Publications

This is an incomplete list of publications that describe or use Ikaros.

  1. Ingvarsdottír, K., Johansson, B., Tjøstheim, T. A. & Balkenius, C. A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot. In International Conference on Artificial Neural Networks (pp. 432-443). Cham: Springer Nature Switzerland.
  2. Krantz, A. Stedtler, S, Balkenius, C., Fantasia, V. (2023) Testing the Error Recovery Capabilities of Robotic Speech, The Imperfectly Relatable Robot: An interdisciplinary workshop on the role of failure in HRI, June 03–05, 2018, Stockholm, Sweden.
  3. Tjøstheim, T. A., Johansson, B., & Balkenius, C. (2022). Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers. In International Conference on Simulation of Adaptive Behavior (pp. 103-114). Springer, Cham.
  4. Krantz, A., Balkenius, C., & Johansson, B. (2022). Using Speech to Reduce Loss of Trust in Humanoid Social Robots. SCRITA Workshop Proceedings, arXiv:2208.13688.
  5. Balkenius, C., Tjøstheim, T. A., Krantz, A. & Johansson, B. (2021) Basic Visual Reflexes for a Humanoid Robot. in Billing, E. & Kalckert, A. (Eds), Proceedings of the 16th SweCog Conference, p. 19-21.
  6. Tjøstheim, T. A., Johansson & Balkenius, C. (2021). Direct approach or detour: a comparative model of inhibition and neural ensemble size in behavior selection, Frontiers in Systems Neuroscience, 15, 752219. doi: 10.3389/fnsys.2021.752219
  7. Brinck, I., Heco, L., Sikström, K., Wandsleb, V., Johansson, B. & Balkenius, C. (2020), Humans Perform Social Movements in Response to Social Robot Movements: Motor Intention in Human-Robot Interaction, in 10th IEEE International Conference on Development and Learning and Epigenetic Robotics.
  8. Balkenius, C., Tjøstheim, T. A., Johansson, B., Wallin, A. & Gärdenfors, P. (2020). The Missing Link between Memory and Reinforcement Learning, Frontiers in Psychology, submitted.
  9. Johansson, B., Tjøstheim, T. and Balkenius, C. (2020). Epi: An Open Humanoid Platform for Developmental Robotics. International Journal of Advanced Robotic Systems, 17(2).
  10. Balkenius, C., Tjøstheim, T., and Johansson, B., (2020). Ikaros: A Framework for Controlling Robots with System-Level Brain Models. International Journal of Advanced Robotic Systems, 17(3).
  11. Tjøstheim, T. A., and Johansson, B. and Balkenius, C. (2019). A Computational Model of Trust-, Pupil-, and Motivation Dynamics, Proceedings of HAI 2019. doi: 10.1145/3349537.3351896
  12. Tärning, Tjøstheim & Johansson (2019). Communicating Emotional State and Personality with Eye-color and Light Intensity, HAI ’19
  13. Tjøstheim, T. A., and Johansson, B. and Balkenius, C. (2019). A Computational Model of Trust-, Pupil-, and Motivation Dynamics, accepted for HAI 2019
  14. Balkenius, C., Fawcett, C., Falck-Ytter, T., Gredebäck, G. and Johansson, B. (2019). Pupillary Correlates of Emotion and Cognition: A Computational Model, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 903-907. doi:10.1109/NER.2019.8717091
  15. Tjøstheim, T. A., and Johansson, B. and Balkenius, C. (2019). Cumulative Inhibition in Spiking Networks, Proceedings of the 9th International IEEE EMBS Conference On Neural Engineering (NER’19).
  16. Johansson, B., Tjøstheim, T. A. and Balkenius, C. (2019). A Computational Model of the Acoustic Startle Reflex, Proceedings of the 9th International IEEE EMBS Conference On Neural Engineering (NER’19).
  17. Balkenius, C., Tjøstheim, T. A., Johansson, B. & Gärdenfors, P. (2018). From focused thought to reveries: A memory system for a conscious robot. Frontiers in Robotics and AI. doi:10.3389/frobt.2018.00029
  18. Gharaee, Z., Gärdenfors, P. and Johnsson, M. (2017). Online Recognition of Actions Involving Objects. Journal of Biologically Inspired Cognitive Architectures, 22, 10-19.
