Aims and Scope

Computational Psychology is an interdisciplinary journal that publishes both theoretical and experimental research of the highest quality across the spectrum of computational psychology. The journal is dedicated to advancing our understanding of human cognition and behavior through the integration of psychological theories with computational methods, neurophysiological data, and biological insights.

Computational Psychology invites submissions of original research that explore complex psychological phenomena through computational models and analyses. We particularly welcome studies that address:
- Perception, Thought, and Emotion: How do computational models help us understand the mechanisms of perception, thought processes, feelings, decision-making, and actions?
- Human-Environment and Social Interactions: How do individuals interact with their environment and others
- Developmental and Degenerative Pathologies: Insights into the computational aspects of developmental and degenerative disorders, including genetic and acquired pathologies.
- Psychometrics and Interactive Analysis: Advanced computational techniques in psychometrics, conversation analysis, and interaction studies. Scale validations using mixed or computational methods.
- Theoretical and Integrative Neuroscience: Theories and experiments that explain complex brain functions and their influence on behavior through computational methods.
- Advanced methodologies: Showcasing novel cutting-edge computational methods used in the analysis and interpretation of psychological data, focusing on innovations in statistics, machine learning, data mining, and modeling.

The journal encourages contributions that bridge the gap between psychological theories and neurobiological underpinnings, providing a platform for research that spans multiple scales of analysis from neuronal to cognitive levels.

Computational Psychology offers a rigorous peer review process, high standards of copy-editing and production, and rapid publication times. The journal publishes a variety of content types including original research, reviews, perspectives, and methodological tutorials.

Our mission is to foster the development and application of computational methods in psychology to advance the understanding of complex human behaviors and their neural correlates.