Download Connectionist Models of Behaviour and Cognition II: by Julien Mayor, Nicholas Ruh, Kim Plunkett PDF

By Julien Mayor, Nicholas Ruh, Kim Plunkett

The neural computational method of cognitive and mental tactics is comparatively new. despite the fact that, Neural Computation and Psychology Workshops (NCPW), first held sixteen years in the past, lie on the center of this fast-moving self-discipline, because of its interdisciplinary nature - bringing jointly researchers from diverse disciplines corresponding to synthetic intelligence, cognitive technological know-how, desktop technological know-how, neurobiology, philosophy and psychology to debate their paintings on types of cognitive strategies. once more, the 11th Neural Computation and Psychology Workshop (NCPW11), held in 2008 on the collage of Oxford (England), displays the interdisciplinary nature and wide variety of backgrounds of this box. This quantity is a suite of peer-reviewed contributions of lots of the papers awarded at NCPW11 through researchers from 4 continents and 15 international locations.

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Extra resources for Connectionist Models of Behaviour and Cognition II: Proceedings of the 11th Neural Computation and Psychology Workshop (Progress in Neural Processing)

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Kanwisher, N. and Mattingley, J. “fMRI Adaptation Reveals Mirror Neurons in Human Inferior Parietal Cortex” Current Biology 18, 1576-1580, 2008. 18. , “Human Cortex: Reflections of Mirror Neurons”, Current Biology 18, R956-R959, 2008. 19. , Gardner, J. Jazayeri, M. , “Executed and Observed Movements Have Different Distributed Representations in Human aIPS”, The Journal of Neuroscience, 28(44):11231-11239, 2008. 20. Albert, R. Jeong, H. , “Error and attack tolerance of complex networks”, Nature 206, 2000; p.

The output of the model is generated in five “finger maps” of a “hand network”. The finger maps encode the finger positions which are required for producing a stable grasp of the object in the input image. At the heart of SAAM’s operation is the assumption that stable grasps are generated by taking into account two types of constraints, the geometrical constraints imposed from the object shape and the anatomical constraints given by the hand. In order to ensure that the hand network satisfies these constraints we followed an approach suggested in Ref.

The plain and dashed lines plot their trends, the action primitives. the network are articulated and show how actions can be represented as scalefree dynamics. 5. Discussion In this paper, we proposed the hypothesis that the mirror neurons system is organized critically as a complex network to represent actions. Our proposal is supported by recent findings suggesting that action representation in the MNS are modeled at different description levels with scale-free dynamics [1, 2, 17] relying on very few neurons [18, 19].

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