gin commit from CIN-Ari99

Modified files: 7

datacite.yml

@@ -1,49 +1,44 @@
 authors:
   -
-    firstname: 'Yue'
+    firstname: Yue
     lastname: Zhang
     affiliation: 'University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience and Institute of Neurobiology, 72076 Tübingen, Germany'
-  
   -
-    firstname: 'Ruoyu'
+    firstname: Ruoyu
     lastname: Huang
     affiliation: 'University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience and Institute of Neurobiology, 72076 Tübingen, Germany'
-
   -
-    firstname: 'Wiebke'
+    firstname: Wiebke
     lastname: Nörenberg
     affiliation: 'University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience and Institute of Neurobiology, 72076 Tübingen, Germany'
-
   -
     firstname: 'Aristides B.'
     lastname: Arrenberg
     affiliation: 'University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience and Institute of Neurobiology, 72076 Tübingen, Germany'
     id: 'ORCID:0000-0001-8262-7381'
-
-title: 'The perception of optic flow is essential for any visually guided behavior of a moving animal. To mechanistically predict behavior and understand the emergence of self-motion perception in vertebrate brains, it is essential to systematically characterize the motion receptive fields (RFs) of optic flow processing neurons. Here, we present the fine-scale RFs of thousands of motion-sensitive neurons studied in the diencephalon and the midbrain of zebrafish. We found neurons that serve as linear filters and robustly encode directional and speed information of translation-induced optic flow. These neurons are topographically arranged in pretectum according to translation direction. The unambiguous encoding of translation enables the decomposition of translational and rotational self-motion information from mixed optic flow. In behavioural experiments, we successfully demonstrated the predicted decomposition in the optokinetic and optomotor responses. Together, our study reveals the algorithm and the neural implementation for self-motion estimation in a vertebrate visual system.'
-
+title: 'A robust receptive field code for optic flow detection and decomposition during self-motion'
+description: 'The perception of optic flow is essential for any visually guided behavior of a moving animal. To mechanistically predict behavior and understand the emergence of self-motion perception in vertebrate brains, it is essential to systematically characterize the motion receptive fields (RFs) of optic flow processing neurons. Here, we present the fine-scale RFs of thousands of motion-sensitive neurons studied in the diencephalon and the midbrain of zebrafish. We found neurons that serve as linear filters and robustly encode directional and speed information of translation-induced optic flow. These neurons are topographically arranged in pretectum according to translation direction. The unambiguous encoding of translation enables the decomposition of translational and rotational self-motion information from mixed optic flow. In behavioural experiments, we successfully demonstrated the predicted decomposition in the optokinetic and optomotor responses. Together, our study reveals the algorithm and the neural implementation for self-motion estimation in a vertebrate visual system.'
 keywords:
   - Neuroscience
   - Zebrafish
-  - Receptive field
-  - Visual motion integration
-  - Optic flow decomposition
-  - Matched filter algorithm
-  - Opotmotor responses
-  - Optokinetic responses
-  - visually guided behaviour
+  - 'Receptive field'
+  - 'Visual motion integration'
+  - 'Optic flow decomposition'
+  - 'Matched filter algorithm'
+  - 'Opotmotor responses'
+  - 'Optokinetic responses'
+  - 'visually guided behaviour'
   - Diencephalon
-
 license:
-  name: 'Creative Commons CC BY-NC-SA 4.0 International (Attribution-NonCommercial-ShareAlike)'
-  url: 'https://creativecommons.org/licenses/by-nc-sa/4.0/'
-
-  name: 'MIT license'
-
+  code:
+    name: 'GNU General Public License v3.0'
+    url: 'https://www.gnu.org/licenses/gpl-3.0.html'
+  data:
+    name: 'Creative Commons CC BY-NC-SA 4.0 International (Attribution-NonCommercial-ShareAlike)'
+    url: 'https://creativecommons.org/licenses/by-nc-sa/4.0/'
 funding:
   - 'Deutsche Forschungsgemeinschaft (DFG) grant EXC307 (CIN – Werner Reichardt Centre for Integrative Neuroscience)'
   - 'Human Frontier Science Program (HFSP) Young Investigator Grant RGY0079'
-
 references:
   -
     id: 'https://doi.org/10.1101/2021.10.06.463330'
@@ -53,6 +48,5 @@ references:
     id: 'DOI t.b.d.'
     reftype: IsSupplementTo
     citation: 'Zhang, Y., Huang, R., Nörenberg, W., & Arrenberg, A. A robust receptive field code for optic flow detection and decomposition during self-motion (in review)'
-
 resourcetype: Dataset
 templateversion: 1.2