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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 27 (1977), S. 99-106 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract Performance of six subjects (Ss) in detecting randomly occurring visual signals of filtered sine bursts recorded on paper through four similar noisy channels is investigated and their decision behavior in that task is modelled. The noise channels were additive white Gaussian and independent from each other. This study confirms previous results that the detection outcome from a single channel may be predicted from the maximum signal-to-noise ratio at the output of a filter matched to signal and also that Ss make fewer errors than the optimum matched filter detector. The pattern of improvement in detection in the case of multiple channels was found to be similar to a combination of analog-digital aggregation scheme. Observations on Ss' decision behavior in these experiments were incorporated into a pattern recognition algorithm for single channel detection and into an information processing model for multiple channel aggregation.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Experimental brain research 16 (1973), S. 455-465 
    ISSN: 1432-1106
    Keywords: Linear filter theory ; Neuroelectric signal analysis ; Prosthetics design
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Linear filter analysis was used to detect the occurrence of neuroelectric signals in associated noisy background electrical activity by matching a signal template against incoming neuroelectric data. Bach signal to be detected in the neuroelectric data consisted of a gross potential change recorded at the coronal — precruciate cortex of a cat, evoked by an auditory conditional stimulus, and related to the production of a conditioned facial movement. Detection of the occurrence of the signal corresponded closely to detection of the ensuing movement. The operation of the matched filter on the signals in noise was studied for different threshold levels of detection. Threshold settings were selected to maximize successful detections and to minimize false alarms. The results of our experimental detections agreed closely with predicted, theoretical detection levels derived from Wiener's models of optimum detection of signals in additive noise. Levels of detection were found to depend upon the signal to noise ratios and frequency spectra of the analyzed data and could be predicted a priori from a knowledge of the latter on the basis of Wiener's theory. The ability to predict optimum detection levels, by the linear filter method, of cortical electrical signals related to the production of movements may provide a basis for evaluating the merit of such signals in the design of prosthetic devices for motor control.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Experimental brain research 8 (1969), S. 327-345 
    ISSN: 1432-1106
    Keywords: Cerebellar unit responses ; Purkinje cells ; Click response ; Mossy fibers ; Surface negativities ; Firing patterns
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary 1. Unit activities evoked by auditory stimulation in the cerebellar cortex have been studied in the encéphale isolé cat. Poststimulus-time histograms (PSTH) of 1/sec, click-evoked unit discharges have different response patterns with respect to the onset and time course of unit firing. 2. Units have been classified as type I and type II responses based on their preferred firing time relative to the first surface-negative component (N1) of the click evoked folial response. 3. Laminar analysis of the click evoked slow activity centered on an 8–12 msec negative wave in the molecular layer that corresponded with the N1 surface component. An earlier, sharp, negative-positive sequence was found at depths approaching and deep within the granule cell layer. 4. Units considered to be Purkinje cells based on antidromic stimulation or the appearance of typical climbing fiber responses (CFR's) were found exclusively within the type II unit category. Non-identified click units, including various types of cortical interneurons, were found to be either type I or type II units. 5. Evidence that cerebellar click responses are mediated predominately by mossy fiber afferents derives in part from the inhibitory effect of local folial conditioning stimulation upon N1 waves. In addition, the irregular, recurrent CFR's found in click responsive Purkinje cells were temporally unrelated to the acoustic stimulus. Thus click responses in these units appeared to be initiated by mossy fiber activity.
    Type of Medium: Electronic Resource
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