Beyond the quantum formalism: consequences of a neural-oscillator model to quantum cognition

In this paper we present a neural oscillator model of stimulus response theory that exhibits quantum-like behavior. We then show that without adding any additional assumptions, a quantum model constructed to fit observable pairwise correlations has no predictive power over the unknown triple moment, obtainable through the activation of multiple oscillators. We compare this with the results obtained in de Barros (2013), where a criteria of rationality gives optimal ranges for the triple moment.Comment: 4 pages; to appear in the Advances in Cognitive Neurodynamics, Proceedings of the 4th International Conference on Cognitive Neurodynamics - 201

Pitch motion with random chord sequences

Perception of global pitch motion was studied through psychoacoustic experiments with random chord sequences. Chords contained either six or eight (fixed) tone elements, being sinusoidal, sawtooth-like, or Shepard tones, which were either on or off according to a probability controlled by the experimenter. Sequences of 2, 4, 5, or 8 chords were used. Identification by subjects of the perceived direction of overall pitch motion (up or down) was found to be well accounted for by a model in which the ultimate pitch motion percept is given by a sum of contributions from selected element transitions-that is, transitions between adjoining tone elements in successive time frames only. In its simplest form, this dipole contribution model has only one free parameter, the perceptual noise for an element transition, which was estimated for various acoustic tone representations and chord arrangements. Results of two experiments, which were carried out independently in two different laboratories, are reported

Models for the statistics and mechanisms of response speed and accuracy

time limit tests, conditional accuracy function, speed-accuracy tradeoff, conditional logistic regression, Cox regression, mixed regression, multilevel analysis, latent trait, mental rotation, mathematical models, perception, cognition, speed-accuracy relations,

Variability of the MAX and MIN Statistic: A Theory of the Quantile Spread as a Function of Sample Size

Extremal distributions, Extremal variability, Quantile spread, Parallel processing,