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Titlebook: Neural Connectomics Challenge; Demian Battaglia,Isabelle Guyon,Jordi Soriano Book 2017 Springer International Publishing AG 2017 Neuronal

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41#
發(fā)表于 2025-3-28 17:31:52 | 只看該作者
First Connectomics Challenge: From Imaging to Connectivity, prizes. The winners significantly outperformed the baseline method provided by the organizers. To measure influences between neurons the participants used an array of diverse methods, including transfer entropy, regression algorithms, correlation, deep learning, and network deconvolution. The devel
42#
發(fā)表于 2025-3-28 18:50:24 | 只看該作者
Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model,re modality or the two feature modalities combined. Subpopulations of neurons were also identified that had better reconstruction accuracy when modeled with features from single modalities. This study demonstrates the feasibility of spike train reconstruction in DLS neurons and provides insights int
43#
發(fā)表于 2025-3-29 02:06:24 | 只看該作者
2520-131X ce problems. The content is also suitable for the machine learning community because it exemplifies how to approach the same problem from different perspectives..978-3-319-85054-2978-3-319-53070-3Series ISSN 2520-131X Series E-ISSN 2520-1328
44#
發(fā)表于 2025-3-29 03:39:16 | 只看該作者
Lukasz Romaszkod coexistence of different standards puts overall throughput at risk. ..The management of flexibility risks bringing about intolerable complexity and hamper the desired agility. A systematic approach, consistin978-94-007-3597-2978-94-007-1278-2Series ISSN 1860-4862 Series E-ISSN 1860-4870
45#
發(fā)表于 2025-3-29 11:03:02 | 只看該作者
Javier Orlandi,Bisakha Ray,Demian Battaglia,Isabelle Guyon,Vincent Lemaire,Mehreen Saeed,Alexander S
46#
發(fā)表于 2025-3-29 15:08:28 | 只看該作者
47#
發(fā)表于 2025-3-29 15:40:59 | 只看該作者
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