scholarly journals What You See is what You Just Heard: The Effect of Temporal Rate Adaptation on Human Intersensory Perception

i-Perception ◽  
10.1068/ic879 ◽  
2011 ◽  
Vol 2 (8) ◽  
pp. 879-879
Author(s):  
Carmel Levitan ◽  
Yih-Hsin Alison Ban ◽  
Shinsuke Shimojo
Keyword(s):  
Rate Adaptation ◽  
Intersensory Perception ◽  
Temporal Rate

Temporal rate adaptation transfers cross-modally at a subconscious level

2012 ◽  
Vol 25 (0) ◽  
pp. 30
Author(s):  
Charlotte L. Yang ◽  
Noelle R. B. Stiles ◽  
Carmel A. Levitan ◽  
Shinsuke Shimojo
Keyword(s):  
Cognitive Process ◽  
Rate Adaptation ◽  
Average Frequency ◽  
Adaptation Effect ◽  
Auditory Stimuli ◽  
Specific Rate ◽  
Top Down ◽  
Adaptation Stimulus ◽  
Continuous Flash Suppression ◽  
Temporal Rate

In an earlier study, we demonstrated that the temporal rate adaptation effect can be transferred from audition to vision and vice versa. However, it was unclear whether this effect was due to a top-down cognitive process, or rather to an earlier calibration process which is stimulus-driven and automatic. We therefore examined the effect of interocular masking of the adapting stimuli on the temporal rate adaptation and its cross-modal transfer from vision to audition (VA). Participants were trained, using feedback, to classify repetitive auditory stimuli presented at a range of frequencies (3.25–4.75 Hz) as fast or slow (as compared to the average frequency of 4 Hz). Afterwards, subjects were repeatedly exposed to visual stimuli at a specific rate (3 or 5 Hz). This adaptation stimulus was masked by continuous flash suppression (CFS). During CFS, a stimulus presented to one eye can be suppressed from awareness by a stream of constantly changing images in the other eye. To test whether adaptation resulted from this less visible exposure, participants then performed the same task as in the training, but without feedback. Test and adaptation tasks were presented in 20 alternating blocks. A comparison of the pre- and post-adaptation responses showed cross-modal changes in subjects’ perception of temporal rate. Adaptation to the masked 5 Hz (3 Hz) stimuli led to subsequent stimuli seeming slower (faster) than they had before adaptation. Since the adaptation stimuli were mostly masked by CFS, the results suggest that temporal rate adaptation and its cross-modal transfer occur mostly at a subconscious level.

Intersensory perception in human infancy

Enfance ◽  
1980 ◽  
Vol 33 (4) ◽  
pp. 13-18 ◽  
Author(s):  
George Butterworth
Keyword(s):  
Intersensory Perception

Regularity and latency of units in ventral cochlear nucleus: implications for unit classification and generation of response properties

1988 ◽  
Vol 60 (1) ◽  
pp. 1-29 ◽  
Author(s):  
E. D. Young ◽  
J. M. Robert ◽  
W. P. Shofner
Keyword(s):  
Standard Deviation ◽  
Cochlear Nucleus ◽  
Interspike Interval ◽  
Rate Adaptation ◽  
Stellate Cells ◽  
Instantaneous Rate ◽  
Ventral Cochlear Nucleus ◽  
Bushy Cell ◽  
Low Pass ◽  
The Mean

1. The responses of neurons in the ventral cochlear nucleus (VCN) of decerebrate cats are described with regard to their regularity of discharge and latency. Regularity is measured by estimating the mean and standard deviation of interspike intervals as a function of time during responses to short tone bursts (25 ms). This method extends the usual interspike-interval analysis based on interval histograms by allowing the study of temporal changes in regularity during transient responses. The coefficient of variation (CV), equal to the ratio of standard deviation to mean interspike interval, is used as a measure of irregularity. Latency is measured as the mean and standard deviation of the latency of the first spike in response to short tone bursts, with 1.6-ms rise times. 2. The regularity and latency properties of the usual PST histogram response types are shown. Five major PST response type classes are used: chopper, primary-like, onset, onset-C, and unusual. The presence of a prepotential in a unit's action potentials is also noted; a prepotential implies that the unit is recorded from a bushy cell. 3. Units with chopper PST histograms give the most regular discharge. Three varieties of choppers are found. Chop-S units (regular choppers) have CVs less than 0.35 that are approximately constant during the response; chop-S units show no adaptation of instantaneous rate, as measured by the inverse of the mean interspike interval. Chop-T units have CVs greater than 0.35, show an increase in irregularity during the response and show substantial rate adaptation. Chop-U units have CVs greater than 0.35, show a decrease in irregularity during the response, and show a variety of rate adaptation behaviors, including negative adaptation (an increase in rate during a short-tone response). Irregular choppers (chop-T and chop-U units) rarely have CVs greater than 0.5. Choppers have the longest latencies of VCN units; all three groups have mean latencies at least 1 ms longer than the shortest auditory nerve (AN) fiber mean latencies. 4. Chopper units are recorded from stellate cells in VCN (35, 42). Our results for chopper units suggest a model for stellate cells in which a regularly firing action potential generator is driven by the summation of the AN inputs to the cell, where the summation is low-pass filtered by the membrane capacitance of the cell.(ABSTRACT TRUNCATED AT 400 WORDS)

scholarly journals Visualization of the Strain-Rate State of a Data Cloud: Analysis of the Temporal Change of an Urban Multivariate Description

2019 ◽  
Vol 9 (14) ◽  
pp. 2920
Author(s):  
Lorena Salazar-Llano ◽  
Camilo Bayona-Roa
Keyword(s):  
Strain Rate ◽  
Temporal Change ◽  
Three Dimensional ◽  
Urban System ◽  
Deformation Pattern ◽  
Analysis Methodology ◽  
Global Deformation ◽  
Temporal Rate ◽  
Cloud Of Points ◽  
Entire Dataset

One challenging problem is the representation of three-dimensional datasets that vary with time. These datasets can be thought of as a cloud of points that gradually deforms. However, point-wise variations lack information about the overall deformation pattern, and, more importantly, about the extreme deformation locations inside the cloud. This present article applies a technique in computational mechanics to derive the strain-rate state of a time-dependent and three-dimensional data distribution, by which one can characterize its main trends of shift. Indeed, the tensorial analysis methodology is able to determine the global deformation rates in the entire dataset. With the use of this technique, one can characterize the significant fluctuations in a reduced multivariate description of an urban system and identify the possible causes of those changes: calculating the strain-rate state of a PCA-based multivariate description of an urban system, we are able to describe the clustering and divergence patterns between the districts of a city and to characterize the temporal rate in which those variations happen.

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