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Bibliographies

26

1 An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience

2 Intrinsic motivation, Need for cognition, Grit, Growth Mindset and Academic Achievement in High School Students: Latent Profiles and Its Predictive Effects

3 Separating minimal from radical embodied cognitive neuroscience

4 Information thermodynamics: from physics to neuroscience

5 What can a mathematician do in neuroscience?

6 Clarifying the conceptual dimensions of representation in neuroscience

7 Launching Your VR Neuroscience Laboratory

8 Causality in cognitive neuroscience: concepts, challenges, and distributional robustness

9 Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models

10 Definition of Cybernetical Neuroscience

11 A Paradigm Shift in Human Neuroscience Research: Progress, Prospects, and a Proof of Concept for Population Neuroscience

12 Teaching Computational Neuroscience

13 Ordinal Characterization of Similarity Judgments

14 Is neuroscience facing up to statistical power?

15 A Philosophical Understanding of Representation for Neuroscience

16 An introduction to reinforcement learning for neuroscience

17 Network models in neuroscience

18 BrainKnow -- Extracting, Linking, and Synthesizing Neuroscience Knowledge

19 Network neuroscience and the connectomics revolution

20 A perspective on neuroscience data standardization with Neurodata Without Borders

21 Biological detail and graph structure in network neuroscience

22 The Roles of Supervised Machine Learning in Systems Neuroscience

23 Reconstruction of Partial Dissimilarity Matrices for Cognitive Neuroscience

24 An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience

25 Recommendations for repositories and scientific gateways from a neuroscience perspective

26 A Dynamical Cartography of the Epistemic Diffusion of Artificial Intelligence in Neuroscience