  19. Gharaee, Z., Gärdenfors, P. and Johnsson, M. (2017). Online Recognition of Actions Involving Objects. In the proceedings of BICA 2017, Moscow, Russian Federation.
  20. Gharaee, Z., Gärdenfors, P. and Johnsson, M. (2017). First and Second Order Dynamics in a Hierarchical SOM system for Action Recognition. Applied Soft Computing, 59, 574-585.
  21. Johansson, B. and Balkenius, C. (2017). A Computational Model of Pupil Dilation. Connection Science.
  22. Gharaee, Z., Gärdenfors, P. and Johnsson, M. (2017). Hierarchical Self-Organizing Maps System for Action Classification. Proceedings of in the proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Porto, Portugal.
  23. Lindberg, M. et al. (2017). Does a robot tutee increase engagement in a learning-by-teaching situation? Proceedings of IVA 2017.
  24. Lindberg, M. et al. (2017). Designing mental states in a humanoid robot Proceedings of IVA 2017.
  25. Sandberg, H., Liljenberg, M., Eriksson, M. & Lindberg, M. (2017). Designing mental states in a humanoid robot. In Balkenius, C., Gulz, A., Haake, M & Wallergård, M. (2017). Intelligent, socially oriented technology III: Projects by teams of master level students in cognitive science and engineering, LUCS 168.
  26. Holk, S., Lindgren, S., Olofzon, R. & Rosén, J. (2017). Implementing natural gazing behaviour in a social robot. In Balkenius, C., Gulz, A., Haake, M & Wallergård, M. (2017). Intelligent, socially oriented technology III: Projects by teams of master level students in cognitive science and engineering, LUCS 168.
  27. Anersson, E. Andréasson, H., Holmstedt, B., Olsson, F. & Ström, F. (2017). Are you looking at me? In Balkenius, C., Gulz, A., Haake, M & Wallergård, M. (2017). Intelligent, socially oriented technology III: Projects by teams of master level students in cognitive science and engineering, LUCS 168.
  28. Gharaee, Z., Gärdenfors, P. and Johnsson, M. (2016). Action Recognition Online with Hierarchical Self-Organizing Maps. In the proceedings of the 12th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS 2016), Naples, Italy.
  29. Buonamente, M., Dindo, H. and Johnsson, M. (2016). Hierarchies of Self-Organizing Maps for Action Recognition. Cognitive Systems Research.
  30. Buonamente, M., Dindo, H. and Johnsson, M. (2015). Discriminating and Simulating Actions with the Associative Self-Organizing Map. Connection Science.
  31. Buonamente, M., Dindo, H. and Johnsson, M. (2016). Hierarchies of Self-Organizing Maps for Action Recognition. Cognitive Systems Research.
  32. Johansson, B, and Balkenius, C. (2016). Building the Builder Robot. LUCS Minor, 19.
  33. Gil, D., Garcia, J., Cazorla, M. and Johnsson, M. (2015). SARASOM - A Supervised Architecture based on the Recurrent Associative SOM. Neural Computing and Applications, 26, 5,1103-1115.
  34. Buonamente, M., Dindo, H. and Johnsson, M. (2015). Discriminating and Simulating Actions with the Associative Self-Organizing Map. Connection Science, 27, 2, 118-136.
  35. Balkenius, C. & Johansson, B. (2015). Developing flexible skills (abstract), in Billing, E., Lindblom, J. and Ziemke, T. (Eds) Proceedings of the 2015 SweCog Conference.
  36. Tjøstheim. T. & Balkenius, C. (2015). What difference does it make? A computational model of sameness (abstract), in Billing, E., Lindblom, J. and Ziemke, T. (Eds) Proceedings of the 2015 SweCog Conference.
  37. Bergström, T., Jansson, E. and Nilsson, T. (2015). Behavior Emulating Non-humanoid Decision Enacting Robot – an implemented cognitive model of social attention. In Balkenius, C., Gulz, A., Haake, M. and Wallergård, M. (Eds.) Intelligent, socially oriented technology II, 149-158.
