The Experts below are selected from a list of 10857 Experts worldwide ranked by ideXlab platform

David W Herr - One of the best experts on this subject based on the ideXlab platform.

  • a system for simultaneous multiple subject multiple stimulus modality and multiple channel collection and analysis of sensory evoked potentials
    2000
    Co-Authors: C W Hamm, J S Ali, David W Herr
    Abstract:

    A system has been developed for collecting sensory evoked potentials simultaneously from multiple channels for multiple subjects at up to 80 kHz sample rate per channel. Sample rates up to 200 kHz are available for four or less chambers and a single channel per chamber. A variety of visual, somatosensory, and auditory stimuli may be presented singly or simultaneously. Collected waveforms are associated with Searchable Text (metadata) to allow convenient selection from a relational database. Multiple waveforms can then be easily grouped for analysis and processed. Results can be exported to other software for further graphics or statistical processing. Scripting and event logging are available to provide automation and improve data confidence. Sample data are presented from control animals for each of the sensory modalities for comparison with historical data collected from other systems.

Weig, Eric C. - One of the best experts on this subject based on the ideXlab platform.

Michael Benson - One of the best experts on this subject based on the ideXlab platform.

C W Hamm - One of the best experts on this subject based on the ideXlab platform.

  • a system for simultaneous multiple subject multiple stimulus modality and multiple channel collection and analysis of sensory evoked potentials
    2000
    Co-Authors: C W Hamm, J S Ali, David W Herr
    Abstract:

    A system has been developed for collecting sensory evoked potentials simultaneously from multiple channels for multiple subjects at up to 80 kHz sample rate per channel. Sample rates up to 200 kHz are available for four or less chambers and a single channel per chamber. A variety of visual, somatosensory, and auditory stimuli may be presented singly or simultaneously. Collected waveforms are associated with Searchable Text (metadata) to allow convenient selection from a relational database. Multiple waveforms can then be easily grouped for analysis and processed. Results can be exported to other software for further graphics or statistical processing. Scripting and event logging are available to provide automation and improve data confidence. Sample data are presented from control animals for each of the sensory modalities for comparison with historical data collected from other systems.

Paul N Edwards - One of the best experts on this subject based on the ideXlab platform.

  • Producing “one vast index”: Google Book Search as an algorithmic system
    2017
    Co-Authors: Melissa K Chalmers, Paul N Edwards
    Abstract:

    In 2004, Google embarked on a massive book digitization project. Forty library partners and billions of scanned pages later, Google Book Search has provided Searchable Text access to millions of books. While many details of Google’s conversion processes remain proprietary secret, here we piece together their general outlines by closely examining Google Book Search products, Google patents, and the entanglement of libraries and computer scientists in the longer history of digitization work. We argue that far from simply “scanning” books, Google’s efforts may be characterized as algorithmic digitization, strongly shaped by an equation of digital access with full-Text searchability. We explore the consequences of Google’s algorithmic digitization system for what end users ultimately do and do not see, placing these effects in the conText of the multiple technical, material, and legal challenges surrounding Google Book Search. By approaching digitization primarily as a Text extraction and indexing challenge—an effort to convert print books into electronically Searchable data—GBS enacts one possible future for books, in which they are defined largely by their Textual content