Article
Mathematics, Applied
Christopher S. Withers, Saralees Nadarajah
Summary: A desirable property of a kernel used for density estimation is high order to reduce bias. This study shows how to choose coefficients a to construct a kernel function of at least order q. The coefficients a are obtained through calculation of mixed moments. A simulation study compares density estimates based on the proposed kernels to competitive methods, and the results show that the proposed methods have smaller biases and mean squared errors.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Neurosciences
Linus Manubens-Gil, Meritxell Pons-Espinal, Thomas Gener, Inmaculada Ballesteros-Yanez, Maria Martinez de Lagran, Mara Dierssen
Summary: This study examined the impact of Dyrk1A overexpression, a gene associated with Down syndrome, on hippocampal neuronal deficits in mice. The findings revealed that mice overexpressing Dyrk1A exhibited impaired recognition memory, disrupted excitation-inhibition balance, and deficits in long-term potentiation. Computational modeling suggested that these alterations resulted in reduced storage capacity and compromised integration of inputs. Environmental enrichment was found to be a potential therapeutic intervention, restoring balance and improving memory, but the effects were not sustained after discontinuation.
Article
Mathematics
Ho Nguyen Anh Tuan, Nguyen Truong Thinh
Summary: This research presents a mathematical-based approach for computational reconstruction of the human nose using images with anthropometric characteristics. The approach reconstructs the nasal baselines utilizing interpolation and Mesh adaptive direct search algorithms. A mathematical model is built, and experiments on nasal reconstruction are conducted. The evaluations demonstrate that the computer-reconstructed noses match the original ones in shape with minimum area errors.
Article
Computer Science, Software Engineering
Luiz Henrique de Figueiredo, Afonso Paiva
Summary: We present a straightforward approach to reconstructing plane regions from well-distributed point samples. Our method utilizes the sphere-of-influence diagram, which is derived from the Delaunay triangulation and sphere-of-influence graph. Experimental results demonstrate the effectiveness of our method in reconstructing regions from point clouds with varying shapes and densities, achieving competitive performance compared to other algorithms.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Neurosciences
A. D. Bird, L. H. Deters, H. Cuntz
Summary: The connectivity of cortical microcircuits plays a crucial role in brain function, with the spatial organization of inputs within dendrites impacting synaptic integration. A simple equation allows estimation of potential anatomical contacts between neurons, predicting the mean number of candidate synapses for reconstructed cells. Mature cortical data shows an excess of potential local connections, enabling specific innervation of distinct dendritic compartments.
Article
Biology
Yu Wang, Pu Hu, Qinghong Shan, Chuan Huang, Zhaohuan Huang, Peng Chen, Anan Li, Hui Gong, Jiang-Ning Zhou
Summary: This study used fluorescence micro-optical sectioning tomography to reveal the diverse morphologies of CRH neurons throughout the whole mouse brain and found morphological differences among different brain regions. Additionally, region-specific morphological distributions of CRH neurons at the dendrite level were observed, with different types of connections identified between CRH neurons in different brain regions.
Article
Computer Science, Software Engineering
Ziqi Xu, Chao Xu, Jing Hu, Zhaopeng Meng
Summary: This study improved the Screened Poisson Surface Reconstruction algorithm by using an adaptive bandwidth Gaussian kernel density estimator, which effectively removes noise and outliers in the reconstruction process.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Transportation
Jana Vackova, Marek Bukacek
Summary: This paper reviews commonly used methods and presents a general framework based on different kernel functions to improve the features of estimated pedestrian density. The developed framework considers each pedestrian as a source of density distribution and is parametrised by the kernel type and size. The quantitative study demonstrates that parametrisation brings desired features, and the correspondence between kernel and non-kernel methods can be achieved.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Biology
Rany Abend, Diana Burk, Sonia G. Ruiz, Andrea L. Gold, Julia L. Napoli, Jennifer C. Britton, Kalina J. Michalska, Tomer Shechner, Anderson M. Winkler, Ellen Leibenluft, Daniel S. Pine, Bruno B. Averbeck, Alexander Shackman
Summary: This study used computational models and structural imaging to investigate the links between threat learning, its neuroanatomical substrates, and anxiety severity. The results suggest that anxiety severity is specifically related to slower safety learning and slower extinction of response to safe stimuli.
Article
Multidisciplinary Sciences
Barbara Calabrese, Steven Jones, Yoko Yamaguchi-Shiraishi, Michael Lingelbach, Uri Manor, Tatyana M. Svitkina, Henry N. Higgs, Andy Y. Shih, Shelley Halpain
Summary: Ischemia and excess NMDA receptor activation cause actin to reorganize, protecting neurons from death induced by cell edema.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller
Summary: The international neuroscience community is developing comprehensive atlases of brain cell types using the theory of jets to improve mapping accuracy. They provide a framework to compute possible errors and demonstrate the effectiveness of their method in both simulated and real neuron traces.
