Home Structured Design • Download e-book for kindle: Creating Brain-Like Intelligence: From Basic Principles to by Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter,

Download e-book for kindle: Creating Brain-Like Intelligence: From Basic Principles to by Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter,

By Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya

ISBN-10: 3642006159

ISBN-13: 9783642006159

This state-of-the-art-survey files the medical final result of the overseas Symposium „Creating Brain-Like Intelligence", which came about in Hohenstein, Germany, in February 2007. It provides an advent to this rising interdisciplinary box through drawing jointly 15 articles from researchers throughout a huge diversity of disciplines.

Brain-Like intelligence makes an attempt a illustration of our surroundings together with the procedure itself. It has to deal with a continuing inflow of an incredible quantity of generally unspecific details and can't be pointed out with a novel performance. it's the versatility of brain-like intelligence, its robustness and plasticity which makes it the article of our quest.

After 50 years of synthetic intelligence study notwithstanding, we're nonetheless unable to imitate even the reduce point sensory features of animals. yet we're commencing to circulation within the correct path via deciding on the largest stumbling blocks and beginning to comprehend the autonomy, flexibility, and robustness of clever organic structures. This selection of articles is facts of this development and represents the present country of paintings in numerous learn fields which are embraced by way of brain-like intelligence.

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Additional resources for Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems

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26, 63–72 (2006) 44. : Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. USA 103, 19518–19523 (2006) 45. : Scale-free brain functional network. Phys. Rev. Lett. 94, 018102 (2005) 46. : Small-world networks and functional connectivity in alzheimer’s disease. Cerebr. Cortex 17, 92–99 (2007) 47. : Towards a network theory of cognition. Neural Netw. 13, 861–870 (2000) 48. : Contexts and catalysts. Neuroinformatics 2, 175–181 (2004) 49. : Functional connectivity in the motor cortex of resting human brain using echo-planar mri.

E. within approximately 5–50 Hz. We [15] were particularly interested in modelling the responses of ventral premotor cortex (VPC) neurons [45]. e the entire cascade of decision-making processing linking the sensory evaluation to the motor response. Many VPC neurons encode f1 during both the stimulus presentation and the delay period. e. the sign of (f2-f1), and correlates with the behavioural response of the monkey. e. these neurons are only activated during the presentation of f2, with some responding to the condition f1f2.

B) Diagram of the known sensorimotor interactions in the system. Arm movements displace the visual target which in turn is tracked with the pan-tilt unit. Under normal operation (condition “fov” in panel C) target movements result in smooth visual tracking. (C) Two conditions are contrasted in these plots, smooth visual tracking (“fov” or foveation) and random de-coupled movements (“rnd”). Plots show distributions of several informationtheoretic measures (entropy, mutual information, integration and complexity) across the visual sensors of the robot.

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Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems by Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya


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