Essentializing the binary self: Individualism and collectivism in cultural neuroscience

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

  • M. Martínez Mateo
  • M. Cabanis
  • Julian Stenmanns
  • S. Krach
Within the emerging field of cultural neuroscience (CN) one branch of research focuses on the neural underpinnings of “individualistic/Western” vs. “collectivistic/Eastern” self-views. These studies uncritically adopt essentialist assumptions from classic cross-cultural research, mainly following the tradition of Markus and Kitayama (1991), into the domain of functional neuroimaging. In this perspective article we analyze recent publications and conference proceedings of the 18th Annual Meeting of the Organization for Human Brain Mapping (2012) and problematize the essentialist and simplistic understanding of “culture” in these studies. Further, we argue against the binary structure of the drawn “cultural” comparisons and their underlying Eurocentrism. Finally we scrutinize whether valuations within the constructed binarities bear the risk of constructing and reproducing a postcolonial, orientalist argumentation pattern.
Original languageEnglish
Article number289
JournalFrontiers in Human Neuroscience
Volume7
Number of pages4
ISSN1662-5161
DOIs
Publication statusPublished - 03.06.2013
Externally publishedYes

DOI

Recently viewed

Publications

  1. Using haar wavelets for fault detection in technical processes
  2. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  3. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  4. Inversion of Fuzzy Neural Networks for the Reduction of Noise in the Control Loop for Automotive Applications
  5. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  6. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  7. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  8. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  9. Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant
  10. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  11. Expertise in research integration and implementation for tackling complex problems
  12. Set-oriented numerical computation of rotation sets
  13. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  14. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  15. Machine Learning and Knowledge Discovery in Databases
  16. Making an Impression Through Openness
  17. Building a process layer for business applications using the blackboard pattern
  18. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  19. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  20. Global text processing in CSCL with learning protocols
  21. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  22. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  23. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  24. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  25. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  26. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  27. Computational modeling of material flow networks
  28. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  29. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  30. Anomaly detection in formed sheet metals using convolutional autoencoders
  31. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  32. Framework for setting up and operating biobanks
  33. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing