{"id":672,"date":"2025-05-11T13:16:48","date_gmt":"2025-05-11T18:16:48","guid":{"rendered":"https:\/\/www.uv.mx\/personal\/aleleon\/?p=672"},"modified":"2025-05-11T13:51:26","modified_gmt":"2025-05-11T18:51:26","slug":"labpsicom-at-sqab-2025-spatial-behavior-takes-the-stage","status":"publish","type":"post","link":"https:\/\/www.uv.mx\/personal\/aleleon\/2025\/05\/11\/labpsicom-at-sqab-2025-spatial-behavior-takes-the-stage\/","title":{"rendered":"LabPsiCom at SQAB 2025: Spatial Behavior Takes the Stage"},"content":{"rendered":"

We are proud to announce that the Laboratory of Comparative Psychology and Analysis of the Spatial Dynamics of Behavior (LabPsiCom)<\/strong> will be presenting at the upcoming Society for the Quantitative Analyses of Behavior (SQAB) Annual Conference<\/strong><\/a>, which will be held in May 2025 as part of the ABAI Annual Convention<\/strong><\/a>.<\/p>\n

\ud83c\udf99\ufe0f Talk Title:<\/h3>\n

The Spatial Dimension in Behavior Analysis: Harnessing Tracking Systems and Computational Methods for New Insights<\/strong>
\ud83d\udc69\u200d\ud83d\udd2c Presented by<\/strong>: Dr. Alejandro Le\u00f3n & Dr. Varsovia Hern\u00e1ndez
\ud83d\udccd Biomedical Research Center, Universidad Veracruzana<\/p>\n

\ud83d\udd0d What Will We Present?<\/h3>\n

In this talk, we will propose a conceptual and methodological shift in the experimental analysis of behavior: moving beyond discrete-response frameworks toward a spatiotemporal understanding of behavior as a dynamic, adaptive system.<\/p>\n

Using high-resolution tracking systems, including center-of-mass data and pose estimation, we aim to uncover non-random distributions and ecologically meaningful behavioral patterns. We will demonstrate how these patterns reorganize in response to dynamic spatiotemporal changes in the environment and the emergence of new contingency systems.<\/p>\n

Our approach includes the use of:<\/p>\n

\ud83d\udd39 Location entropy<\/strong> to quantify spatial variability<\/p>\n

\ud83d\udd39 Weighted Voronoi diagrams<\/strong> to segment Regions of Behavioral Relevance (RBRs)<\/p>\n

\ud83d\udd39 Pose estimation<\/strong> for analyzing behavioral topographies<\/p>\n

\ud83d\udd39 Machine learning algorithms<\/strong> to predict reinforcement schedules based on spatial features<\/p>\n

These methods allow us to detect phenomena such as spatial anticipation<\/strong>, emergent space segmentation<\/strong>, and behavioral sensitivity to space-time contingencies<\/strong>.<\/p>\n

\ud83c\udf0d Why This Matters<\/h3>\n

Incorporating the spatial dimension of behavior<\/strong> is more than a technical upgrade, it\u2019s a necessary evolution for expanding the scope and depth of behavior analysis. By integrating computational methods with ecological validity, we move closer to models of behavior that reflect its full complexity in time and space.<\/p>\n

Our presentation at SQAB represents an exciting opportunity to connect with the global community of quantitative behavior analysts. We look forward to engaging in rich discussions, sharing tools, and shaping the future of behavior science.<\/p>\n

\ud83d\udd17 More Info<\/h3>\n

\ud83c\udf10 SQAB 2025 Conference Page<\/a>
\ud83d\udcc5 Event: May 2025
\ud83d\udccd Location: Chicago, USA
\ud83c\udf93 In collaboration with the ABAI Annual Convention<\/p>\n

#LabPsiCom #SQAB2025 #BehaviorAnalysis #SpatialBehavior #ComputationalBehavior #BehavioralScience #ABAI2025 #MachineLearning #PoseEstimation #VoronoiDiagrams #SpatiotemporalAnalysis #BehaviorTracking #BehavioralResearch<\/strong><\/p>\n