  38. Innab, A., Birgisson, B. R. and Tjøstheim, T. A. (2015). Animating natural robotic movements. In Balkenius, C., Gulz, A., Haake, M. and Wallergård, M. (Eds.) Intelligent, socially oriented technology II, 159-174.
  39. Bagge, R., Knape, O, Siljebråt, H. (2015) Hur tittar maänniskor? In Balkenius, C., Gulz, A., Haake, M. and Wallergård, M. (Eds.) Intelligent, socially oriented technology II, 175-190.
  40. Buonamente, M., Dindo, H. and Johnsson, M. (2014). Action Recognition based on Hierarchical Self-Organizing Maps. In the proceedings of the International Workshop on Artificial Intelligence and Cognition (AIC 2014), Turin, Italy.
  41. Buonamente, M., Dindo, H. and Johnsson, M. (2013). Simulating Actions with the Associative Self-Organizing Map. In the proceedings of the International Workshop on Artificial Intelligence and Cognition (AIC 2013), Turin, Italy.
  42. Buonamente, M., Dindo, H. and Johnsson, M. (2013). Recognizing Actions with the Associative Self-Organizing Map. In the proceedings of the 24th International Conference on Information, Communication and Automation Technologies (ICAT 2013), Sarajevo, Bosnia and Herzegovina.
  43. Buonamente, M., Dindo, H. and Johnsson, M. (2013). Simulating Actions with the Associative Self-Organizing Map. In Proceedings of the International Workshop on Artificial Intelligence and Cognition (AIC 2013), Turin, Italy.
  44. Drejing, K., Lagerstedt, E., Nordehammar, K. and Nyström. L. (2013). Attention in Cognitive Robotics. In Balkenius, C., Gulz, A., Haake, M. & Johansson, B. Intelligent, socially oriented technology. Lund University Cognitive Studies, 154.
  45. Lindstén, E., Hansson, T., Kristiansson, R., Studsgård, A. and Thern, L. (2013). Does the appearance of a robot affect attention seeking behaviour? In Balkenius, C., Gulz, A., Haake, M. & Johansson, B. Intelligent, socially oriented technology. Lund University Cognitive Studies, 154.
  46. Bjerggard, C., Hadzovic, T., Hallberg, J and Klang, O. (2913). Automatic Generous/Defence Alternator. In Balkenius, C., Gulz, A., Haake, M. & Johansson, B. Intelligent, socially oriented technology. Lund University Cognitive Studies, 154.
  47. Motallebipour, H., Andersson, B., Gunnarsson, E., Larsson, F. and Persson, J. (2913). Goal Emulation in a Drummer Robot. In Balkenius, C., Gulz, A., Haake, M. & Johansson, B. Intelligent, socially oriented technology. Lund University Cognitive Studies, 154.
  48. Balkenius, C., Johansson, B. (2012). Attention modulation in hierarchical self-organizing convolution networks (abstract). Deep Hierarchies in Vision. Vienna 2012.
  49. Johnsson, M. and Gil, D. (2011). Internal Simulation of Perceptions and Actions. In From Brains to Systems: Brain-Inspired Cognitive Systems 2010, 87-100, Springer, ISBN 978-1-4614-0163-6.
  50. Gil, D., Garcia, J., Cazorla, M. and Johnsson, M. (2011). Predictions Tasks with Words and Sequences: Comparing a Novel Recurrent Architecture with the Elman Network. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, California, USA. 1042-1048. ISBN: 978-1-4244-9636-5.
  51. Johnsson, M., Balkenius, C. and Hesslow, G. (2011). Multimodal System Based on Self-Organizing Maps. In Madani, K., Correia, A.D., Rosa, R., and Filipe, J. (Eds.) Studies in Computational Intelligence, 343, 251-263, Springer, ISBN 978-3-642-20205-6.
  52. Johnsson, M., Gil, D., Hesslow, G. and Balkenius C. (2011). Internal Simulation in a Bimodal System. In Kofod-Petersen, A., Heintz, F., and Langseth, H. (Eds.) Proceedings of the Scandinavian Conference on Artificial Intelligence (SCAI) 2011, Trondheim, Norway, IOS Press, 173-182. ISBN: 978-1-60750-753-6.
