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 sc...
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Superior document: | Frontiers Research Topics |
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Year of Publication: | 2016 |
Language: | English |
Series: | Frontiers Research Topics
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Physical Description: | 1 electronic resource (83 p.) |
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Andrea Soltoggio auth Neural Plasticity for Rich and Uncertain Robotic Information Streams Frontiers Media SA 2016 1 electronic resource (83 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Frontiers Research Topics 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 relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features. English Neuro-robotics emobodied cognition neural plasticity Neural adaptation Cognitive Modeling 2-88919-995-9 Frank van der Velde auth |
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English |
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author |
Andrea Soltoggio |
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Andrea Soltoggio Neural Plasticity for Rich and Uncertain Robotic Information Streams Frontiers Research Topics |
author_facet |
Andrea Soltoggio Frank van der Velde |
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Frank van der Velde |
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Andrea Soltoggio |
title |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_full |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_fullStr |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_full_unstemmed |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_auth |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_new |
Neural Plasticity for Rich and Uncertain Robotic Information Streams |
title_sort |
neural plasticity for rich and uncertain robotic information streams |
series |
Frontiers Research Topics |
series2 |
Frontiers Research Topics |
publisher |
Frontiers Media SA |
publishDate |
2016 |
physical |
1 electronic resource (83 p.) |
isbn |
2-88919-995-9 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT andreasoltoggio neuralplasticityforrichanduncertainroboticinformationstreams AT frankvandervelde neuralplasticityforrichanduncertainroboticinformationstreams |
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n |
ids_txt_mv |
(CKB)3800000000216301 (oapen)https://directory.doabooks.org/handle/20.500.12854/54480 (EXLCZ)993800000000216301 |
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hierarchy_parent_title |
Frontiers Research Topics |
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Neural Plasticity for Rich and Uncertain Robotic Information Streams |
container_title |
Frontiers Research Topics |
author2_original_writing_str_mv |
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1759311354023378944 |
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