Preprints (not yet peer-reviewed)

86 downloads
238 views

Language and music are peculiar human behaviors. We spend a large portion of our lives speaking, reading, processing speech, performing music and listening to tunes. At the same time, we still know very little as to why and how these structured behaviors emerged...

["Anthropology","Evolutionary Studies","Neuroscience","Psychiatry and Psychology","Computational Science"]
doi:10.7287/peerj.preprints.3366v1
60 downloads
209 views

In studies of human movement control, an important question is how the central nervous system (CNS) controls movements in the presence of a large number of degrees of freedom (DoFs) at all levels of the control architecture. It is known that CNS groups the multiple...

["Bioengineering","Neuroscience","Kinesiology","Computational Science"]
doi:10.7287/peerj.preprints.3080v1
149 downloads
1,246 views

Background. The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435);...

["Bioengineering","Neuroscience","Kinesiology","Computational Science"]
doi:10.7287/peerj.preprints.2888v1
306 downloads
746 views

The growth of the software industry has gone hand in hand with the development of tools and cultural practices for ensuring the reliability of complex pieces of software. These tools and practices are now acknowledged to be essential to the management of modern...

["Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.1315v2
134 downloads
877 views

The goal of this study was to create a public data set with results of qualitative and quantitative evaluations related to human balance. Subject’s balance was evaluated by posturography using a force platform and by the Mini Balance Evaluation Systems Tests. In...

["Bioengineering","Neuroscience","Kinesiology","Computational Science"]
doi:10.7287/peerj.preprints.2162v1
1,045 downloads
276 views

Propelled by recent advances in biologically-inspired computer vision and artificial intelligence, the past five years have seen significant progress in using deep neural networks to model response patterns of neurons in higher visual cortical areas. In this paper,...

["Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.1881v1
70 downloads
196 views

The attractor method and some of its applications are presented. We start with the original research question “How to diagnose fatigue (fatigability) in MS patients reliably”. So far a decisive method to discriminate between non-fatiguing and marginal fatiguing...

["Biophysics","Neuroscience","Kinesiology","Computational Science"]
doi:10.7287/peerj.preprints.1822v1
444 downloads
245 views

This study combines experimental and modeling approaches in order to investigate the temporal dynamics of the human brain at rest. The dynamics of the neuronal activity is modeled with FitzHugh-Nagumo oscillators and the blood-oxygen-level-dependent (BOLD) time...

["Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.1784v1
149 downloads
317 views

Background: Ketamine has been reported to have efficacy as an antidepressant in several studies of treatment-resistant depression. In this study, we investigate whether an acute administration of ketamine leads to reductions in the functional connectivity of subgenual...

["Neuroscience","Psychiatry and Psychology","Radiology and Medical Imaging","Computational Science"]
doi:10.7287/peerj.preprints.1436v1
507 downloads
626 views

Retrieving the hemodynamic response function (HRF) in fMRI data is important for several reasons. Apart from its use as a physiological biomarker, HRF can act as a confounder in connectivity studies. In task-based fMRI is relatively straightforward to retrieve...

["Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.1317v1
161 downloads
444 views

Background: Datasets consisting of synthetic neural data generated with quantifiable and controlled parameters are a valuable asset in the process of testing and validating directed connectivity metrics. Considering the recent debate in the neuroimaging community...

["Biophysics","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.737v1
289 downloads
348 views

A common goal in biological sciences is to model a complex web of connections using a small number of interacting units. We present a general approach for dividing up elements in a spatial map based on their connectivity properties, allowing for the discovery of...

["Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.709v1
634 downloads
1,232 views

Aim: In recent years, connectivity studies using neuroimaging data have increased the understanding of the organization of large-scale structural and functional brain networks. However, data analysis is time consuming as rigorous procedures must be assured, from...

["Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.699v1
212 downloads
294 views

Consciousness is simple by definition, and complex by extension. For the first time we may have a look into some of the complexities of Human Consciousness, and how they may have accreted to core consciousness over millenia. From a Core Consciousness that can be...

["Neuroscience","Psychiatry and Psychology","Computational Science"]
doi:10.7287/peerj.preprints.518v1
165 downloads
463 views

There is an interface between priming memory and working memory that acts to limit the amount of data in working memory, and also allows priming memory to be actively maintained so that memories stay intact while they are in working memory. This interface converts...

["Neuroscience","Psychiatry and Psychology","Computational Science"]
doi:10.7287/peerj.preprints.41v1
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