add ajile12 page

Author: lpjiang97

README.md

@@ -7,13 +7,17 @@
 current website (not yet published to cse server) **[neural.cs.washington.edu](https://neural.cs.washington.edu)** 🚀
 
 ## Setup
+
 After cloning this repo, run the following commands to preview the website locally:
+
 1. Install [Docker](https://docs.docker.com/get-docker/)
 2. Make sure Docker is running, and run `./.docker/run.sh`
-3. Click the base URL shown in the terminal. 
+3. Click the base URL shown in the terminal.
 
 ## Adding a member
+
 Add a `firstname-lastname.md` file in the `_members` folder. Place the photo under `images/people/lastname.jpg`. An example:
+
 ```md
 ---
 name: Preston Jiang
@@ -45,10 +49,13 @@ links:
 ```
 
 ### If graduated :(
+
 Add `group: alum` to the frontmatter.
 
 ## Adding a press article
+
 Add a `YYYY-MM-DD-title.md` file in the `_press` folder. Use `tags` to add relevant keywords. An example:
+
 ```md
 ---
 title: "To Be Energy-Efficient, Brains Predict Their Perceptions"
@@ -59,7 +66,9 @@ Raj's predictive coding theory is discussed in this [Quanta article](https://www
 ```
 
 ## Adding a news snippet
+
 Add a `YYYY-MM-DD-title.md` file in the `_news` folder. An example:
+
 ```md
 ---
 title: Welcome, Dr. Shuchen Wu!

_cite/.cache/cache.db

@@ -11,7 +11,7 @@
   - Vince Rubinetti
   - Faisal Alquaddoomi
   - Gregory P. Way
-  publisher: Cold Spring Harbor Laboratory
+  publisher: openRxiv
   date: '2025-06-25'
   link: https://doi.org/g9rfr3
   orcid: 0000-0002-4655-3773
@@ -81,7 +81,7 @@
   - Casey S. Greene
   - Sean Davis
   - Ran Blekhman
-  publisher: Cold Spring Harbor Laboratory
+  publisher: openRxiv
   date: '2023-10-11'
   link: https://doi.org/gsvf5z
   orcid: 0000-0002-4655-3773
@@ -123,7 +123,7 @@
   - Blair D. Sullivan
   - Michael W. Nagle
   - Casey S. Greene
-  publisher: Cold Spring Harbor Laboratory
+  publisher: openRxiv
   date: '2023-01-07'
   link: https://doi.org/grmcb9
   orcid: 0000-0002-4655-3773
@@ -155,19 +155,20 @@
   title: 'MolEvolvR: A web-app for characterizing proteins using molecular evolution
     and phylogeny'
   authors:
-  - Jacob D Krol
-  - Joseph T Burke
-  - Samuel Z Chen
-  - Lo M Sosinski
   - Faisal S Alquaddoomi
+  - Joseph T Burke
+  - Lo Sosinski
+  - David A Mayer
   - Evan P Brenner
+  - Samuel Z Chen
+  - Jacob D Krol
   - Ethan P Wolfe
   - Vincent P Rubinetti
   - Shaddai Amolitos
   - Kellen M Reason
   - John B Johnston
   - Janani Ravi
-  publisher: Cold Spring Harbor Laboratory
+  publisher: openRxiv
   date: '2022-02-22'
   link: https://doi.org/gstx7j
   orcid: 0000-0002-4655-3773
@@ -229,7 +230,7 @@
   - Vincent Rubinetti
   - Daniel S. Himmelstein
   - Casey S. Greene
-  publisher: Cold Spring Harbor Laboratory
+  publisher: openRxiv
   date: '2019-03-11'
   link: https://doi.org/gfxjxf
   orcid: 0000-0002-4655-3773

_data/citations.yaml

@@ -27,10 +27,10 @@
 
 :root {
   // font families
-  --title: "Helvetica", sans-serif;
-  --heading: "Helvetica", sans-serif;
-  --body: "Helvetica", sans-serif;
-  --code: "Roboto Mono", monospace;
+  --title: "Inter", "Segoe UI", system-ui, sans-serif;
+  --heading: "Inter", "Segoe UI", system-ui, sans-serif;
+  --body: "Inter", "Segoe UI", system-ui, sans-serif;
+  --code: "JetBrains Mono", "Roboto Mono", monospace;
 
   // font sizes
   --large: 1.2rem;

_styles/-theme.scss

@@ -13,7 +13,7 @@ $wrap: 800px;
 
 .feature-image {
   flex-shrink: 0;
-  width: 40%;
+  width: 50%;
   //aspect-ratio: 3 / 2;
   border-radius: var(--rounded);
   overflow: hidden;

_styles/feature.scss

@@ -1,5 +1,5 @@
 ---
 ---
 
-@font-face {
-}
+// Import Google Fonts
+@import url('https://fonts.googleapis.com/css2?family=Inter:wght@200;400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap');

_styles/font.scss

@@ -0,0 +1,29 @@
+---
+title: Open Datasets
+---
+
+# {% include icon.html icon="fa-solid fa-database" %}Open Datasets
+
+We believe in open science and making our research data accessible to the broader scientific community. This page provides information about datasets we have made publicly available.
+
+{% include section.html %}
+
+## AJILE12: Long-term Naturalistic Human Intracranial Neural Recordings and Pose
+
+AJILE12 (_Annotated Joints in Long-term Electrocorticography for 12 human participants_) is a multimodal human electrocorticography (ECoG) dataset recorded during passive clinical epilepsy monitoring. The dataset includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements from 12 human participants.
+
+{% capture text %}
+
+### Publication
+
+Peterson, S.M., Singh, S.H., Dichter, B. et al. AJILE12: Long-term naturalistic human intracranial neural recordings and pose. _Sci Data_ **9**, 184 (2022). [https://doi.org/10.1038/s41597-022-01280-y](https://doi.org/10.1038/s41597-022-01280-y)
+
+### Access the Dataset
+
+- [DANDI Archive](https://dandiarchive.org/dandiset/000055)
+- [Interactive Dashboard](https://github.com/BruntonUWBio/ajile12-nwb-data)
+- To request additional raw data, please fill out this [form](https://forms.gle/4bsNQnLExZ7ZCuTK9).
