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  2. Error-related negativity - Wikipedia

    en.wikipedia.org/wiki/Error-related_negativity

    The ERN is a sharp negative going signal which begins about the same time an incorrect motor response begins, (response locked event-related potential), and typically peaks from 80 to 150 milliseconds (ms) after the erroneous response begins (or 40–80 ms after the onset of electromyographic activity).

  3. Spike-triggered average - Wikipedia

    en.wikipedia.org/wiki/Spike-triggered_average

    Let denote the spatio-temporal stimulus vector preceding the 'th time bin, and the spike count in that bin. The stimuli can be assumed to have zero mean (i.e., [] =).If not, it can be transformed to have zero-mean by subtracting the mean stimulus from each vector.

  4. N170 - Wikipedia

    en.wikipedia.org/wiki/N170

    In their study, they introduced a new factor: stimuli could be faces or non-faces, and either class could have high or low similarity. Similarity was measured by calculating the correlation between pixel values in pairs of same-category stimuli. When ERPs were compared for these conditions, they found a typical N170 effect in the low-similarity ...

  5. Contingent negative variation - Wikipedia

    en.wikipedia.org/wiki/Contingent_negative_variation

    The readiness potential is the neural preparation for motoric responses. Both components have a similar scalp distribution with a negative amplitude and are associated with a motor response. In fact, many researchers claimed that the terminal CNV, or E wave, was in fact the readiness potential, or Bereitschaftspotential. This was the general ...

  6. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    The template for any binary confusion matrix uses the four kinds of results discussed above (true positives, false negatives, false positives, and true negatives) along with the positive and negative classifications.

  7. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  8. Reverse correlation technique - Wikipedia

    en.wikipedia.org/wiki/Reverse_correlation_technique

    The reverse correlation technique is a data driven study method used primarily in psychological and neurophysiological research. [1] This method earned its name from its origins in neurophysiology, where cross-correlations between white noise stimuli and sparsely occurring neuronal spikes could be computed quicker when only computing it for segments preceding the spikes.

  9. Neural correlates of consciousness - Wikipedia

    en.wikipedia.org/wiki/Neural_correlates_of...

    The neural correlates of consciousness (NCC) are the minimal set of neuronal events and mechanisms sufficient for the occurrence of the mental states to which they are related. [2] Neuroscientists use empirical approaches to discover neural correlates of subjective phenomena; that is, neural changes which necessarily and regularly correlate ...