2026-05-30T12:33:48.041Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:3:11936 2026-05-27T11:59:38Z 3

Becoming a PsychoPythonista 2026 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11936 https://www.sciencedirect.com/science/chapter/edited-volume/abs/pii/B9780443302480000140 N. Kovač M. Simeunović H. Farahani T. Bezdan P. Watson This chapter motivates and introduces the use of the programming language, Python, as a tool in cognitive and neuroscientific research. After the foundational content, we discuss data acquisition and preprocessing techniques which are essential for managing the complex datasets typically encountered in neuroscience and cognitive science. We will further explore how Python’s capabilities extend to natural language processing (NLP) and emotion recognition, providing tools for understanding human behavior and communication. We also provide an overview of analyzing electroencephalography and functional magnetic resonance imaging data and then introduce machine learning, emphasizing its value in extracting patterns from complex cognitive data. Techniques such as functional connectivity analysis, which is used to study the relationships between brain regions, will be discussed. The correlation coefficient, a fundamental method for understanding synchronization between brain regions, will be explained both conceptually and practically. Each topic is accompanied by hands-on Python examples. bookPart Academic Press 289 319 https://doi.org/10.1016/B978-0-443-30248-0.00014-0 Introduction to Intricate Artificial Psychology with Python