Merge branch 'research-tmp' into staging

Author: neural-loop

archetypes/research-papers.md

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+---
+title: "{{ replace .Name "-" " " | title }}" # Title of the research resource
+date: {{ .Date }}
+description: "A brief, compelling summary of this research paper and its key findings."
+draft: true
+type: "research-papers"
+
+# --- Resource Details ---
+# The primary link to the resource (e.g., arXiv, journal, GitHub repo)
+resource_link: "https://example.com/link-to-resource"
+# List of authors. Match with contributor profiles if they exist.
+author:
+  - "Author One"
+  - "Author Two"
+
+# Publication details (optional)
+publication_venue: "Journal or Conference Name, Year"
+doi: "10.xxxx/journal.xxxx.xxxx"
+
+# --- Community Review Details ---
+review_date: "{{ .Date }}"
+onr_badge: true # Signifies it has passed the ONR review
+---
+
+## Abstract
+A concise abstract of the paper. This should provide a clear overview of the research objectives, methods, results, and conclusions.
+
+## Resource Overview
+A more detailed overview of the resource. Explain its significance to the neuromorphic community, what problems it solves, and how others can use or build upon it.

content/blog/announcing-the-onr-program/img.png

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+---
+title: "Announcing Open Neuromorphic Research, a Community-Driven Peer Review Program"
+date: 2025-08-31
+description: "Introducing the ONR Program: A community-driven peer review initiative to foster open, reproducible, and high-impact research in neuromorphic computing."
+image: "onr-announcement-banner.png"
+draft: false
+author:
+  - "Jens E. Pedersen"
+  - "Justin Riddiough"
+  - "Danny Rosen"
+tags: ["onr", "community", "open science", "research"]
+showTableOfContents: true
+---
+
+## Announcing the Open Neuromorphic Research (ONR) Program
+
+Open Neuromorphic is excited to launch the **Open Neuromorphic Research (ONR) Program**, a new community-driven initiative designed to promote and validate open and reproducible research in the neuromorphic field.
+
+To explore the full program, including how to submit your work, the review process, and our registry of approved research, visit the official **[ONR Hub]({{< ref "/neuromorphic-computing/research" >}})**.
+
+### Why a Community Peer Review Program?
+
+In our rapidly evolving field, transparency, reproducibility, and collaboration are more important than ever. The ONR program aims to address this by establishing a trusted, community-led peer-review process. Our goal is to create a curated registry of high-quality research that exemplifies the best practices of open science.
+
+By participating, you can:
+-   **Gain Visibility:** Get your work recognized and highlighted by the community.
+-   **Build Trust:** Earn the "ONM Community Approved" badge for your project.
+-   **Accelerate Science:** Contribute to a shared ecosystem of reliable and reusable research.
+
+### How It Works
+
+The ONR program is built on a transparent review process managed through OpenReview. We welcome submissions of all kinds, from research papers and codebases to datasets and educational tools.
+
+1.  **Submit Your Work:** Follow our [**Submitter's Guide**]({{< ref "/neuromorphic-computing/research/guide/submitter-guide" >}}) to share your project through our guided process on OpenReview.
+2.  **Community Review:** Your submission will be evaluated by a panel of volunteer reviewers based on our [official review criteria]({{< ref "/neuromorphic-computing/research/guide/review-criteria" >}}), focusing on clarity, reproducibility, and impact.
+3.  **Get Recognized:** Approved projects are awarded the "ONM Community Approved" badge and showcased with a dedicated **certificate page** in our [Approved Research Registry]({{< ref "/neuromorphic-computing/research/papers" >}}).
+
+### Get Involved!
+
+Whether you're a researcher with a project to share or an expert willing to lend your time as a reviewer, there's a place for you in the ONR program.
+
+-   [**Learn How to Submit Your Work**]({{< ref "/neuromorphic-computing/research/guide/submitter-guide" >}})
+-   [**Become a Reviewer**]({{< ref "/neuromorphic-computing/research/guide/reviewer-guide" >}})
+
+Join us in building a more open and collaborative future for neuromorphic computing. We look forward to seeing your contributions!

content/blog/announcing-the-onr-program/index.md

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+---
+title: "Open Neuromorphic Research"
+description: "A community-driven peer review program to validate and highlight reproducible, high-impact research in neuromorphic computing. Discover community-approved papers and learn how to submit your work."
+type: "research"
+layout: "list"
+program_lead: "danny-rosen"
+---
+
+Welcome to the Open Neuromorphic Research (ONR) hub. This initiative is designed to foster open, reproducible, and high-quality research within the neuromorphic community through a transparent peer-review process.
+
+Our goal is to create a trusted registry of community-vetted projects, papers, and tools that exemplify the best practices of open science. By establishing a clear set of standards and a transparent review process, we aim to:
+- **Increase Trust:** Provide a clear signal of quality for community-vetted projects.
+- **Promote Reproducibility:** Encourage best practices in documenting and sharing research.
+- **Accelerate Innovation:** Make it easier for researchers to build upon each other's work.

