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IEEE Transactions on Autonomous Mental Development

Issue 4 • Date Dec. 2011

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  • Table of contents

    Publication Year: 2011, Page(s): C1
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  • IEEE Transactions on Autonomous Mental Development publication information

    Publication Year: 2011, Page(s): C2
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  • Guest Editorial: Special Issue on Computational Modeling of Neural and Brain Development

    Publication Year: 2011, Page(s):273 - 275
    Cited by:  Papers (1)
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  • From Infant Brains to Robots: A Report From the IEEE International Conference on Development and Learning (ICDL)-International Conference on Epigenetic Robotics (EpiRob) 2011 Conference

    Publication Year: 2011, Page(s): 276
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  • A Model of Neuronal Intrinsic Plasticity

    Publication Year: 2011, Page(s):277 - 284
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (755 KB) | HTML iconHTML

    Recent experimental results have accumulated evidence that the neurons can change their response characteristics to adapt to the variations of the synaptic inputs, which is the so-called neuronal intrinsic plasticity mechanism. In this paper, we present a new model on neuronal intrinsic plasticity. We first show that the probability distribution of the neuronal firing rates is more suitable to be ... View full abstract»

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  • Firing Rate Homeostasis for Dynamic Neural Field Formation

    Publication Year: 2011, Page(s):285 - 299
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1763 KB) | HTML iconHTML

    Dynamic neural fields are recurrent neural networks which aim at modeling cortical activity evolution both in space and time. A self-organized formation of these fields has been rarely explored previously. The main reason for this is that learning-induced changes in effective connectivity constitute a severe problem with respect to network stability. In this paper, we present a novel network model... View full abstract»

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  • Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease

    Publication Year: 2011, Page(s):300 - 311
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (797 KB) | HTML iconHTML

    The paper proposes a novel research framework for building probabilistic computational neurogenetic models (pCNGM). The pCNGM is a multilevel modeling framework inspired by the multilevel information processes in the brain. The framework comprises a set of several dynamic models, namely low (molecular) level models, a more abstract dynamic model of a protein regulatory network (PRN) and a probabil... View full abstract»

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  • A Multiple Context Brain for Experiments With Robot Consciousness

    Publication Year: 2011, Page(s):312 - 323
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (695 KB) | HTML iconHTML

    The PURR-PUSS system (PP) is a versatile model of a human-like brain, designed to be implemented in parallel hardware and embodied in the head of a robot moving in the real world. The aim of the research with PP is to try out mechanisms for learning, intelligence and consciousness. Limitations of resources have dictated that the experiments with PP are made on a personal computer by simulating the... View full abstract»

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  • Why we joined ... [advertisement]

    Publication Year: 2011, Page(s): 324
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  • 2011 List of Reviewers

    Publication Year: 2011, Page(s): 325
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  • 2011 Index IEEE Transactions on Autonomous Mental Development Vol. 3

    Publication Year: 2011, Page(s):326 - 330
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2011, Page(s): C3
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  • IEEE Transactions on Autonomous Mental Development information for authors

    Publication Year: 2011, Page(s): C4
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Aims & Scope

IEEE Transactions on Autonomous Mental Development (TAMD) includes computational modeling of mental development, including mental architecture, theories, algorithms, properties, and experiments.

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Meet Our Editors

Editor-in-Chief
Angelo Cangelosi
Plymouth University