Bodywide fluctuations support manual exploration: Fractal fluctuations in posture predict perception of heaviness and length via effortful touch by the hand

2020 ◽  
Vol 69 ◽  
pp. 102543 ◽  
Author(s):  
Madhur Mangalam ◽  
Ryan Chen ◽  
Terrence R. McHugh ◽  
Tarkeshwar Singh ◽  
Damian G. Kelty-Stephen
2019 ◽  
Author(s):  
Madhur Mangalam ◽  
Nicole S. Carver ◽  
Damian G. Kelty-Stephen

AbstractA long history of research has pointed to the importance of fractal fluctuations in physiology, but so far, the physiological evidence of fractal fluctuations has been piecemeal and without clues to bodywide integration. What remains unknown is how fractal fluctuations might interact across the body and how those interactions might support the coordination of goal-directed behaviors. We demonstrate that a complex interplay of fractality in mechanical fluctuations across the body supports a more accurate perception of heaviness and length of occluded handheld objects via effortful touch in blindfolded individuals. For a given participant, the flow of fractal fluctuation through the body indexes the flow of perceptual information used to derive perceptual judgments. These patterns in the waxing and waning of fluctuations across disparate anatomical locations provide novel insights into how the high-dimensional flux of mechanotransduction is compressed into low-dimensional perceptual information specifying properties of hefted occluded objects.


GigaScience ◽  
2020 ◽  
Vol 9 (12) ◽  
Author(s):  
Ariel Rokem ◽  
Kendrick Kay

Abstract Background Ridge regression is a regularization technique that penalizes the L2-norm of the coefficients in linear regression. One of the challenges of using ridge regression is the need to set a hyperparameter (α) that controls the amount of regularization. Cross-validation is typically used to select the best α from a set of candidates. However, efficient and appropriate selection of α can be challenging. This becomes prohibitive when large amounts of data are analyzed. Because the selected α depends on the scale of the data and correlations across predictors, it is also not straightforwardly interpretable. Results The present work addresses these challenges through a novel approach to ridge regression. We propose to reparameterize ridge regression in terms of the ratio γ between the L2-norms of the regularized and unregularized coefficients. We provide an algorithm that efficiently implements this approach, called fractional ridge regression, as well as open-source software implementations in Python and matlab (https://github.com/nrdg/fracridge). We show that the proposed method is fast and scalable for large-scale data problems. In brain imaging data, we demonstrate that this approach delivers results that are straightforward to interpret and compare across models and datasets. Conclusion Fractional ridge regression has several benefits: the solutions obtained for different γ are guaranteed to vary, guarding against wasted calculations; and automatically span the relevant range of regularization, avoiding the need for arduous manual exploration. These properties make fractional ridge regression particularly suitable for analysis of large complex datasets.


Infancy ◽  
2003 ◽  
Vol 4 (1) ◽  
pp. 141-156 ◽  
Author(s):  
Sophia L. Pierroutsakos ◽  
Judy S. DeLoache
Keyword(s):  

1981 ◽  
Vol 139 (3) ◽  
pp. 320-323 ◽  
Author(s):  
Eduardo Berger ◽  
Martin S. Gillieson ◽  
Jack H. Walters
Keyword(s):  

1999 ◽  
Author(s):  
M. Sile O’Modhrain

Abstract In this paper, we present the results of a pilot study that examines whether restricting how people can explore objects haptically effects the object attributes they notice and the efficiency with which they can perform a simple sorting task. 25 observers were each randomly assigned to one of five exploration conditions: two hands (the control), one hand, thumb/forefinger, one finger, or probe. All observers performed a series of two-bin sorts. Stimuli were eight multi-propertied cubes which could be divided into two equal bins according to three properties: size, texture, and compliance. Preliminary results indicate that the restrictions on manual exploration we imposed affected both the exploratory procedures observers chose to use and the efficiency with which they could perform the task. Haptic interface designs inevitably restrict the exploratory procedures available to the user. This study attempts to determine the cost of these restrictions on the efficiency with which a user can explore multi-propertied objects in a virtual or telepresence environment.


2007 ◽  
Vol 97 (2) ◽  
pp. 1288-1297 ◽  
Author(s):  
Leighton B. Hinkley ◽  
Leah A. Krubitzer ◽  
Srikantan S. Nagarajan ◽  
Elizabeth A. Disbrow

We explored cortical fields on the upper bank of the Sylvian fissure using functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) to measure responses to two stimulus conditions: a tactile stimulus applied to the right hand and a tactile stimulus with an additional movement component. fMRI data revealed bilateral activation in S2/PV in response to tactile stimulation alone and source localization of MEG data identified a peak latency of 122 ms in a similar location. During the tactile and movement condition, fMRI revealed bilateral activation of S2/PV and an anterior field, while MEG data contained one source at a location identical to the tactile-only condition with a latency of 96 ms and a second rostral source with a longer latency (136 ms). Furthermore, Region-of-interest analysis of fMRI data identified increased bilateral activation in S2/PV and the rostral area in the tactile and movement condition compared with the tactile only condition. An area of cortex immediately rostral to S2/PV in monkeys has been called the parietal rostroventral area (PR). Based on location, latency, and conditions under which this field was active, we have termed the rostral area of human cortex PR as well. These findings indicate that humans, like non-human primates, have a cortical field rostral to PV that processes proprioceptive inputs, both S2/PV and PR play a role in somatomotor integration necessary for manual exploration and object discrimination, and there is a temporal hierarchy of processing with S2/PV active prior to PR.


2013 ◽  
Vol 23 (02) ◽  
pp. 1350028 ◽  
Author(s):  
A. M. SELVAM

Atmospheric flows exhibit fractal fluctuations and inverse power law for power spectra indicates an eddy continuum structure for the self-similar fluctuations. A general systems theory for aerosol size distribution based on fractal fluctuations is proposed. The model predicts universal (scale-free) inverse power law for fractal fluctuations expressed in terms of the golden mean. Atmospheric particulates are held in suspension in the fractal fluctuations of vertical wind velocity. The mass or radius (size) distribution for homogeneous suspended atmospheric particulates is expressed as a universal scale-independent function of the golden mean, the total number concentration and the mean volume radius. Model predicted spectrum is compared with the total averaged radius size spectra for the AERONET (aerosol inversions) stations Davos and Mauna Loa for the year 2010 and Izana for the year 2009. There is close agreement between the model predicted and the observed aerosol spectra. The proposed model for universal aerosol size spectrum will have applications in computations of radiation balance of earth–atmosphere system in climate models.


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