content/neuromorphic-computing/research/_index.md

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+---
+title: "ONR Badge & Certificate System"
+description: "An explanation of the 'ONM Community Approved' badge, what it signifies, and how approved projects are showcased on a dedicated certificate page."
+showTableOfContents: true
+type: "research"
+---
+
+## The "ONM Community Approved" Badge
+
+The "ONM Community Approved" badge is a mark of quality and trust within the neuromorphic ecosystem. It signifies that a project, paper, or resource has successfully passed the Open Neuromorphic Research (ONR) community peer-review process.
+
+Earning the badge means your project will be featured in our [Approved Research Registry](/neuromorphic-computing/research/papers/), with a dedicated page that serves as a permanent certificate of its approval.
+
+### What the Badge Represents
+
+When you see this badge, it means the work has been evaluated against our [official review criteria](/neuromorphic-computing/research/guide/review-criteria/) and has been recognized for its:
+
+-   **Clarity:** The work is well-documented and easy to understand.
+-   **Reproducibility:** The results can be independently verified by the community.
+-   **Impact:** The contribution is valuable and relevant to the neuromorphic field.
+-   **Openness:** The work adheres to open-source principles with permissive licensing.
+
+## The Certificate Page
+
+Each project that successfully passes the ONR review is granted a permanent "certificate" page within our [Approved Research Registry](/neuromorphic-computing/research/papers/). This page serves as the official record of the community's endorsement and typically includes:
+
+-   An overview of the project and its contributions.
+-   Direct links to the resource (e.g., GitHub repository, paper).
+-   A link to the public peer-review discussion on OpenReview.
+-   The date of community approval.
+
+The badge that you display on your project will link directly to this certificate page.
+
+## How to Display the Badge
+
+Once your submission is approved and your certificate page is live, you are encouraged to display the badge prominently in your project's `README.md` file on GitHub or on your project's website.
+
+The badge should link to your specific certificate page on `open-neuromorphic.org`.
+
+**Markdown Template:**
+```markdown
+[![ONM Community Approved](https://img.shields.io/badge/Community%20Approved-Open%20Neuromorphic-8A2BE2)](https://open-neuromorphic.org/path/to/your/certificate/page/)

content/neuromorphic-computing/research/guide/badge-system/index.md

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+---
+title: "ONR Review Criteria"
+description: "The official evaluation rubric and guiding principles for the Open Neuromorphic Research (ONR) community peer-review program."
+showTableOfContents: true
+type: "research"
+---
+
+This document details the official review criteria for the Open Neuromorphic Research (ONR) program. It is to be used by both submitters preparing their work and reviewers evaluating submissions.
+
+## Core Principles
+
+Reviewers are expected to adhere to the following principles, inspired by the broader open science movement:
+
+1.  **I will sign my name to my review.** (Transparency)
+2.  **I will review with integrity.** (Objectivity)
+3.  **I will treat the review as a discourse... and provide constructive criticism.** (Constructiveness)
+4.  **I will be an ambassador for the practice of open science.** (Advocacy)
+
+## Evaluation Rubric
+
+| Category | Criteria | Reviewer Questions |
+|---|---|---|
+| **1. Relevance** | Submission is within the scope of neuromorphic computing (hardware, software, methods, applications). | Does this fit the ONR mission? |
+| **2. Clarity** | Well-organized, readable, and logically structured. | Is the purpose clear? Are visuals and code well-explained? |
+| **3. Reproducibility** | Methods, code, and data are clearly documented for replication. | Could another researcher replicate the results with the materials provided? |
+| **4. Technical Rigor** | The approach is technically sound and well-supported. | Does the submission reflect good scientific/engineering practices? |
+| **5. Contribution** | Demonstrates a non-trivial or novel contribution (tool, method, experiment, or insight). | Is the contribution clearly articulated and meaningful? |
+| **6. Openness** | Uses permissive licensing (e.g., MIT, Apache, CC-BY) and open tools/formats. | Are all components accessible and reusable under our [Definition of Open](/about/governance/open-definition/)? |
+| **7. Compliance** | Adheres to ONR submission guidelines. | Are the format, structure, and metadata correct? |
+| **8. Community Value** | Has potential to be reused, extended, or learned from by the ONM community. | Would this benefit students, researchers, or developers? |
+
+---
+
+## Reviewer Recommendation
+
+-   [ ] **Accept:** The submission meets the criteria and is ready for the "ONM Community Approved" badge.
+-   [ ] **Recommend Modifications:** The submission is promising but requires specific, actionable changes before it can be accepted.
+
+## Reviewer Comments
+
+Please provide brief, constructive feedback addressing:
+-   **Strengths** of the submission.
+-   **Suggestions** for improvement.
+-   **Specific concerns** related to clarity, rigor, or reproducibility.

