Brain Inspired Cognitive Systems 2004 |
29 August - 1 September 2004, University of Stirling, Scotland, UK |
CNS1.1 | Prof Roman Borisyuk, Yakov Kaznovich, | Synchronisation-based computational model of attention-guided object selection and novelty detection |
CNS1.2 | Prof John Taylor, Nickolaos Fragopanagos | Modelling the Interaction of Attention and Emotion |
CNS1.3 | Mr L. Andrew Coward | The Recommendation Architecture Model for Human Cognition |
CNS2.1 | Dr Carmen M. Bretones Callejas | Embodied Construction Grammar Approach to Compostitionality and Conceptual Representation |
CNS2.2 | NR Taylor, M Hartley, JG Taylor | The Learning of Insertions by the Cerebellum | CNS2.3 | Dr YingLiang Ma, Helena Paterson, Alexander Dolia, Sung-Bae Cho, Ales Ude, Frank Pollick | Towards a biologically-inspired representation of human affect | CNS2.4 | Dr Simon Levy | Neuro-fractal composition of meaning: toward a collage theorem for language |
CNS4.1 | Mr Ivan Moura, Pierre Bonzon | A Computational Framework for Implementing Agent Consciousness |
CNS4.2 | Mr Hugo Marques, Eugénio Oliveira | Stereoscopic depth: a biological inspired judgement |
CNS4.3 | Dr Stefano Piva, Luca Marchesotti, Carlo Bonamico, Carlo Regazzoni | Context based message selection strategies in a biologically inspired ambient intelligence system |
CNS5.1 | Mr Thang Hoang, Wael El-Deredy, Paulo J. G. Lisboa, Francis McGlone | Inter-trial phase synchronisation in the ERP Delta band accounts for differences in oddball P300 |
CNS5.2 | Mr Thang Hoang, Wael El-Deredy, Deborah E. Bentley, Anthony K.P. Jones, Paulo J. Lisboa, Francis McGlone | Dipole source localisation using independent components analysis: single trial localisation of laser evoked pain |
CNS5.3 | Mr Martin Böhme, Christopher Krause, Dr.-Ing. Erhardt Barth, Prof. Dr. rer. nat. Thomas Martinetz | Eye Movement Predictions Enhanced by Saccade Detection |
CNS6.1 (poster P1) | Prof John Taylor | A Mathematical Framework for the Global Brain |
CNS6.3 (poster P3) | Mr Rabinder Lee | Demonstrating Volition and Affective Decision Making in Brain-Inspired Neural Models |
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