Author

Joaquín Araya

Universidad Santo TomásORCID 0000-0002-4698-6149Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 5

Signature Assays, Organisms & Methods

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Organism:mouse· 4 Assay:electronic health records· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Adrián G. PalaciosiD· 5 shared María-José EscobariD· 3 shared Ruben A HerzogiD· 3 shared Claudia A. Duran-AniotziD· 2 shared Cristobal Ibaceta-GonzáleziD· 2 shared Cristóbal RojasiD· 2 shared Leonel E. MedinaiD· 2 shared Máx ChacóniD· 2 shared

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2018-2025 · peak 2/yr

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10 top collaborators · 24 mutual co-author links

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5 shared papersNeuroscience

Adrián G. PalaciosORCID

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5 papers

Recent·Most cited

XBP1s as a Therapeutic Target to Preserve Retinal Function During Aging and Neurodegeneration

Leonel E. Medina, Jose L. Cid Barría, Máx Chacón, Maximiliano Orellana, Daniela Ponce, David Neira, Francisco Miqueles, Claudia A. Duran-Aniotz, Joaquín Araya, Bruno Cerda, Claudio A. Hetz, Cristóbal Rojas, Adrián G. Palacios

This study shows that sustained XBP1s expression preserves retinal function and complexity in aging and Alzheimer's disease models.

bioRxiv · Jul 3, 2025 · PreprintNeuroscience

Multiscale Entropy Analysis of Retinal Signals Reveals Reduced Complexity in a Mouse Model of Alzheimer's Disease

Joaquín Araya, Sebastián Garay, Cristóbal Rojas, Claudia A. Duran-Aniotz, Adrián G. Palacios, Máx Chacón, Leonel E. Medina

This study uses multiscale entropy analysis to show reduced retinal signal complexity in a mouse model of Alzheimer's disease, suggesting complexity loss with aging and disease.

Scientific Reports · May 25, 2022Peer-reviewedNeuroscience

Scalable and accurate automated method for neuronal ensemble detection in spiking neural networks

Ruben A Herzog, Arturo Morales, Soraya Mora, Joaquín Araya, María-José Escobar, Adrián G. Palacios, Rodrigo Cofré

The paper introduces an automated method for detecting neuronal ensembles in spiking neural networks, showing it accurately identifies ensembles in both real and synthetic data.

PLoS ONE · Jul 30, 2021Peer-reviewedNeuroscience

Parallel processing of natural images by overlapping retinal neuronal ensembles

Jesús Pérez-Ortega, Joaquín Araya, Cristobal Ibaceta-González, Ruben A Herzog, María-José Escobar, Fernando Peña‐Ortega, Luis Carrillo‐Reid, Adrián G. Palacios

The paper studies how retinal neuronal ensembles process natural images by analyzing their synchronized activity in response to visual stimuli.

bioRxiv · Feb 22, 2021 · PreprintNeuroscience

Functional Asymmetries between Central and Peripheral Retinal Ganglion Cells in a Diurnal Rodent

María-José Escobar, Mónica Otero, César Reyes, Ruben A Herzog, Joaquín Araya, Cristobal Ibaceta-González, Adrián G. Palacios

This study identifies functional differences between central and peripheral retinal ganglion cells in diurnal rodents, showing distinct receptive field sizes, response dynamics, and temporal sensitivity.

bioRxiv · Mar 6, 2018 · PreprintNeuroscience