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Polish poster: Avenir math fonts, balanced layout, larger figures, styled ref/ack boxes
- Replace KaTeX CDN fonts with Avenir via HTML post-processing - Pass math: katex through poster frontmatter to enable KaTeX rendering - Enclose References and Acknowledgments in styled callout boxes - Prevent awkward text wrapping around parenthetical expressions - Increase emoji figure and flow diagram sizes - Add Background box to Introduction, rebalance grid layout (10 rows) - Tune per-section scale factors for zero overflow across all 7 sections - Update poster screenshot
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‎.gitignore‎

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# Compiled example output (themes/images are copied during compile)
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examples/themes/
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examples/images/
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examples/*.html
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# macOS
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.DS_Store

‎docs/screenshots/poster-sample-v2.png‎

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‎examples/sample_poster.md‎

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marp: true
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theme: cdl-poster
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size: A0
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math: katex
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---
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```poster-layout
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TTTTTTTTTTTTTTTTTTTTTTTTTTTT
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IIIIIIIIMMMMMMMMMMMMRRRRRRRR
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IIIIIIIIMMMMMMMMMMMMRRRRRRRR
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IIIIIIIIMMMMMMMMMMMMRRRRRRRR
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IIIIIIIIMMMMMMMMMMMMRRRRRRRR
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CCCCCCCCDDDDDDDDDDDDRRRRRRRR
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CCCCCCCCDDDDDDDDDDDDRRRRRRRR
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CCCCCCCCDDDDDDDDDDDDRRRRRRRR
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CCCCCCCCDDDDDDDDDDDDRRRRRRRR
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IIIIIIIIRRRRRRRRRRRRDDDDDDDD
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IIIIIIIIRRRRRRRRRRRRDDDDDDDD
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IIIIIIIIRRRRRRRRRRRRDDDDDDDD
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IIIIIIIIRRRRRRRRRRRRDDDDDDDD
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IIIIIIIIRRRRRRRRRRRRDDDDDDDD
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MMMMMMMMRRRRRRRRRRRRDDDDDDDD
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MMMMMMMMRRRRRRRRRRRRDDDDDDDD
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MMMMMMMMRRRRRRRRRRRREEEEAAAA
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MMMMMMMMRRRRRRRRRRRREEEEAAAA
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```
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## T: Your poster title goes here
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## A brief subtitle that captures the main finding or question
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**Author One**¹, **Author Two**², **Author Three**¹ | corresponding.author@dartmouth.edu
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**Author One**¹, **Author Two**¹², **Author Three**²
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¹ Dartmouth College | ² Collaborating Institution
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¹ Department of Psychological and Brain Sciences, Dartmouth College | ² Collaborating Institution
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## I: Introduction and motivation [blue]
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## I: Introduction and motivation
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<div class="scale-80">
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<div class="note-box" data-title="Orient your audience">
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Start with the **broad question** your research addresses. Why should the reader care? Narrow from the big picture to your specific contribution in 3–5 sentences.
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Start with the **broad question** your research addresses and narrow to your specific contribution in 3–5 sentences. Explain why this topic matters and what gap in current knowledge your work fills.
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</div>
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<div class="note-box" data-title="What to include">
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<div class="emoji-figure">
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-blue">🔬</span>
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<span class="label">Phenomenon</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-green">❓</span>
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<span class="label">Open question</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-orange">💡</span>
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<span class="label">Your approach</span>
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</div>
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</div>
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<div class="note-box" data-title="Research question">
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State your specific **hypothesis** or research question. Use a figure instead of a paragraph wherever possible.
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- The **big-picture problem** your work addresses
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- Why existing approaches fall short
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- Your specific **research question** or hypothesis
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- A visual or diagram that captures the core idea
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- **Hypothesis 1**: Feature X correlates with Y
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- **Hypothesis 2**: Intervention Z modulates this relationship
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</div>
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<div class="note-box" data-title="Less is more">
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<div class="note-box" data-title="Background">
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Aim for **minimal text** and **maximal visual impact**. A reader should grasp your motivation in under 30 seconds. Use a figure instead of a paragraph wherever possible.
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Summarize **prior work** that motivates your study and explain how your approach advances the field.
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</div>
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## M: Methods
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</div>
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## M: Methods [violet]
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<div class="scale-75">
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<div class="definition-box" data-title="Experimental design">
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Describe your **paradigm** concisely: number of participants, key conditions, stimuli, and procedure. A flow diagram is ideal here.