  53. Johnsson, M. and Balkenius, C. (2011). Sense of Touch in Robots with Self-Organizing Maps. ense of Touch in Robots with Self-Organizing Maps. IEEE Transactions on Robotics, 27, 3, 498-507.
  54. Johnsson, M., Martinsson, M., Gil, D. and Hesslow, G. (2011). Associative Self-Organizing Map. In Mwasiagi, J.I. (Ed), Self Organising Maps - Applications and Novel Algorithm Design, INTECH, 603-626. ISBN: 978-953-307-546-4.
  55. Gil, D., and Johnsson, M. (2010). Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks. In Bol, R. (Ed.) Proceedings of SAIS 2010, Uppsala, Sweden. 15-24.
  56. Johnsson, M., Gil, D., Balkenius, C. and Hesslow, G. (2010). Supervised Architectures for Internal Simulation of Perceptions and Actions. In Hernandez, C., Gomez, J., and Sanz, R. (Eds.) Proceedings of Brain Inspired Cognitive Systems (BICS) 2010, Madrid, Spain. ISBN 978-84-614-1870-1 / 978-84-614-1869-5.
  57. Balkenius, C., Morén, J., Johansson, B and Johnsson, M. (2010). Ikaros: Building Cognitive Models for Robots. Advanced Engineering Informatics, 24, 1, 40-48. [doi: 10.1016/j.aei.2009.08.003] [PDF]
  58. Johnsson, M., and Balkenius, C. (2010). Haptic Perception with Self-Organizing ANNs and an Anthropomorphic Robot Hand. Journal of Robotics, vol. 2010, Article ID 860790, 9 pages.
  59. Johnsson, M., Balkenius, C., and Hesslow, G. (2009). Neural Network Architecture for Crossmodal Activation and Perceptual Sequences. Papers from the AAAI Fall Symposium (Biologically Inspired Cognitive Architectures) 2009, Arlington, Virginia, USA. 85-86.
  60. Johnsson, M., and Balkenius, C. (2009). Experiments with Self-Organizing Systems for Texture and Hardness Perception. Global Journal of Computer Science and Technology, 1.2, 53-62.
  61. Johnsson, M., Morén, J., and Winberg, S. (2009). Interactions between Motivation, Emotion and Attention: From Biology to Robotics. In Canamero, L., Oudeyer, P.-Y. & Balkenius, C. Proceedings of the Ninth International Conference on Epigenetic Robotics. Lund Univeristy Cognitive Studies, 145.
  62. Johnsson, M., Balkenius, C., and Hesslow, G. (2009). Associative Self-Organizing Map. In the proceedings of the International Joint Conference on Computational Intelligence (IJCCI) 2009, Funchal, Madeira, Portugal, 363-370.
  63. Johnsson, M. (2009). Sense of Touch in Robots. An investigation into how a sense of touch could be implemented in robots. PhD thesis from the Dept. of Cognitive Science, Lund University.
  64. Johansson, B. and Balkenius, C. (2009). Prediction Time in Anticipatory Systems. In Pezzulo, G., Butz, M., Sigaud, O. and Baldassare, G. (Eds.). Anticipatory Behavior in Adaptive Learning Systems (ABiALS 2008). Berlin: Springer. [doi: 10.1007/978-3-642-02565-5]
  65. Balkenius, C. and Winberg, S. (2008). Fast Learning in an Actor-Critic Architecture with Reward and Punishment, In A. Holst, P. Kreuger and P. Funk (Eds) Tenth Scandinavian Conference on Artificial Intelligence (SCAI 2008) (pp. 20-27). Frontiers in Artificial Intelligence and Applications, 173. IOS Press. ISBN: 978-1-58603-867-0.
  66. Johnsson, M., and Balkenius, C. (2008). Recognizing Texture and Hardness by Touch. In Proceedings of the 2008 IEEE International Conference on Intelligent Robots and Systems (IROS 2008) (pp. 482-487), Nice, France.
  67. Balkenius, C., Förster, A., Johansson, B., and Thorsteinsdottir, V. (2008). Anticipation in Attention. In Pezzulo, G., Butz, M. V., Castelfranchi, C., and Falcone, R. The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. LNAI, 5225. Berlin: Springer.
