Abstract：
:This paper deals with the problem of representing and generating unconstrained aiming movements of a limb by means of a neural network architecture. The network produced time trajectories of a limb from a starting posture toward targets specified by sensory stimuli. Thus the network performed a sensory-motor transformation. The experimenters trained the network using a bell-shaped velocity profile on the trajectories. This type of profile is characteristic of most movements performed by biological systems. We investigated the generalization capabilities of the network as well as its internal organization. Experiments performed during learning and on the trained network showed that: (i) the task could be learned by a three-layer sequential network; (ii) the network successfully generalized in trajectory space and adjusted the velocity profiles properly; (iii) the same task could not be learned by a linear network; (iv) after learning, the internal connections became organized into inhibitory and excitatory zones and encoded the main features of the training set; (v) the model was robust to noise on the input signals; (vi) the network exhibited attractor-dynamics properties; (vii) the network was able to solve the motor-equivalence problem. A key feature of this work is the fact that the neural network was coupled to a mechanical model of a limb in which muscles are represented as springs. With this representation the model solved the problem of motor redundancy.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Massone L,Bizzi Edoi
10.1007/BF02414903subject
Has Abstractpub_date
1989-01-01 00:00:00pages
417-25issue
6eissn
0340-1200issn
1432-0770journal_volume
61pub_type
杂志文章abstract：:Inner hair cells (IHCs) transform the mechanical movements of the basilar membrane into electrical impulses. The impulse coding of the IHCs is the main information carrier in the auditory process and is the basis for improvements of cochlea implants as well as for low rate, high-quality speech processing and compressi...
journal_title：Biological cybernetics
pub_type： 杂志文章
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journal_title：Biological cybernetics
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journal_title：Biological cybernetics
pub_type： 杂志文章
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更新日期：1999-08-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
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更新日期：1999-08-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
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更新日期：1998-02-01 00:00:00
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journal_title：Biological cybernetics
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00203449
更新日期：1990-01-01 00:00:00
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pub_type： 传,历史文章,杂志文章,评审
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00347640
更新日期：1980-01-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00364156
更新日期：1988-01-01 00:00:00
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pub_type： 杂志文章
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journal_title：Biological cybernetics
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更新日期：1984-01-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章,评审
doi：10.1007/s00422-011-0446-6
更新日期：2011-07-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00364134
更新日期：1988-01-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00199055
更新日期：1995-06-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00453373
更新日期：1981-01-01 00:00:00
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journal_title：Biological cybernetics
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journal_title：Biological cybernetics
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journal_title：Biological cybernetics
pub_type： 杂志文章
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更新日期：2012-07-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00326681
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journal_title：Biological cybernetics
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更新日期：1999-03-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00337293
更新日期：1979-08-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章,评审
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journal_title：Biological cybernetics
pub_type： 杂志文章
doi：10.1007/BF00201980
更新日期：1991-01-01 00:00:00
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journal_title：Biological cybernetics
pub_type： 杂志文章,评审
doi：10.1007/BF00204770
更新日期：1989-01-01 00:00:00
