Editorial: Neural plasticity for rich and uncertain robotic information streams
نویسندگان
چکیده
منابع مشابه
Editorial: Neural plasticity for rich and uncertain robotic information streams
Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose r...
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ژورنال
عنوان ژورنال: Frontiers in Neurorobotics
سال: 2015
ISSN: 1662-5218
DOI: 10.3389/fnbot.2015.00012