Results 91 to 100 of about 2,017,547 (269)

Vesicle and reaction-diffusion hybrid modeling with STEPS

Communications Biology
Vesicles carry out many essential functions within cells through the processes of endocytosis, exocytosis, and passive and active transport. This includes transporting and delivering molecules between different parts of the cell, and storing and ...
Iain Hepburn, Jules Lallouette, Weiliang Chen, Andrew R. Gallimore, Sarah Y. Nagasawa-Soeda, Erik De Schutter   +5 more
doaj   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Generic decoding of seen and imagined objects using hierarchical visual features

Nature Communications, 2017
Machine learning algorithms can decode objects that people see or imagine from their brain activity. Here the authors present a predictive decoder combined with deep neural network representations that generalizes beyond the training set and correctly ...
Tomoyasu Horikawa, Yukiyasu Kamitani
doaj   +1 more source

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

Advanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan, Maria Fratello, Francesca Bonini, Samuel Medina Villalon, Zhengchen Cai, Jean‐Marc Lina, Jean‐Michel Badier, Fabrice Bartolomei, Jean Gotman, Christian G. Bénar, Christophe Grova   +10 more
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Structural plasticity controlled by calcium based correlation detection

Frontiers in Computational Neuroscience, 2008
Hebbian learning in cortical networks during development and adulthood relies on the presence of a mechanism to detect correlation between the presynaptic and the postsynaptic spiking activity.
Moritz Helias, Moritz Helias, Stefan Rotter, Stefan Rotter, Marc-Oliver Gewaltig, Marc-Oliver Gewaltig, Markus Diesmann, Markus Diesmann, Markus Diesmann   +8 more
doaj   +1 more source

Structural Polymorphism of polyG Inclusions Revealed by In Situ Cryo‐Electron Tomography

Advanced Science, EarlyView.
Correlative cryo‐electron tomography in primary cortical neurons and NIID mouse brain tissue reveals that polyG inclusions are interconnected ribbon‐like assemblies rather than canonical amyloid fibrils. Multiple compartment‐specific ribbon states show distinct 26S proteasome accessibility, while cytoplasmic ribbons contact and deform ER‐like ...
Yunwen Qian, Yalan Wan, Chen Chen, Xiaoyu Zheng, Wenjing Du, Junhan Yang, Zhihao Quan, Biyu Yang, Jiaxi Yu, Jie Zheng, Zhaoxia Wang, Jianwen Deng, Qiang Guo   +12 more
wiley   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

Advanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Elric Zhang, Hao Ye, Marta Bonato, Joana Covelo, Vitaly Pustovalov, Anton Guimera‐Brunet, Xavi Illa, Valentin Gantenbein, Cagatay M. Oral, Marta Parazzini, Salvador Pané, Maria V. Sanchez‐Vives   +13 more
wiley   +1 more source

Rapid odor processing in the honeybee antennal lobe network

Frontiers in Computational Neuroscience, 2009
In their natural environment, many insects need to identify and evaluate behaviorally relevant odorants on a rich and dynamic olfactory background. Behavioral studies have demonstrated that bees recognize learned odors within less than 200ms, indicating ...
Sabine Krofczik, Sabine Krofczik, Randolf Menzel, Randolf Menzel, Martin P Nawrot, Martin P Nawrot   +5 more
doaj   +1 more source

Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models [PDF]

The diversity of modeling approaches in computational neuroscience makes model sharing, retrieval, reuse and reproducibility difficult and even sometimes impossible.
Larson, Stephen D, De Schutter, Erik, Schwabe, Lars, Ray, Subhasis, Le Franc, Yann, Imam, Fahim T, Davison, Andrew P, Gleeson, Padraig, Kriener, Birgit, Hill, Sean   +9 more
core   +1 more source