Update pubs

Author: mbeyeler

404.html

@@ -433,6 +433,8 @@ <h2>Latest</h2>
 
       <li><a href="/publications/2026-04-bird/">BIRD: Behavior induction via representation-structure distillation</a></li>
 
+      <li><a href="/publications/2026-03-ecological-visual-processing-mouse/">Ecological visual processing in the mouse</a></li>
+    
       <li><a href="/publications/2026-03-vr-guidance-arrow-map-compass/">Actionable guidance outperforms map and compass cues in demanding immersive VR wayfinding</a></li>
 
       <li><a href="/publications/2026-03-stress-navigation-trev/">Adaptive training for navigation under stress: Impacts of stress exposure and spatial anxiety</a></li>
@@ -449,8 +451,6 @@ <h2>Latest</h2>
 
       <li><a href="/teaching/2026-winter-cs181/">CS/ECE-181: Introduction to Computer Vision</a></li>
 
-      <li><a href="/teaching/2026-winter-cs281b/">CS/ECE-281B: Advanced Topics in Computer Vision</a></li>
-    
   </ul>
 
 

index.html

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index.json

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+    <h3 class="m-0" itemprop="name">
+    <a href="/publications/2026-03-ecological-visual-processing-mouse/"  itemprop="url">Ecological visual processing in the mouse</a>
+    </h3>
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+    <div itemprop="articleBody">
+      <p class="m-0">We review computations that are engaged in ecological contexts, including active sensing, motion processing, scene analysis, distance estimation, and spatial perception.</p>
+    </div>
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+      <div itemprop="author">
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+<meta content="2026-03-20 00:50:22 &#43;0000 UTC" itemprop="datePublished">
+<meta content="2026-03-20 00:50:22 &#43;0000 UTC" itemprop="dateModified">
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+  <span itemprop="author name" itemtype="http://schema.org/Person">Cristopher M. Niell</span>, <span itemprop="author name" itemtype="http://schema.org/Person">
+        <a href="/people/beyeler_michael/">Michael Beyeler</a></span>, <span itemprop="author name" itemtype="http://schema.org/Person">Michael J. Goard</span>, <span itemprop="author name" itemtype="http://schema.org/Person">Spencer LaVere Smith</span>
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+    <time>March 2026</time>
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+      Annual Review of Neuroscience
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+  <p class="m-0 p-0"><i>(Note: All authors contributed equally to this work.</i>)</p>
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+      <img src="/publications/2026-03-ecological-visual-processing-mouse/featured_hu5794c7fcfcb42d426456e6b9ff37ea94_265548_350x0_resize_lanczos_3.png" class="bg-white" itemprop="image">
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people/beyeler_michael/index.html

@@ -1350,7 +1350,7 @@ <h4 class="mt-1">Postdoctoral Scholars (4) </h4>
 
 
             <li>
-              Jacob Granley<small>, Postdoctoral Researcher, CS (F25 &ndash; W26)</small>
+              Jacob Granley<small>, Postdoctoral Researcher, CS (2025 &ndash; 2026)</small>
 
                 <ul>
 

people/index.html

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-  <meta property="og:updated_time" content="2026-02-23T02:34:22&#43;00:00">
+  <meta property="og:updated_time" content="2026-03-20T00:50:22&#43;00:00">
 
 
 
@@ -447,6 +447,15 @@ <h2 itemprop="name">1</h2>
 
 
 
+  <div>
+    <h2><a href="/publications/2026-03-ecological-visual-processing-mouse/">Ecological visual processing in the mouse</a></h2>
+    <div class="article-style">
+      
+      We review computations that are engaged in ecological contexts, including active sensing, motion processing, scene analysis, distance estimation, and spatial perception.
+      
+    </div>
+  </div>
+  
   <div>
     <h2><a href="/publications/2026-02-fuzzing-the-brain/">Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation</a></h2>
     <div class="article-style">
@@ -528,15 +537,6 @@ <h2><a href="/publications/2023-05-retinal-degeneration/">Retinal ganglion cells
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-  <div>
-    <h2><a href="/publications/2023-05-xr-systematic-review/">A systematic review of extended reality (XR) for understanding and augmenting vision loss</a></h2>
-    <div class="article-style">
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-      We present a systematic literature review of 227 publications from 106 different venues assessing the potential of XR technology to further visual accessibility.
-      
-    </div>
-  </div>
-  
 
 
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publication_types/1/index.html

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+    <item>
+      <title>Ecological visual processing in the mouse</title>
+      <link>https://bionicvisionlab.org/publications/2026-03-ecological-visual-processing-mouse/</link>
+      <pubDate>Fri, 20 Mar 2026 00:50:22 +0000</pubDate>
+      
+      <guid>https://bionicvisionlab.org/publications/2026-03-ecological-visual-processing-mouse/</guid>
+      <description></description>
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+    
     <item>
       <title>Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation</title>
       <link>https://bionicvisionlab.org/publications/2026-02-fuzzing-the-brain/</link>

publication_types/1/index.xml

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-  <meta property="og:updated_time" content="2026-02-23T02:34:22&#43;00:00">
+  <meta property="og:updated_time" content="2026-03-20T00:50:22&#43;00:00">
 
 
 
@@ -447,6 +447,15 @@ <h2 itemprop="name">1</h2>
 
 
 
+  <div>
+    <h2><a href="/publications/2023-05-xr-systematic-review/">A systematic review of extended reality (XR) for understanding and augmenting vision loss</a></h2>
+    <div class="article-style">
+      
+      We present a systematic literature review of 227 publications from 106 different venues assessing the potential of XR technology to further visual accessibility.
+      
+    </div>
+  </div>
+  
   <div>
     <h2><a href="/publications/2023-04-snn-stdp-wta/">Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition</a></h2>
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@@ -528,15 +537,6 @@ <h2><a href="/publications/2015-gpu-visually-guided-robot-navigation/">A GPU-acc
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-  <div>
-    <h2><a href="/publications/2013-categorization-mnist-stdp/">Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like plasticity rule</a></h2>
-    <div class="article-style">
-      
-      We present a large-scale model of a hierarchical spiking neural network (SNN) that integrates a low-level memory encoding mechanism with a higher-level decision process to perform a visual classification task in real-time. The model consists of Izhikevich neurons and conductance-based synapses for realistic approximation of neuronal dynamics, a spike-timing-dependent plasticity (STDP) synaptic learning rule with additional synaptic dynamics for memory encoding, and an accumulator model for memory retrieval and categorization. The full network, which comprised 71,026 neurons and approximately 133 million synapses, ran in real-time on a single off-the-shelf graphics processing unit (GPU). The network achieved 92% correct classifications on MNIST in 100 rounds of random sub-sampling, which is comparable to other SNN approaches and provides a conservative and reliable performance metric. Additionally, the model correctly predicted reaction times from psychophysical experiments. Because of the scalability of the approach and its neurobiological fidelity, the current model can be extended to an efficient neuromorphic implementation that supports more generalized object recognition and decision-making architectures found in the brain.
-      
-    </div>
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-  
 
 
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+    <li class="page-item"><a class="page-link" href="/publication_types/1/page/3/">&raquo;</a></li>
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