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2024-04-17
12:14

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2024-04-09
17:30
[FZJ-2024-02520] Preprint
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NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
arXiv () [10.48550/ARXIV.2304.04640]
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. [...]
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2024-04-08
19:53
OpenAccess [FZJ-2024-02366] Preprint
; ; ; et al
Enhancing Cognitive Performance Prediction through White Matter Hyperintensity Disconnectivity Assessment: A Multicenter Lesion Network Mapping Analysis of 3,485 Memory Clinic Patients
Introduction: White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating cognitive health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH to these deficits remain unclear. [...]
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2024-04-08
18:59
OpenAccess [FZJ-2024-02365] Preprint
; ; ; et al
Transport mechanism of DgoT, a bacterial homolog of SLC17 organic anion transporters
The solute carrier 17 (SLC17) family contains anion transporters that accumulate neurotransmitters in secretory vesicles, remove carboxylated monosaccharides from lysosomes, or extrude organic anions from the kidneys and the liver. We combined experimental and computational approaches to describe the transport mechanisms of a model bacterial protein, the D-galactonate transporter DgoT, at atomic resolution. [...]
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2024-04-08
18:54
OpenAccess [FZJ-2024-02364] Preprint
; ; ; et al
Calcium-driven In Silico Inactivation of a Human Olfactory Receptor
Conformational changes as well as molecular determinants related to the activation and inactivation of olfactory receptors are still poorly understood due to the intrinsic difficulties in the structural determination of this GPCR family. Here, we perform, for the first time, the in silico inactivation of the human olfactory receptor OR51E2, highlighting the possible role of calcium in this receptor state transition. [...]
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2024-04-08
18:51
OpenAccess [FZJ-2024-02363] Preprint
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Machine Learning-based Modeling of Olfactory Receptors in their Inactive State: Human OR51E2 as a Case Study
Atomistic-level investigation of olfactory receptors (ORs) is a challenging task due to the experimental/computational difficulties in the structural determination/prediction for members of this family of G-protein coupled receptors. Here we have developed a protocol that performs a series of molecular dynamics simulations from a set of structures predicted de novo by recent machine learning algorithms and apply it to a well-studied receptor, the human OR51E2. [...]
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2024-03-27
13:29
OpenAccess [FZJ-2024-02114] Preprint
; ; ; et al
Phase stability and defect studies of Mg-based Laves phases using defect phase diagrams
Phase stability and defect studies of Mg-based Laves phases using defect phase diagrams 2023(03), 09576v1 () [10.48550/arXiv.2303.09576]
Laves phases often form as secondary phases in metallic alloys and have a significant effect on their structural properties. Thus, phase stability studies for these chemically and structurally complex phases in addition to mechanical behavior studies are of great interest [...]
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2024-03-25
07:38
OpenAccess [FZJ-2024-02062] Preprint
; ; ; et al
MULTIMODAL GRADIENTS UNIFY LOCAL AND GLOBAL CORTICAL ORGANIZATION
Specialization of brain areas and subregions, as well as their integration into large-scale networks are key principles in neuroscience. Consolidating both local and global cortical organization, however, remains challenging. [...]
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2024-03-21
10:41

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2024-03-15
12:38
OpenAccess [FZJ-2024-01958] Preprint
; ; ; et al
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture
arXiv () [10.48550/ARXIV.2311.09672]
Scientific research demands reproducibility and transparency, particularly in data-intensive fields like electrophysiology. Electrophysiology data is typically analyzed using scripts that generate output files, including figures. [...]
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