adds logos

site/_includes/project_list.html

@@ -3,10 +3,16 @@
 <project-list>
   {% for project in site.projects %}
   <project-card class="{{ project.class }}">
-    <h2>
-      {%- if project.external_url -%}
+    <h2 style="display:flex;align-items:center;justify-content:space-around">
+      {%- if project.logo -%}
+      <a href="{{ project.external_url }}">
+        <img src="{{ project.logo }}" align="left"  height="80"/>
+      </a>
+      {%- elsif project.external_url -%}
       <a href="{{ project.external_url }}">{{ project.title }}</a>
-      {%- else -%} {{ project.title }} {%- endif -%}
+      {%- else -%}
+      {{ project.title }}
+      {%- endif -%}
     </h2>
     <div>{{ project.content }}</div>
   </project-card>

site/_projects/nemos.md

@@ -1,5 +1,6 @@
 ---
 title: NeMoS
 external_url: https://github.com/flatironinstitute/nemos
+logo: /assets/nemos_logo.svg
 ---
 A statistical modeling framework for systems neuroscience. NeMoS, our latest software package, specializes in GPU-accelerated optimizations. Its current core functionality includes the implementation of the Generalized Linear Model (GLM) for spike train analysis.

site/_projects/plenoptic.md

@@ -1,5 +1,6 @@
 ---
 title: plenoptic
 external_url: https://github.com/LabForComputationalVision/plenoptic/
+logo: /assets/plenoptic_logo.svg
 ---
-plenoptic is a python library for model-based synthesis of perceptual stimuli. The generated stimuli enable interpretation of model properties through examination of features that are enhanced, suppressed, or descarded. More importantly, they can facilitate the scientific proceess, through use in perceptual or neural experiments aimed at validating/falsifying model predictions.
+plenoptic is a python library for model-based synthesis of perceptual stimuli. The generated stimuli enable interpretation of model properties through examination of features that are enhanced, suppressed, or descarded. More importantly, they can facilitate the scientific proceess, through use in perceptual or neural experiments aimed at validating/falsifying model predictions.

site/_projects/pynapple.md

@@ -1,5 +1,6 @@
 ---
 title: pynapple
 external_url: https://pynapple-org.github.io/pynapple/
+logo: /assets/pynapple_logo.svg
 ---
-pynapple is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.). It also provides users with generic functions for neuroscience such as tuning curves and cross-correlograms.
+pynapple is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.). It also provides users with generic functions for neuroscience such as tuning curves and cross-correlograms.