OPTOGENETIC NEURAL PROBE DEVICE WITH PLURALITY OF INPUTS AND OUTPUTS AND METHOD OF MANUFACTURING THE SAME

    公开(公告)号:US20240407650A1

    公开(公告)日:2024-12-12

    申请号:US18672674

    申请日:2024-05-23

    Abstract: An optogenetic neural probe device for transmitting an optical signal to a nerve cell or receiving a fluorescent signal from the nerve cell, including: an optical device alignment substrate; an optical device group on the optical device alignment substrate and including one or more optical devices; and one or more optogenetic neural probes, wherein each optogenetic neural probe from among the one or more optogenetic neural probes may include an optical neural probe substrate, an optical waveguide on the optical neural probe substrate, and an optical signal input/output port, wherein the optogenetic neural probe is configured to transmit the optical signal emitted from the optical device group to the optical signal input/output port through the optical waveguide.

    Apparatus and method for fast persistent writing to nonvolatile memory

    公开(公告)号:US12153811B2

    公开(公告)日:2024-11-26

    申请号:US17903110

    申请日:2022-09-06

    Abstract: Disclosed herein are an apparatus and method for processing fast persistent writing to nonvolatile memory. A method for processing fast persistent writing to a nonvolatile memory includes writing log data from a last storage position in a data block created in a certain size, reflecting the entire data block in a storage medium, increasing the last storage position by a size of the written log data, and reflecting the entire data block in a storage medium, wherein the data block is linearly linked to an additional data block in a creation order, and wherein the data block includes a log data storage region, information about a last storage position where the log data is stored in the log data storage region, and information about a linked next data block.

    Apparatus and method for generating data set

    公开(公告)号:US12153604B2

    公开(公告)日:2024-11-26

    申请号:US17967999

    申请日:2022-10-18

    Abstract: Disclosed herein are an apparatus and method for generating a data set. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program classifies collected data into numerical feature data and categorical feature data using a filter method, performs correlation analysis on the numerical feature data and the categorical feature data using an analysis of variance (ANOVA) method and a Chi-Squared method, and generates a data set for supervised learning and a data set for unsupervised learning using correlation scores calculated through correlation analysis.

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