nature

Author: HernandoMV

_data/publications.yml

@@ -1,9 +1,9 @@
-- title: "Action prediction error: a value-free dopaminergic teaching signal that drives stable learning"
-  authors: Francesca Greenstreet,  Hernando Vergara,  Sthitapranjya Pati,  Laura Schwarz,  Matthew Wisdom,  Fred Marbach,  Yvonne Johansson,  Lars Rollik,  Theodore Moskovitz,  Claudia Clopath,  Marcus Stephenson-Jones
-  ref: bioRxiv, 2022
+- title: "Dopaminergic action prediction errors serve as a value-free teaching signal"
+  authors: Francesca Greenstreet,  Hernando M. Vergara, Yvonne Johansson,  Sthitapranjya Pati,  Laura Schwarz, Stephen Lenzi, Jesse P. Geerts,  Matthew Wisdom,  Alina Gubanova,  Lars Rollik, Jasvin Kaur,  Theodore Moskovitz, Joseph Cohen, Emmett Thompson, Troy W. Margrie, Claudia Clopath,  Marcus Stephenson-Jones
+  ref: Nature, 2025
   description: We describe a dopaminergic signal in the striatum that encodes action prediction errors, which serve as a value-free teaching signal that supports learning by reinforcing repeated associations.
   image: APE_summary.png
-  url: "https://www.biorxiv.org/content/early/2022/09/14/2022.09.12.507572"
+  url: "https://www.nature.com/articles/s41586-025-09008-9"
 
 - title: "Whole-body integration of gene expression and single-cell morphology"
   authors: Hernando Vergara, Constantin Pape, Kimberly Meechan, Valentyna Zinchenko, Christel Genoud, Adrian Wanner, Kevin Mutemi, Benjamin Titze, Rachel Templin, Paola Bertucci, Oleg Simakov, Wiebke Dürichen, Pedro Machado, Emily Savage, Lothar Schermelleh, Yannick Schwab, Rainer Friedrich, Anna Kreshuk, Christian Tischer, Detlev Arendt

_pages/researchOne.md

@@ -11,7 +11,7 @@ permalink: /res1
 ![]({{ site.url }}{{ site.baseurl }}/images/res_one.png){: style="width: 250px; float: right; margin: 0px 0px 10px 0px"}
 Vertebrates possess a remarkable capacity for learning, adapting their behavior to maximize utility (reward, safety, efficiency…). The basal ganglia comprise a set of interconnected brain structures central for action control, integrating contextual (environmental stimuli) information from the cortex and thalamus with prediction errors from dopamine. This combination of inputs and outputs allows the basal ganglia to drive ongoing behavior contingent on past experience through synaptic plasticity, something we refer to as reinforcement learning. It is however still a mystery the mechanisms by which the outputs of the basal ganglia interact with downstream structures to shape behavior during and after learning. As evidenced by the devastating consequences of neurodegeneration in the basal ganglia (e.g. Parkinson’s and Hungtington’s), their importance for human behavior is significant. A better understanding of these neuronal circuits is therefore needed before we can develop effective therapies to prevent, revert, or counteract the effects of these diseases.
 
-In a recent publication, we have characterized a precise area in the striatum (input nucleus of the basal ganglia) that is involved in learning an auditory-guided task in mice. This area, called the tail of striatum, gains control of the behavior progressively as the animal learns, and has defined spatial connectivity with the rest of the basal ganglia and midbrain structures. It therefore offers a unique opportunity to study the mechanisms by which the basal ganglia influence movement-related structures and exert control of behavior. We are investigating:
+In a recent [publication](https://www.nature.com/articles/s41586-025-09008-9), we have characterized a precise area in the striatum (input nucleus of the basal ganglia) that is involved in learning an auditory-guided task in mice. This area, called the tail of striatum, gains control of the behavior progressively as the animal learns, and has defined spatial connectivity with the rest of the basal ganglia and midbrain structures. It therefore offers a unique opportunity to study the mechanisms by which the basal ganglia influence movement-related structures and exert control of behavior. We are investigating:
  1- the anatomy of functional connections combining transsynaptic viral strategies with activity-based neuronal tagging.
  2- the identity of the cell types that constitute the midbrain circuits modulated by the tail of striatum using high-throughput molecular techniques.
  3- the functional relevance of these circuits employing pharmacological and optogenetic techniques, using behavioral modeling approaches to evaluate their contributions during learning.