Evoluzione di una "fovea" in un organismo artificiale ["FOVEA" evolution in an artificial organism]. Pagliarini, L., Bartolomeo, P., & Parisi, D. Riv. Neurobiologia, 42(3):221–225, 1996. abstract bibtex We describe some simulations using neural networks that examine in which conditions a "fovea" develops on the sensory surface of an organism, i.e., a portion of this surface with greater discriminative power than the remaining portions. A population of simple artificial organisms lives in an environment that contains food and dangerous elements, and it reporduces selectively based on the capacity of each individual to eat the food elements and to avoid the dangerous ones. When the computational resources (number of hidden units of a neural network) are adequate to the complexity of the task, the sensory surface of the organism is homogeneous and there is no formation of a "fovea". When the computational reources are scarce the central portion of the sensory surface becomes a "fovea" in that it has greater discriminative power than the lateral portions. Therefore, when an organism perceives an object laterally it must turn in order to foveate the object and identify it as food or danger, before the organism can decide whether to eat or to avoid the object.
@article{pagliariniEvoluzioneDiFovea1996,
title = {Evoluzione di una "fovea" in un organismo artificiale ["{FOVEA}" evolution in an artificial organism]},
volume = {42},
abstract = {We describe some simulations using neural networks that examine in which conditions a "fovea" develops on the sensory surface of an organism, i.e., a portion of this surface with greater discriminative power than the remaining portions. A population of simple artificial organisms lives in an environment that contains food and dangerous elements, and it reporduces selectively based on the capacity of each individual to eat the food elements and to avoid the dangerous ones. When the computational resources (number of hidden units of a neural network) are adequate to the complexity of the task, the sensory surface of the organism is homogeneous and there is no formation of a "fovea". When the computational reources are scarce the central portion of the sensory surface becomes a "fovea" in that it has greater discriminative power than the lateral portions. Therefore, when an organism perceives an object laterally it must turn in order to foveate the object and identify it as food or danger, before the organism can decide whether to eat or to avoid the object.},
number = {3},
journal = {Riv. Neurobiologia},
author = {Pagliarini, L. and Bartolomeo, P. and Parisi, D.},
year = {1996},
keywords = {neural networks, \#nosource, ⛔ No DOI found},
pages = {221--225},
annote = {PAPERS},
}
Downloads: 0
{"_id":"wPSSRk2JogWuoadub","bibbaseid":"pagliarini-bartolomeo-parisi-evoluzionediunafoveainunorganismoartificialefoveaevolutioninanartificialorganism-1996","author_short":["Pagliarini, L.","Bartolomeo, P.","Parisi, D."],"bibdata":{"bibtype":"article","type":"article","title":"Evoluzione di una \"fovea\" in un organismo artificiale [\"FOVEA\" evolution in an artificial organism]","volume":"42","abstract":"We describe some simulations using neural networks that examine in which conditions a \"fovea\" develops on the sensory surface of an organism, i.e., a portion of this surface with greater discriminative power than the remaining portions. A population of simple artificial organisms lives in an environment that contains food and dangerous elements, and it reporduces selectively based on the capacity of each individual to eat the food elements and to avoid the dangerous ones. When the computational resources (number of hidden units of a neural network) are adequate to the complexity of the task, the sensory surface of the organism is homogeneous and there is no formation of a \"fovea\". When the computational reources are scarce the central portion of the sensory surface becomes a \"fovea\" in that it has greater discriminative power than the lateral portions. Therefore, when an organism perceives an object laterally it must turn in order to foveate the object and identify it as food or danger, before the organism can decide whether to eat or to avoid the object.","number":"3","journal":"Riv. Neurobiologia","author":[{"propositions":[],"lastnames":["Pagliarini"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Bartolomeo"],"firstnames":["P."],"suffixes":[]},{"propositions":[],"lastnames":["Parisi"],"firstnames":["D."],"suffixes":[]}],"year":"1996","keywords":"neural networks, #nosource, ⛔ No DOI found","pages":"221–225","annote":"PAPERS","bibtex":"@article{pagliariniEvoluzioneDiFovea1996,\n\ttitle = {Evoluzione di una \"fovea\" in un organismo artificiale [\"{FOVEA}\" evolution in an artificial organism]},\n\tvolume = {42},\n\tabstract = {We describe some simulations using neural networks that examine in which conditions a \"fovea\" develops on the sensory surface of an organism, i.e., a portion of this surface with greater discriminative power than the remaining portions. A population of simple artificial organisms lives in an environment that contains food and dangerous elements, and it reporduces selectively based on the capacity of each individual to eat the food elements and to avoid the dangerous ones. When the computational resources (number of hidden units of a neural network) are adequate to the complexity of the task, the sensory surface of the organism is homogeneous and there is no formation of a \"fovea\". When the computational reources are scarce the central portion of the sensory surface becomes a \"fovea\" in that it has greater discriminative power than the lateral portions. Therefore, when an organism perceives an object laterally it must turn in order to foveate the object and identify it as food or danger, before the organism can decide whether to eat or to avoid the object.},\n\tnumber = {3},\n\tjournal = {Riv. Neurobiologia},\n\tauthor = {Pagliarini, L. and Bartolomeo, P. and Parisi, D.},\n\tyear = {1996},\n\tkeywords = {neural networks, \\#nosource, ⛔ No DOI found},\n\tpages = {221--225},\n\tannote = {PAPERS},\n}\n\n","author_short":["Pagliarini, L.","Bartolomeo, P.","Parisi, D."],"key":"pagliariniEvoluzioneDiFovea1996","id":"pagliariniEvoluzioneDiFovea1996","bibbaseid":"pagliarini-bartolomeo-parisi-evoluzionediunafoveainunorganismoartificialefoveaevolutioninanartificialorganism-1996","role":"author","urls":{},"keyword":["neural networks","#nosource","⛔ No DOI found"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/cWZv9aDzWwGXE9mgr/My Papers.bib","dataSources":["MDN92uztrK9rBiHJj","ETrv3dJ8d99xS3hnM","uAjmjGrDPcqisdqtM","HxyCDbhEsgZuppBr5","FiAwa3WyFa4YNpBnH","5GYP3zzf4H9cjs52t"],"keywords":["neural networks","#nosource","⛔ no doi found"],"search_terms":["evoluzione","una","fovea","organismo","artificiale","fovea","evolution","artificial","organism","pagliarini","bartolomeo","parisi"],"title":"Evoluzione di una \"fovea\" in un organismo artificiale [\"FOVEA\" evolution in an artificial organism]","year":1996}