content/neuromorphic-computing/research/guide/review-criteria/index.md

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+---
+title: "ONR Reviewer's Guide"
+description: "A reference for reviewers, detailing the workflow, guidelines for constructive feedback, and official review criteria for the ONR program."
+showTableOfContents: true
+type: "research"
+---
+
+This document serves as a reference for reviewers when considering submissions to the Open Neuromorphic Research (ONR) program.
+
+## 1. Workflow on OpenReview
+
+1.  **Profile Setup:** Please update your OpenReview profile to ensure your expertise is accurately reflected for assignment matching.
+2.  **Assignment:** You will be notified of assigned papers via your OpenReview "Reviewer Console." If you have a conflict of interest or lack the required expertise, please notify your Area Chair immediately.
+3.  **Submission:** Submit your review using the structured form within OpenReview. You can save drafts and edit your review up until the deadline.
+
+## 2. Guidelines for Constructive Feedback
+
+1.  **Summary:** Begin with a concise summary of the submission’s goals and contributions.
+2.  **Strengths:** Highlight positive aspects such as clarity, novelty, and open-science contributions.
+3.  **Major Issues:** Focus on elements impacting reproducibility, methodology, or clarity.
+4.  **Actionable Suggestions:** Provide specific, actionable suggestions for improvement (e.g., "Provide parameter settings used in simulations," or "Deposit code in a version-controlled repository with a DOI.").
+5.  **Tone:** Maintain a respectful and constructive tone throughout.
+6.  **Recommendation:** Conclude with a clear recommendation (Accept or Recommend Modifications).
+
+## 3. Review Criteria
+
+Reviewers should be guided by our four core principles:
+1.  **Sign your name** to your review.
+2.  Review with **integrity**.
+3.  Provide **constructive criticism**.
+4.  Be an **ambassador for open science**.
+
+All submissions are evaluated against the official [ONR Review Criteria](/neuromorphic-computing/research/review-criteria/). Please familiarize yourself with this rubric before beginning your review.