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Describe your **paradigm**: participants ($N=50$), conditions (within-subject), stimuli (naturalistic video), and procedure.
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</div>
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<div class="definition-box" data-title="Analysis pipeline">
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<div class="flow-diagram">
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<span class="flow-box flow-blue">Design</span>
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<span class="flow-arrow">→</span>
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<span class="flow-box flow-green">Record</span>
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<span class="flow-arrow">→</span>
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<span class="flow-box flow-orange">Process</span>
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<span class="flow-arrow">→</span>
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<span class="flow-box flow-purple">Analyze</span>
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</div>
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Show your pipeline as a visual flow: **collection → preprocessing → modeling → validation**. A diagram works best here.
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<div class="definition-box" data-title="Analysis approach">
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</div>
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Describe the key statistical or computational methods. Prefer a **diagram** over dense notation.
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<div class="definition-box" data-title="Figures over formulas">
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- **Preprocessing**: fMRIPrep v20.2.1
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- **Modeling**: GLM with custom regressors
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- **Inference**: Non-parametric permutation tests
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Prefer **diagrams and flowcharts** over dense notation. Limit to one or two key formulas at most.
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</div>
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<div class="emoji-figure">
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-blue">🐍</span>
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<span class="label">Python</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-green">🧠</span>
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<span class="label">Neuroimaging</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-orange">📊</span>
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<span class="label">Visualization</span>
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</div>
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<div class="definition-box" data-title="Tools and code">
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</div>
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List key software and libraries used. If your code is open source, include a link or QR code to the repository.
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## R: Results [green]
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</div>
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<div class="example-box" data-title="Primary finding">
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## R: Results
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Lead with your **most critical result**. Every figure should have a clear, self-explanatory takeaway.
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<div class="example-box" data-title="Tell a story with your data">
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> **Significant interaction found between Condition&nbsp;A and B** <span style="white-space:nowrap;">**($p < 0.001$).**</span>
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Lead with your **most critical result** first, then provide supporting evidence. Every figure should have a clear, self-explanatory takeaway message.
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</div>
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<div class="emoji-figure">
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-green">✓</span>
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<span class="label">Condition A</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-blue">✓</span>
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<span class="label">Condition B</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-orange">✗</span>
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<span class="label">Control</span>
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</div>
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<div class="example-box" data-title="Figure 1: Main result">
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<div style="text-align: center; white-space: nowrap;">
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Place your **primary finding** here. The figure should be self-explanatory — a reader should understand the key message without reading surrounding text.
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$$\hat{y} = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \epsilon, \quad R^2 = 0.73$$
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</div>
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<div class="example-box" data-title="Figure 2: Supporting evidence">
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<div class="example-box" data-title="Supporting evidence">
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Additional results that **support or extend** your main finding. Use tables for quantitative comparisons, or multi-panel figures for consistency across conditions.
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Use tables for quantitative comparisons across conditions:
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<div class="example-box" data-title="Statistical reporting">
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| Measure | Group A | Group B | Group C | *p*-value |
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|---------|---------|---------|---------|-----------|
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| Accuracy | 0.89 | 0.72 | 0.65 | < 0.01 |
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| RT (ms) | 342 | 418 | 450 | < 0.05 |
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| F1 Score | 0.85 | 0.68 | 0.60 | < 0.01 |
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Report key statistics concisely. Use a small **table** for multiple comparisons, or annotate figures directly with significance markers.
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<div class="example-box" data-title="Generalization">
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Show that findings **replicate** across datasets or participant groups to strengthen impact.
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</div>
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<div class="emoji-figure">
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-green">📊</span>
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<span class="label">Dataset 1</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-blue">📊</span>
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<span class="label">Dataset 2</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-purple">📊</span>
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<span class="label">Dataset 3</span>
