For neuroscience projects that go beyond standard behavioral tests, we develop custom video tracking and behavioral analysis solutions tailored to your experimental goals. We work with you to understand the scientific question, task design, behavior, recording constraints, and analysis requirements, then draw on our extensive experience in behavioral neuroscience to adapt our existing systems or develop new solutions that capture the measures that matter. Our aim is to provide reliable, quantitative behavioral data that can be synchronized with neural recordings and other experimental signals, together with the analyses needed to extract meaningful insights from complex behavioral paradigms.

We typically provide both data acquisition and analysis, but if you already have data or alternative plans for data collection, we can also help with behavioral measures, automated behavior identification, and custom analysis methods to help you get the most out of your study.

Examples include:

• Translation of complex scientific questions into practical, robust behavioral measures that can be applied consistently across large datasets and long-term studies.
• Development of custom behavioral measures tailored to specific scientific hypotheses, including studies of navigation, memory, learning, decision-making, and behavioral strategy.
• Synchronization of behavioral data with electrophysiological, physiological, and other experimental recordings to relate neural activity to behavior.
• Tracking and analysis of multiple animals, interacting animals, or animals interacting with moving objects.
• Quantitative analysis of behavior in studies investigating the effects of reward, motivation, expectation, pharmacological interventions, or neural manipulations.
• Behavioral tracking and analysis for spatial navigation experiments in complex environments, including measures of exploration, route selection, navigation strategies, cognitive mapping, and spatial learning.
• Development of custom measures to determine whether behavioral performance is supported by spatial representations, or by alternative procedural and non-spatial solution strategies.
• Automated analysis of learning and memory across repeated testing sessions, including changes in performance, exploration, and strategy over time.
• Adaptation of tracking and analysis methods to species and experimental paradigms that are not well supported by standard behavioral software, as well as emerging recording technologies.
• Custom tracking and analysis solutions for large arenas, long-duration recordings, and other experimental paradigms that are not well served by standard behavioral software.
• Design and implementation of entirely new behavioral tracking and analysis approaches where no suitable off-the-shelf solution exists.