Author

P. Toledo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:behavioral assay· 2 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:rat· 1 Research Focus:spatial domain detection· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

A. Leon· 2 shared I. Guzman· 2 shared M. L. Avendano-Garrido· 2 shared C. A. Hernandez-Linares· 1 shared C. Hernandez-Linares· 1 shared E. Escamilla· 1 shared F. Diaz· 1 shared I. Luna· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersAnimal Behavior & Cognition

A. Leon

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

An Ecological Approach to the Effects of Water-Source Locations and Time-Based Schedules on Entropy and Spatio-Temporal Behavioral Features

V. Hernandez-Eslava, A. Leon, I. Guzman, F. Diaz, M. L. Avendano-Garrido, P. Toledo, C. A. Hernandez-Linares, I. Luna

This study examines how water delivery location and time-based schedules affect spatial behavior in rats, finding location-schedule interactions influence spatial organization.

bioRxiv · Jul 15, 2021 · PreprintAnimal Behavior & Cognition

Beyond single discrete responses: An integrative and multidimensional analysis of behavioral dynamics assisted by Machine Learning

A. Leon, V. Hernandez, J. Lopez, I. Guzman, V. Quintero, P. Toledo, M. L. Avendano-Garrido, C. Hernandez-Linares, E. Escamilla

This paper introduces a multidimensional analysis of behavioral dynamics using machine learning to integrate continuous spatial behavior with discrete responses, revealing previously overlooked aspects of behavior.

bioRxiv · Mar 17, 2021Animal Behavior & Cognition