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</div>
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<div class="example-box" data-title="Common pitfall">
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<div class="example-box" data-title="Robustness check">
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Don't overcrowd this section. **Two or three well-designed figures** are far more effective than five cramped ones. Leave white space for visual breathing room.
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We verified our results using cross-validation <span style="white-space:nowrap;">(k&nbsp;=&nbsp;5)</span> and bootstrap resampling <span style="white-space:nowrap;">(1000 iterations).</span> The effect size remains stable <span style="white-space:nowrap;">(Cohen's d&nbsp;=&nbsp;0.8).</span>
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<div class="example-box" data-title="Figure 3: Replication">
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If applicable, show that your findings **generalize** across datasets, conditions, or participant groups. This strengthens the impact of your main result.
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## D: Discussion [teal]
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</div>
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<div class="scale-75">
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## C: Conclusions and future directions
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<div class="tip-box" data-title="Key takeaways">
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<div class="tip-box" data-title="Summary of findings">
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Summarize your **main findings** and connect them back to the original research question.
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Restate your **key findings** in 2–3 bullet points. Connect them back to the motivating question from the introduction.
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- **Finding 1**: Model outperforms baseline by 15%, supporting Hypothesis 1.
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- **Finding 2**: Effect is robust to parameter variations and generalizes across datasets.
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- **Finding 3**: Results suggest a new cognitive control mechanism consistent with prior theoretical accounts.
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<div class="tip-box" data-title="Broader impact">
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<div class="tip-box" data-title="Implications">
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Explain **why these findings matter** for the broader field.
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Explain why your findings **matter** beyond the specific experiment — theoretical, clinical, or practical implications.
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- Provides evidence for predictive coding frameworks in perception.
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- Challenges existing models that assume static representations.
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- Opens new avenues for computational psychiatry applications.
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<div class="tip-box" data-title="Limitations">
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<div class="emoji-figure">
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-blue">🔍</span>
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<span class="label">Current work</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-green">🚀</span>
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<span class="label">Next steps</span>
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</div>
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<div class="emoji-col">
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<span class="emoji emoji-xl emoji-bg emoji-bg-orange">🌐</span>
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<span class="label">Broader impact</span>
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</div>
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</div>
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Acknowledge **limitations** honestly and note how future work might address them.
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<div class="tip-box" data-title="Limitations and future work">
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</div>
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Acknowledge **limitations** honestly and describe planned follow-ups.
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<div class="tip-box" data-title="Future directions">
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- Sample limited to college-age participants; generalization needed.
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- Future work: longitudinal designs, larger and more diverse cohorts.
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- Next experiments you plan to run
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- Extensions of the current approach
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- Open questions raised by your findings
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</div>
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## D: References and acknowledgments
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## E: References [orange]
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<div class="scale-50">
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<div class="warning-box" data-title="Selected references">
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<div class="warning-box" data-title="References">
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1. Author A, Author B (2023). *J. Neurosci.* 1:1-10.
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2. Author C, Author D (2022). *Nat. Hum. Behav.* 5:100-110.
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3. Author E, Author F (2021). *Psychol. Rev.* 128:500-520.
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4. Author G, Author H (2020). *JMLR* 21:1-15.
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Include **5–10 key citations** most relevant to your work. Use a numbered list with abbreviated journal names. Prioritize citations the reader might actually look up.
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<div class="warning-box" data-title="Acknowledgments and funding">
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## A: Acknowledgments [spring]
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<div class="scale-55">
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<div class="tip-box" data-title="Funding and links">
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Thank funding agencies (with grant numbers), collaborators, and lab members. Mention shared resources and institutional support.
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**NSF EPSCoR** #1632738
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**NIH R01** MH112357
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**NSF CAREER** #1849109
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🌐 context-lab.com
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💻 github.com/ContextLab
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📂 osf.io/example
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**Contact**: your.email@dartmouth.edu | **Web**: context-lab.com | **Code**: github.com/ContextLab
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</div>

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