  68. Balkenius, C., Morén, J., Johansson, B. and Johnsson, J. (2008). Ikaros: Building Cognitive Models for Robots. In Hülse, M. and Hild, M. (Eds). Workshop on current software frameworks in cognitive robotics integrating different computational paradigms.
  69. Johansson, B. and Balkenius, C. (2008). Learning to Anticipate the Movements of Intermittently Occluded Objects. In Schlesinger, M., Berthouze, L. and Balkenius, C. Proceedings of the Eighth International Conference on Epigenetic Robotics, Lund Univeristy Cognitive Studies, 139.
  70. Johnsson, M., and Balkenius, C. (2008). Associating SOM Representations of Haptic Submodalities. In Ramamoorthy, S. and Hayes, G. M. (Eds.) Towards Autonomous Robotic Systems 2008, The University of Edinburgh, Edinburgh, UK, 124-129.
  71. Johnsson, M., Gil Mendez, D., and Balkenius, C. (2008). Touch Perception with SOM, Growing Cell Structures and Growing Grids. In Ramamoorthy, S. and Hayes, G. M. (Eds.) Towards Autonomous Robotic Systems 2008, The University of Edinburgh, Edinburgh, UK, 79-85.
  72. Johnsson, M., & Balkenius, C. (2007). Experiments with Proprioception in a Self-Organizing System for Haptic Perception. In Wilson, M., S., Labrosse, F., Nehmzow, U., Melhuish, C., Witkowski, M. (Eds.) Towards Autonomous Robotic Systems 2007, University of Wales, Aberystwyth, UK, 239-245.
  73. Johnsson, M., & Balkenius, C. (2007). LUCS Haptic Hand III - An Anthropomorphic Robot Hand with Proprioception. LUCS Minor 13.
  74. Balkenius, C. and Johansson, B. (2007). Anticipatory Models in Gaze Control: A Developmental Model. Cognitive Processing, 8, 167-174.
    [doi:10.1007/s10339-007-0169-8].
  75. Johnsson, M. and Balkenius, C. (2007). Neural Network Models of Haptic Shape Perception, Robotics and Autonomous Systems, 55, 720-727.
    [doi:10.1016/j.robot.2007.05.003].
  76. Johansson, B. and Balkenius, C. (2007). An Experimental Study of Anticipation in Simple Robot Navigation. In Butz, M. (Ed.) Anticipatory Behavior in Adaptive Learning Systems II. Berlin: Springer.
  77. Kiryazov, K., Petkov, G., Grinberg, M. , Kokinov, B., and Balkenius, C. (2007). The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots. In Butz, M. (Ed.) Anticipatory Behavior in Adaptive Learning Systems II. Springer, in press.
  78. Johansson, B. and Balkenius, C. (2007). An Experimental Study of Anticipation in Simple Robot Navigation. In Butz, M. (Ed.) Anticipatory Behavior in Adaptive Learning Systems II. Springer, in press.
  79. Johansson, B. and Balkenius, C. (2006). The benefits of anticipation: an experimental study. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G. (Eds.), Proceedings of third workshop on anticipatory behavior in adaptive learning systems (ABiALS), Rome.
  80. Balkenius, C., and Johansson, B. (2006). A developmental approach to dynamic scene understanding. Proceedings of the Sixth International Conference on Epigenetic Robotics (p. 165). Lund University Cognitive Studies, 128.
  81. Johnsson, M., and Balkenius, C. (2006). Haptic Perception with a Robotic Hand. In Honkela, T., Raiko, T., Kortela, J. and Valpola, H. (Eds.) Proceedings of the Ninth Scandinavian Conference on Artificial Intelligence (SCAI 2006), Helsinki University of Technology, Espoo, Finland, 127-134.
  82. Johnsson, M., and Balkenius, C. (2006). A Robot Hand with T-MPSOM Neural Networks in a Model of the Human Haptic System. In Witkowski, M., Nehmzow, U., Melhuish, C., Moxey, E. and Ellery, A. (Eds.) Towards Autonomous Robotic Systems 2006, Surrey University, Guildford, UK, 80-87.
  83. Johnsson, M., and Balkenius, C. (2006). Experiments with Artificial Haptic Perception in a Robotic Hand. Journal of Intelligent and Fuzzy Systems, 17, 4, 377-385. [OpenURL].
