Distributed, layered and reliable computing nets to represent neuronal receptive fields
Receptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli.In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the respon...
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| Format: | Article |
| Language: | English |
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AIMS Press
2013-09-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.343 |
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| author | Arminda Moreno-Díaz Gabriel de Blasio Moreno-Díaz Jr. |
| author_facet | Arminda Moreno-Díaz Gabriel de Blasio Moreno-Díaz Jr. |
| author_sort | Arminda Moreno-Díaz |
| collection | DOAJ |
| description | Receptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli.In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the responsessuggests the existence of a kind of distributed computation prior to the integration by the final cell which is evidently supported by the anatomy.We describe a new kind of discrete and continuous filters to model the kind of computations taking place in the receptive fields of retinal cells. To show their performancein the analysis of different non-trivial neuron-like structures, we use a computer tool specifically programmed by the authors to that effect. This tool is also extended to studythe effect of lesions on the whole performance of our model nets. |
| format | Article |
| id | doaj-art-a7ebbcada34f4027a3e41fd6b39a2a0f |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2013-09-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-a7ebbcada34f4027a3e41fd6b39a2a0f2025-01-24T02:28:02ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-09-0111234336110.3934/mbe.2014.11.343Distributed, layered and reliable computing nets to represent neuronal receptive fieldsArminda Moreno-Díaz0Gabriel de Blasio1Moreno-Díaz Jr.2Facultad de Informática, Universidad Politécnica de Madrid (UPM)Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran CanariaInstituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran CanariaReceptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli.In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the responsessuggests the existence of a kind of distributed computation prior to the integration by the final cell which is evidently supported by the anatomy.We describe a new kind of discrete and continuous filters to model the kind of computations taking place in the receptive fields of retinal cells. To show their performancein the analysis of different non-trivial neuron-like structures, we use a computer tool specifically programmed by the authors to that effect. This tool is also extended to studythe effect of lesions on the whole performance of our model nets.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.343hermite functionslayered and distributed computationnewton filtersweight profile analysis and synthesis.reliable nets |
| spellingShingle | Arminda Moreno-Díaz Gabriel de Blasio Moreno-Díaz Jr. Distributed, layered and reliable computing nets to represent neuronal receptive fields Mathematical Biosciences and Engineering hermite functions layered and distributed computation newton filters weight profile analysis and synthesis. reliable nets |
| title | Distributed, layered and reliable computing nets to represent neuronal receptive fields |
| title_full | Distributed, layered and reliable computing nets to represent neuronal receptive fields |
| title_fullStr | Distributed, layered and reliable computing nets to represent neuronal receptive fields |
| title_full_unstemmed | Distributed, layered and reliable computing nets to represent neuronal receptive fields |
| title_short | Distributed, layered and reliable computing nets to represent neuronal receptive fields |
| title_sort | distributed layered and reliable computing nets to represent neuronal receptive fields |
| topic | hermite functions layered and distributed computation newton filters weight profile analysis and synthesis. reliable nets |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.343 |
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