Scheme of hippocampal detection and prediction of MTLE with the hippocampus as the epileptogenic area. حسب Kyoya Sakashita (14670611)

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Diagnostic accuracy of artificial intelligence & neurosurgeons. حسب Kyoya Sakashita (14670611)

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Scheme of the convolutional neural network. حسب Kyoya Sakashita (14670611)

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Validation data set. حسب Kyoya Sakashita (14670611)

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Image processing. حسب Kyoya Sakashita (14670611)

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Flow chart for the diagnosis of MTLE with hippocampal epileptogenic area by artificial intelligence (AI) and board-certified neurosurgeons. حسب Kyoya Sakashita (14670611)

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The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

"…However, existing BCI frameworks face several limitations, including a lack of stage-wise flexibility essential for experimental research, steep learning curves for researchers without programming expertise, elevated costs due to reliance on proprietary software, and a lack of all-inclusive features leading to the use of multiple external tools affecting research outcomes. …"

Left schematic of the XOR gate implementation [11]. حسب Fabricio Cravo (21387854)

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Simulated dynamics of the Mutual Annihilation protocol [26]. حسب Fabricio Cravo (21387854)

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Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11]. حسب Fabricio Cravo (21387854)

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(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. حسب Fabricio Cravo (21387854)

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Results obtained from the Bistable Gut Inflammation Detector model. حسب Fabricio Cravo (21387854)

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Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5]. حسب Fabricio Cravo (21387854)

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Matching products with reactants for the example meta-reaction where S1 and S2 are distinct meta-species. حسب Fabricio Cravo (21387854)

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Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28]. حسب Fabricio Cravo (21387854)

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Data_Sheet_1_THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.pdf حسب Lukas Muttenthaler (11466658)

"…THINGSvision is a new Python module that aims at closing this gap by providing a simple and unified tool for extracting layer activations for a wide range of pretrained and randomly-initialized neural network architectures, even for users with little to no programming experience. …"

Main window of Cardio PyMEA graphical user interface. حسب Christopher S. Dunham (12239618)

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Beat detection results for an MEA-plated cardiomyocyte culture. حسب Christopher S. Dunham (12239618)

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‘Powerlaw Distribution Comparison’ window. حسب Christopher S. Dunham (12239618)

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‘Find Beats Results’ window. حسب Christopher S. Dunham (12239618)

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