  84. Johnsson, M., and Balkenius, C. (2006).II LUCS Haptic Hand II. LUCS Minor, 9.
  85. Björne, P., and Balkenius, C. (2005). A model of attentional impairments in autism: First steps toward a computational theory. Cognitive Systems Research, 6, 3, 193-204.
    [doi:10.1016/j.cogsys.2004.11.003].
  86. Johnsson, M., Pallbo, R., and Balkenius, C. (2005). A Haptic System for the Lucs Haptic Hand I. In Mira, J., and Alvarez, J.R. (Eds.), Mechanisms, Symbols, and Models Underlying Cognition: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Part I, 386-395. Springer-Verlag.
  87. Balkenius, C., and Johansson, B. (2005). Event Prediction and Object Motion Estimation in the Development of Visual Attention. Proceedings of the Fifth International Conference on Epigenetic Robotics. Nara, Japan.
  88. Johansson, B., and Balkenius, C. (2005). Robots with Anticipation and Attention. In Funk, P. , Rognvaldsson, T., and Xiong, N. (Eds.) Advances in Artificial Intelligence in Sweden (pp. 202-204). Västerås, Sweden: Mälardalen University.
  89. Johnsson, M., Pallbo, R., and Balkenius, C. (2005). Experiments with Haptic Perception in a Robotic Hand. In Funk, P. , Rognvaldsson, T., and Xiong, N. (Eds.) Advances in Artificial Intelligence in Sweden (pp. 81-86). Västerås, Sweden: Mälardalen University.
  90. Björne, P., and Balkenius, C. (2005). The Role for Context in Motor Development in Autism. Proceedings of the Fifth International Conference on Epigenetic Robotics. Nara, Japan.
  91. Björne, P., and Balkenius, C. (2005). Inhibition in Cognitive Development: Contextual Impairments in Autism. To appear in Proceedings of the International Conference on Development and Learning (ICDL), 187 Osaka, Japan.
  92. Johansson, B., and Balkenius, C. (2005). It's a Child's Game: Investigating Cognitive Development with Playing Robots. Proceedings of the International Conference on Development and Learning (ICDL), 164, Osaka, Japan.
  93. Johnsson, M. (2005). LUCS Haptic Hand I – Technical Report. LUCS Minor, 8.
  94. Björne, P., and Balkenius, C. (2004). Cognitive development in context: Learning to pay attention. In Proceedings of ICDL '04.
  95. Balkenius, C., Åström, K. and Eriksson, A. P. (2004). Learning in visual attention. In ICPR '04 workshop on learning for adaptable visual systems (LAVS).
  96. Gustafsson, M., and Balkenius, C. (2004). Using semantic web techniques for validation of cognitive models against neuroscientific data. In Proceedings of AILS '04. Lund: Dept. of Computer Science.
  97. Balkenius, C., and Winberg, S. (2004). Cognitive modeling with context sensitive reinforcement learning. In Proceedings of AILS '04. Lund: Dept. of Computer Science.
  98. Johnsson, M. (2004). Cortical Plasticity - A Model of Somatosensory Cortex. A study of cortical reorganization, after nerve injuries between the hand and the brain, with the aid of computational models. MSc thesis from the Dept. of Cognitive Science, Lund University.
  99. Balkenius, C., and Björne, P. (2004). First steps towards a computational theory of autism. In Proceedings of EpiRob '04.
  100. Balkenius, C., and Morén, J. (2003). From isolated components to cognitive systems. ERCIM News, April 2003, 16. [online]
  101. Balkenius, C., Johansson, A. J, and Balkenius, A. (2003). Color constancy in visual scene perception. Lund University Cognitive Studies, 98.
  102. Balkenius, C. (2003). Cognitive processes in contextual cueing. In Schmalhofer, F., Young, R. M., and Katz, G. (Eds.), Proceedings of the European Cognitive Science Conference 2003 (pp. 43-47). Mahwah, NJ: Lawrence Erlbaum Associates.
  103. Morén, J. (2003). Emotion and Learning - A Computational Model of the Amygdala, Lund University Cognitive Studies, 93.