PhD Dissertation Defense: Madeline Hays
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Title: Experimental Evaluation of High-Density Neural Recording with Compressive Readout for Bidirectional Implants Abstract: High-density neural interfaces for restoration and augmentation of sensory or motor functions require simultaneous recording from thousands of neurons with single-cell resolution. However, safety requirements limit power density, making high-throughput data transmission a major obstacle for bidirectional neural implants. The wired-OR compressive readout scheme addresses this problem by exploiting sparsity of neural activity to achieve ultra-low-power compression, but its ability to preserve physiologically relevant neural signals has not been experimentally established. Here we evaluated wired-OR compression for neural waveform preservation, single-cell resolvability, and cell-type identification in ex vivo retinal recordings. Spontaneous activity from macaque retina was recorded using a 1024-channel, 32x32 microelectrode array with 36 μm pitch, reaching compre
