PatternVision specializes in T-Pattern Detection and Analysis, TPA, with the specially developed THEME™ software to discover and analyze hidden repeated temporal and often multimodal patterns in behavior with special focus on interactions ranging from interactions within populations of brain neurons in living brains to a multitude of human behavior, for example, human courtship and sports, children‘s play and patient behavior and interactions. Whenever the data can be presented as various repeated events in time, TPA can be the analysis of choice and Theme, developed and used for many years at leading US and European universities, the only TPA software available. Its highly optimized algorithms have frequently allowed the detection of highly significant complex patterns typically invisible to unassisted observers and to other available methods and software.

We have thus provided tools and expert consultation to researchers within behavioral sciences, neuroscience, molecular biology, pharmacology, psychiatry, psychology, ethology, engineering, geophysics, sports science, criminology and many more.

See:

• Behavior and Self-Similarity between Nano and Human Scales: From T-pattern and T-string Analysis (TPA) with THEME to T-Societies. Frontiers (2023).
• Best Practice Approaches for Mixed Methods Research in Psychological Science. Frontiers (2020).
• T-patterns, external memory and mass-societies in proteins and humans: In an eye-blink the naked ape became a string-controlled citizen. Physiology & Behavior (2020).
• T-pattern detection and analysis for the discovery of hidden features of behaviour. Journal of Neuroscience Methods (2018).
• Why Search for Hidden Repeated Temporal Behavior Patterns: T-Pattern Analysis with Theme. International Journal of Clinical Pharmacology & Pharmacotherapy (2017).
• Discovering Hidden Temporal Patterns in Behavior and Interaction T-Pattern Detection and Analysis with THEME™. Springer (2016).
• T-pattern analysis for the study of temporal structure of animal and human behavior: a comprehensive review. J. Neuroscience Methods (2015).