+
+{% endcapture %}
+
+{% include feature.html image="images/research/ajile12.png" text=text %}

images/research/ajile12.png

@@ -7,7 +7,9 @@ nav:
 
 # {% include icon.html icon="fa-solid fa-microscope" %}Research
 
-For a complete list of the lab's publications, see PI Rao's [Google Scholar page](https://scholar.google.com/citations?user=02nHF0gAAAAJ).
+**{% include icon.html icon="fa-solid fa-graduation-cap" %}[Google Scholar](https://scholar.google.com/citations?user=02nHF0gAAAAJ)** - Complete list of the lab's publications.
+
+**{% include icon.html icon="fa-solid fa-database" %}[ Open Datasets]({{ site.baseurl }}/research/data/)** - Access our open-source datasets and request data for your research.
 
 ## Computational Neuroscience
 
@@ -16,7 +18,7 @@ Computational neuroscience offers a new way to understand the brain by leveragin
 {% capture text %}
 
 - Predictive coding and Bayesian brain models
-- Models for ehavior and cognition based on partially observable Markov decision processes (POMDPs) 
+- Models for ehavior and cognition based on partially observable Markov decision processes (POMDPs)
 - Hierarchical recurrent neural networks implementing the above models
 
 {% endcapture %}
@@ -25,14 +27,14 @@ Computational neuroscience offers a new way to understand the brain by leveragin
 
 ## Brain-Computer Interfaces
 
-Brain-computer interfaces (BCIs) are devices that connect brains directly to computers. BCIs can both record from the brain ("read" the brain) and stimulate the brain ("write" the brain). BCIs be used to help those who have impairments due to injury or  neurological conditions. For example, by recording electrical signals from the brain, a BCI (1) can decode these signals into intention, such as the intention to move, and (2) actuate this intention by performing some output, such as moving a prosthetic arm, or turning on a light. Our lab works closely with neuroscientists, neurosurgeons and patients to explore novel methods to improve BCI technology. Current research projects include: 
+Brain-computer interfaces (BCIs) are devices that connect brains directly to computers. BCIs can both record from the brain ("read" the brain) and stimulate the brain ("write" the brain). BCIs be used to help those who have impairments due to injury or  neurological conditions. For example, by recording electrical signals from the brain, a BCI (1) can decode these signals into intention, such as the intention to move, and (2) actuate this intention by performing some output, such as moving a prosthetic arm, or turning on a light. Our lab works closely with neuroscientists, neurosurgeons and patients to explore novel methods to improve BCI technology. Current research projects include:
 
 {% capture text %}
 
 - Brain co-processors: This project utilizes artificial intelligence to adaptively deliver stimulation and compute control signals as a function of the brain's ongoing neural activity and external sensory signals.
 - Naturalistic BCIs: This project uses deep learning methods to improve decoding of brain signals in naturalistic settings.
 - Decoding pain and mood: This project seeks to identify neural biomarkers for pain and mood.
-- Modeling electrical stimulation: This project models the effects of therapeutic electrical stimulation using AI and machine learning techniques, and uses these models for developing brain co-processors. 
+- Modeling electrical stimulation: This project models the effects of therapeutic electrical stimulation using AI and machine learning techniques, and uses these models for developing brain co-processors.
 
 {% endcapture %}
 
@@ -47,13 +49,12 @@ Our lab focuses on developing neurally inspired AI algorithms that leverage insi
 - Active Predictive Coding: Developing dynamic, hierarchical world models that learn to compose simple dynamics, enabling AI to tackle complex tasks in vision and navigation.
 - Visual Reinforcement Learning for Grounded Decision-Making: Investigating how reinforcement learning (RL) agents perceive and interpret their environments when making decisions.
 - Active Inference and Successor Representations for Navigation: Integrating active inference with successor representations to create more flexible and efficient navigation strategies.
-- Using AI to analyze the Indus script and art 
+- Using AI to analyze the Indus script and art
 {% endcapture %}
 <!-- 
 - Active Predictive Coding: Learning dynamic and hierarchical world models to compose simple dynamics and solve complex problems in vision and navigation.
 - Visual Reinforcement Learning for grounded decision making: We try to answer what an RL agent is looking at, when taking decisions.
 - Active Inference and Successor Representation for navigation.
 - Using AI to analyze the Indus script and art -->
 
-
-{% include feature.html image="images/research/apc2.png" link="projects" style="bare" text=text %}
+{% include feature.html image="images/research/apc2.png" link="projects" style="bare" text=text %}