bioRxiv · 10.1101/828467
Ultrafast Readout of Representations from Spatially Distributed Rodent Hippocampal Field Potentials
Abstract
Spatiotemporal patterns of large-scale spiking and field potentials of the rodent hippocampus encode spatial representations during maze run, immobility and sleep. Here, we showed that multi-site hippocampal field potential amplitude at ultra-high frequency band (FPAuhf) provides not only a fast and reliable reconstruction of the rodents position in wake, but also a readout of replay content during sharp wave ripples. This FPAuhf feature may serve as robust real-time decoding strategy from large-scale (up to 100,000 electrodes) recordings in closed-loop experiments. Furthermore, we developed unsupervised learning approaches to extract low-dimensional spatiotemporal FPAuhf features during run and ripple periods, and to infer latent dynamical structures from lower-rank FPAuhf features. We also developed a novel optical flow-based method to identify propagating spatiotemporal LFP patterns from multi-site array recordings, which can be used for decoding application. Finally, we developed a prospective decoding strategy to predict animals future decision in goal-directed navigation.
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Cao, L., Varga, V., Chen, Z. S.. 2019-11-01. Ultrafast Readout of Representations from Spatially Distributed Rodent Hippocampal Field Potentials. https://doi.org/10.1101/828467
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