Preprints (not yet peer-reviewed)

137 downloads
191 views

Possible combinations of inputs in the order of 10100 can fire (axonal spike or action potential) a neuron that has nearly 104 inputs (dendritic spines). This extreme degeneracy of inputs that can fire a neuron is associated with significant loss of information...

["Biophysics","Computational Biology","Neuroscience","Cognitive Disorders","Computational Science"]
doi:10.7287/peerj.preprints.27228v3
12 downloads
69 views

Modern computing systems are generally based on embedded smart agents. They are introduced as a new trend of computing paradigm; in which we can define smart entities in software system or robotic machines. This modern trend of technology calls for new approaches...

["Computational Science"]
doi:10.7287/peerj.preprints.27239v1
87 downloads
188 views

Invertebrates make up 97-99% of biodiversity on Earth and contribute to multiple ecosystem services (ES) in both natural and human-dominated systems. One such service, biological control (BC) of herbivorous pests, is a core component of sustainable intensification...

["Agricultural Science","Ecology","Computational Science","Coupled Natural and Human Systems","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27238v1
285 downloads
273 views

In the fifty years since Evarts first recorded single neurons in motor cortex of behaving monkeys, great effort has been devoted to understanding their relation to movement. Yet these single neurons exist within a vast network, the nature of which has been largely...

["Bioengineering","Neuroscience","Computational Science","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27217v1
41 downloads
123 views

In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full stack, and, in particular, its configuration for application assembly by code injection. The opportunity,...

["Bioinformatics","Epidemiology","Public Health","Computational Science","Data Science"]
doi:10.7287/peerj.preprints.27209v1
8,107 downloads
13,001 views

Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this paper offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses....

["Computational Biology","Science and Medical Education","Statistics","Computational Science","Data Science"]
doi:10.7287/peerj.preprints.3183v2
32 downloads
76 views

In 2008 the Geomorphometry book was published after several years of work on it. 10 years have passed since the book has been published, many more years since the early work of the grandfathers of this domain. One of the key definition in the book was the following:...

["Computational Science","Data Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27157v1
55 downloads
80 views

Physically-based distributed hydrological models have always played an important role in watershed hydrology. Existing hydrological modeling applications focused more on the estimation of water balance and less on the simulation of water transportation in a catchment....

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27155v1
40 downloads
73 views

The Bertalanffy-Pütter growth model describes mass m at age t by means of the differential equation dm/dt = p⋅ma−q⋅mb. The special case using the Bertalanffy exponent-pair a=2/3 and b=1 is most common (it corresponds to the von Bertalanffy growth function VBGF...

["Aquaculture, Fisheries and Fish Science","Computational Biology","Marine Biology","Mathematical Biology","Computational Science"]
doi:10.7287/peerj.preprints.27152v1
121 downloads
291 views

This paper investigates the use of random forests and spatial random forests (RFsp) for the classification of coastal dune areas along 41km of Lake Michigan’s shoreline using a lidar- derived DEM. Terrain variables across a range of spatial neighborhood scales...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27112v1
88 downloads
159 views

Surface roughness is frequently measured using DEMs to characterize the ruggedness and topographic complexity of landscapes. Roughness maps have been applied in geological mapping, ecological modeling, and other environmental applications. These maps are typically...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27110v1
84 downloads
137 views

Megaflooding generated from Glacial Lake Missoula (GLM) during the late Pleistocene, swept across the Columbia Plateau and Columbia Basin regions of the northwestern U.S., producing the Channeled Scabland, an assemblage of landforms comprising a regional anastomosing...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27107v1
107 downloads
219 views

To answer geomorphological questions at unprecedented spatial and temporal scales, we need to (a) parse terabyte-scale datasets (DEMs), (b) perform millions of model realizations to pinpoint the parameters which govern landscape evolution, and (c) do so with statistical...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27099v1
71 downloads
136 views

Landslides, bifurcations, multi-saddles and remnants of terraces are distinctive landforms. Some points on the surfaces of these objects are degenerate points. This may help us with their automatic recognition and identification. All first-order and second-order...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27097v1
149 downloads
407 views

The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental...

["Animal Behavior","Bioinformatics","Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.26734v2
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