content/neuromorphic-computing/research/guide/reviewer-guide/index.md

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+---
+title: "ONR Submitter's Guide"
+description: "This guide outlines how to submit your work for review and inclusion in the ONM Community Peer Review Program."
+showTableOfContents: true
+type: "research"
+---
+
+Welcome to the Open Neuromorphic Research (ONR) Initiative! This guide outlines how to submit your work for review and inclusion in our Community Peer Review Program. Submissions are accepted on a rolling basis.
+
+---
+
+## What Can You Submit?
+
+We welcome open-source neuromorphic projects of all kinds, including but not limited to:
+
+-   Research codebases (e.g., SNN models, simulators, benchmarks)
+-   Datasets and dataset preparation pipelines
+-   Educational tools, tutorials, and documentation
+-   Hardware support libraries and FPGA/ASIC interfaces
+-   Analysis tools, visualization, and measurement utilities
+
+Submissions may take the form of:
+-   **Git repositories** containing software and documentation
+-   **Jupyter notebooks** with code, figures, and narrative explanations
+-   **IEEE-formatted papers** (PDF)
+-   **Technical whitepapers** or overview documents (PDF or web-hosted)
+
+Your project must satisfy Open Neuromorphic's [Definition of Open](/about/governance/open-definition/).
+
+We especially encourage well-documented Jupyter notebooks that walk through core functionality, demonstrate reproducibility, or explain concepts interactively. Also, please try to submit source files of figures if possible.
+
+---
+
+## How to Submit
+
+### Prerequisites
+
+**All authors must have existing OpenReview profiles** before submitting. If you don't have one:
+1.  Create an account at [OpenReview.net](https://openreview.net/)
+2.  Complete your profile with your name, email, and affiliations
+3.  Ensure your profile ID follows the format `~FirstName_LastName#` (e.g., `~Jane_Doe1`)
+
+### Submission Process
+
+Submit your work through OpenReview using the official ONR submission form.
+🔗 **[OpenReview ONR Submission Portal](https://openreview.net/)**
+
+You will be required to provide the following information:
+
+#### Submission Details
+
+1.  **Title** *(required)*
+  -   Max length: 250 characters
+  -   Supports TeX formulas (e.g., `$…$` for inline, `$$…$$` for display math)
+
+2.  **Abstract** *(required)*
+  -   Max length: 5000 characters
+  -   Clearly summarize your contribution, methods, and findings
+
+3.  **Authors** *(required)*
+  -   Comma-separated list (e.g., `Jane Doe, John Smith`)
+
+4.  **Author IDs** *(required)*
+  -   Comma-separated OpenReview profile IDs (e.g., `~Jane_Doe1`)
+
+5.  **PDF** *(required)*
+  -   Upload a `.pdf` file (max size: 50 MB)
+  -   Include title, authors, abstract, and references
+
+6.  **Submission Length** *(required)*
+  -   Choose: `Regular submission (≤8 pages)` or `Long submission (>8 pages)`
+
+7.  **Supplementary Material** *(optional)*
+  -   Upload `.zip` or `.pdf` (max size: 100 MB)
+  -   May include code, datasets, figures, or videos
+
+8.  **Previous Submission URL** *(optional)*
+  -   Provide the OpenReview URL if revising a prior submission
+
+9.  **Changes Since Last Submission** *(optional)*
+  -   Describe updates made since the previous submission
+
+10. **Competing Interests** *(required)*
+  -   Disclose conflicts of interest or enter `N/A`
+
+11. **Human Subjects Reporting** *(required)*
+  -   Provide details if applicable, or enter `N/A`
+
+### After Submission
+
+Your submission will be reviewed by a panel of 3–5 ONM volunteer reviewers. You'll receive confirmation and an estimated timeline for decisions.
+
+---
+
+## Review Criteria
+
+Projects are evaluated based on our official [Review Criteria](/neuromorphic-computing/research/guide/review-criteria/), which prioritizes openness, impact, clarity, and reproducibility.
+
+---
+
+## Outcomes
+
+We expect to provide decisions within one month of submission.
+
+-   **If approved**, your project will receive an "ONM Community Approved" badge and will be featured in the ONR program registry.
+-   **If not yet approved**, you’ll receive actionable feedback and may revise and resubmit.
+
+---
+
+## Questions?
+
+Join the discussion in the `#onr-program` channel on our [Discord Server](https://discord.gg/hUygPUdD8E) or email us at [[email protected]](mailto:[email protected]).

content/neuromorphic-computing/research/guide/submitter-guide/index.md

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+---
+title: "Approved Research Registry"
+description: "A curated registry of high-impact research papers and resources that have passed the Open Neuromorphic community peer-review process."
+layout: "list"
+type: "research-papers"
+---
+
+This registry showcases research that exemplifies the principles of open, reproducible, and impactful science in the neuromorphic field. Each entry has been vetted by community experts according to our [official review criteria](/neuromorphic-computing/research/guide/review-criteria/).

content/neuromorphic-computing/research/papers/_index.md

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+---
+title: "Example Paper 1: A Novel Approach to Synaptic Plasticity"
+date: 2025-08-20
+description: "This placeholder paper explores a fictional but plausible new model for synaptic plasticity in spiking neural networks, demonstrating enhanced learning capabilities on benchmark tasks."
+draft: false
+type: "research-papers"
+resource_link: "https://arxiv.org/abs/2109.12894"
+author:
+  - "Jens E. Pedersen"
+  - "Gregor Lenz"
+publication_venue: "Journal of Fictional Neuromorphic Science, 2025"
+doi: "10.xxxx/jfncs.2025.001"
+review_date: "2025-08-20"
+onr_badge: true
+---
+
+**Note:** This is a placeholder entry to demonstrate the layout and structure of the ONR Approved Research Registry.
+
+## Abstract
+The backpropagation of error algorithm is arguably the most important algorithm in artificial intelligence, but has been deemed biologically implausible. In this placeholder study, we introduce a novel, biologically plausible learning rule inspired by the dynamics of astrocytic networks. Our model, termed Astro-Modulated Hebbian Learning (AMHL), demonstrates competitive performance with backpropagation on standard image classification benchmarks while requiring only local information for weight updates. We validate our findings through simulations on synthetic and real-world datasets, suggesting a viable path toward more brain-like on-chip learning.
+
+## Resource Overview
+This resource consists of a pre-print manuscript and an accompanying open-source Python codebase. The codebase, implemented in PyTorch and `snnTorch`, allows researchers to replicate all experiments presented in the paper. It includes scripts for data preprocessing, model training, and result visualization. We hope this work serves as a foundation for further exploration into glial-neural interactions in computational models.