Article
Cardiac & Cardiovascular Systems
Peter Hanna, Michael J. Dacey, Jaclyn Brennan, Alison Moss, Shaina Robbins, Sirisha Achanta, Natalia P. Biscola, Mohammed A. Swid, Pradeep S. Rajendran, Shumpei Mori, Joseph E. Hadaya, Elizabeth H. Smith, Stanley G. Peirce, Jin Chen, Leif A. Havton, Zixi (Jack) Cheng, Rajanikanth Vadigepalli, James Schwaber, Robert L. Lux, Igor Efimov, John D. Tompkins, Donald B. Hoover, Jeffrey L. Ardell, Kalyanam Shivkumar
Summary: This study provides an in-depth examination of the innervation of the sinoatrial node by the right atrial ganglionated plexus in porcine and human hearts. It demonstrates the significant phenotypic diversity of neurons in the ganglionated plexus and their role in modulating cardiac function. The findings suggest that intrinsic cardiac neurons play a crucial role in controlling specific regions of the heart and could pave the way for targeted therapies in the future.
CIRCULATION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Semih Akkurt, Freddie Witherden, Peter Vincent
Summary: This study investigates the performance improvement of Flux Reconstruction methods on modern hardware architectures using cache blocking. Compared to kernel fusion, cache blocking can benefit high-order CFD codes, although it may be simpler but requires sufficiently large CPU cache. In practice, new kernel grouping configurations can lead to approximately 2.81x performance gains.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Mathematics
Soobin Cho, Panki Kim, Renming Song, Zoran Vondracek
Summary: In this paper, sharp two-sided estimates are established for transition densities of a large class of subordinate Markov processes. As applications, the parabolic Harnack inequality and Holder regularity for such processes are shown, and sharp two-sided Green function estimates are derived.
JOURNAL OF DIFFERENTIAL EQUATIONS
(2022)
Article
Clinical Neurology
Jorge Arriagada-Diaz, Carolina Flores-Munoz, Barbara Gomez-Soto, Marjorie Labrana-Allende, Michelle Mattar-Araos, Lorena Prado-Vega, Fernando Hinostroza, Ivana Gajardo, Maria Jose Guerra-Fernandez, Jorge A. Bevilacqua, Ana M. Cardenas, Marc Bitoun, Alvaro O. Ardiles, Arlek M. Gonzalez-Jamett
Summary: This study investigates the effect of the dynamin-2 p.R465W mutation on CNS function and suggests that it disrupts synaptic and cognitive function. The mutation leads to changes in neuronal morphology and impaired excitatory synaptic transmission.
NEUROPATHOLOGY AND APPLIED NEUROBIOLOGY
(2023)
Article
Neurosciences
Cagri Yalgin, Saman Ebrahimi, Caroline Delandre, Li Foong Yoong, Saori Akimoto, Heidi Tran, Reiko Amikura, Rebecca Spokony, Benjamin Torben-Nielsen, Kevin P. White, Adrian W. Moore
NATURE NEUROSCIENCE
(2015)
Article
Computer Science, Artificial Intelligence
Willem A. M. Wybo, Daniele Boccalini, Benjamin Torben-Nielsen, Marc-Oliver Gewaltig
NEURAL COMPUTATION
(2015)
Article
Computer Science, Cybernetics
Willem A. M. Wybo, Klaus M. Stiefel, Benjamin Torben-Nielsen
BIOLOGICAL CYBERNETICS
(2013)
Article
Computer Science, Artificial Intelligence
Ben Torben-Nielsen, Karl Tuyls, Eric Postma
Editorial Material
Computer Science, Interdisciplinary Applications
Benjamin Torben-Nielsen
Article
Mathematical & Computational Biology
Benjamin Torben-Nielsen, Klaus M. Stiefel
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2010)
Article
Anatomy & Morphology
Benjamin Torben-Nielsen, Erik De Schutter
FRONTIERS IN NEUROANATOMY
(2014)
Article
Biochemical Research Methods
Benjamin Torben-Nielsen, Klaus M. Stiefel
PLOS COMPUTATIONAL BIOLOGY
(2010)
Article
Biochemical Research Methods
Benjamin Torben-Nielsen, Idan Segev, Yosef Yarom
PLOS COMPUTATIONAL BIOLOGY
(2012)
Article
Biochemical Research Methods
Jonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev, Shihab Shamma
PLOS COMPUTATIONAL BIOLOGY
(2014)
Article
Mathematical & Computational Biology
Heraldo Memelli, Benjamin Torben-Nielsen, James Kozloski
FRONTIERS IN NEUROINFORMATICS
(2013)
Article
Neurosciences
Klaus M. Stiefel, Benjamin Torben-Nielsen, Jay S. Coggan
FRONTIERS IN NEUROSCIENCE
(2013)
Meeting Abstract
Biochemistry & Molecular Biology
G. Ginosar, B. Torben-Nielsen, I Segev
JOURNAL OF MOLECULAR NEUROSCIENCE
(2012)
Article
Biology
Richard Reeve, Andre van Schaik, Craig Jin, Tara Hamilton, Ben Torben-Nielsen, Barbara Webb