studies. Here we develop an LSTM recurrent neural network model to decode the ECoG high gamma power from the cellular calcium activities obtained by multimodal ECoG recordings and 2-photon calcium imaging enabled by transparent graphene microelectrode arrays. In both awake and anesthetized states, our model can successfully decode the stimulus-induced ECoG high gamma power increases and its spontaneous fluctuations in the absence of stimulus.