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Showing 1 to 3 of 3 for “"Spike Detection and Sorting"”.

  1. Reconfigurable System-on-Chip Architecture for Neural Signal Processing

    … encoded in the rate of neuronal action potential spikes. Successful performance of a BMI system is tied to the efficiency of its individual processing elements such as spike detection, sorting and decoding. To achieve reliable operation, BMIs are equipped with hundreds of electrodes at the neural …

    temple Repository record for Reconfigurable System-on-Chip Architecture for Neural Signal Processing (opens in a new tab)

  2. Low-rank graphical models and Bayesian inference in the statistical analysis of noisy neural data

    … the second part we develop methods to quantify and measure information loss in analysis of neuronal spike train data due to two types of noise, making use of the ideas developed in the first part. Information about neuronal identity or temporal resolution may be lost during spike detection and

    columbia-diss Repository record for Low-rank graphical models and Bayesian inference in the statistical analysis of noisy neural data (opens in a new tab)

  3. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization

    … a novel mathematical algorithm for extracting spike data and positional information from extracellular electrophysiological neural recordings. By capturing the electrical signals emitted by individual neurons using a thin, conducting probe inserted into the brain of an animal, such recordings …

    arizona-thes Repository record for A Bayesian Approach to Spike Sorting of Neural Data via Source Localization (opens in a new tab)