1986
AUTHORS ABSTRACTThe cerebral cortex, one half of the cerebral grey substance in mice and men, is what any detailed theory of the workings of the nervous system ought to explain, or at least, ought to make use of. In fact, theoretical papers ranging from 1943 to 1985 and from rather realistic views to frankly speculative constructs have made explicit reference to the cortex and perhaps even have influenced the ideas of some experimenters. Cortical anatomists and physiologists, in turn, learned to shape their findings so as to make them acceptable to the theoreticians. The resulting situation of reciprocal positive feedback had some stable solutions: The random network with or without learning. Lashley’s philosophy is of this category, as is Hebb’s theory of cell assemblies. Rosenblatt’s perceptron is also a descendant.The circuit diagram in the spirit of radio engineering. The amplifier entered neurophysiology from communication engineering and with it came various ideas, the most enticing being that of functional secrets embodied in loops of wires connecting tubes, condensers and the like. The neuroanatomists responded quickly with loops of fibres connecting various sorts of neurons in the cortex (Lorente de No and others).The digital computer and a logical theory of nerve nets. This was soon recognized as a misleading analogy, but the digital computer has at any rate among all models of cortical function the unique distinction of being a very useful machine. And the theory formulated by McCulloch and Pitts (1956), made more palatable by Kleene (1956), lent the brain a flair of almightiness which was gratefully recognized by many. More... »
PAGES81-96
Brain Theory
ISBN
978-3-642-70913-5
978-3-642-70911-1
http://scigraph.springernature.com/pub.10.1007/978-3-642-70911-1_6
DOIhttp://dx.doi.org/10.1007/978-3-642-70911-1_6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013279655
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Neurosciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, Spemannstra\u00dfe 38, 7400, T\u00fcbingen, Germany",
"id": "http://www.grid.ac/institutes/grid.419501.8",
"name": [
"Max-Planck-Institut f\u00fcr Biologische Kybernetik, Spemannstra\u00dfe 38, 7400, T\u00fcbingen, Germany"
],
"type": "Organization"
},
"familyName": "Braitenberg",
"givenName": "V.",
"id": "sg:person.012515726701.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515726701.58"
],
"type": "Person"
}
],
"datePublished": "1986",
"datePublishedReg": "1986-01-01",
"description": "The cerebral cortex, one half of the cerebral grey substance in mice and men, is what any detailed theory of the workings of the nervous system ought to explain, or at least, ought to make use of. In fact, theoretical papers ranging from 1943 to 1985 and from rather realistic views to frankly speculative constructs have made explicit reference to the cortex and perhaps even have influenced the ideas of some experimenters. Cortical anatomists and physiologists, in turn, learned to shape their findings so as to make them acceptable to the theoreticians. The resulting situation of reciprocal positive feedback had some stable solutions:\nThe random network with or without learning. Lashley\u2019s philosophy is of this category, as is Hebb\u2019s theory of cell assemblies. Rosenblatt\u2019s perceptron is also a descendant.The circuit diagram in the spirit of radio engineering. The amplifier entered neurophysiology from communication engineering and with it came various ideas, the most enticing being that of functional secrets embodied in loops of wires connecting tubes, condensers and the like. The neuroanatomists responded quickly with loops of fibres connecting various sorts of neurons in the cortex (Lorente de No and others).The digital computer and a logical theory of nerve nets. This was soon recognized as a misleading analogy, but the digital computer has at any rate among all models of cortical function the unique distinction of being a very useful machine. And the theory formulated by McCulloch and Pitts (1956), made more palatable by Kleene (1956), lent the brain a flair of almightiness which was gratefully recognized by many.",
"editor": [
{
"familyName": "Palm",
"givenName": "G\u00fcnther",
"type": "Person"
},
{
"familyName": "Aertsen",
"givenName": "Ad",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-642-70911-1_6",
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-642-70913-5",
"978-3-642-70911-1"
],
"name": "Brain Theory",
"type": "Book"
},
"keywords": [
"speculative constructs",
"logical theory",
"misleading analogy",
"explicit reference",
"realistic view",
"philosophy",
"Rosenblatt perceptron",
"theoretical paper",
"idea",
"theory",
"view",
"detailed theory",
"almightiness",
"spirit",
"unique distinction",
"theoreticians",
"sort",
"distinction",
"McCulloch",
"secrets",
"descendants",
"analogy",
"useful machine",
"anatomists",
"fact",
"Pitt",
"working",
"turn",
"reference",
"Kleene",
"physiologists",
"categories",
"neurophysiology",
"situation",
"men",
"FLAIR",
"constructs",
"digital computer",
"paper",
"half",
"substances",
"engineering",
"experimenter",
"communication engineering",
"neuroanatomists",
"use",
"brain",
"computer",
"system",
"findings",
"cerebral cortex",
"nets",
"solution",
"model",
"gray substance",
"nervous system",
"cortical function",
"machine",
"reciprocal positive feedback",
"cortex",
"random networks",
"stable solutions",
"nerve net",
"function",
"radio engineering",
"mice",
"loop of wire",
"neurons",
"assembly",
"network",
"Hebb's theory",
"circuit diagram",
"positive feedback",
"perceptron",
"loop",
"feedback",
"cell assemblies",
"diagram",
"rate",
"wire",
"tube",
"fibers",
"amplifier",
"condenser"
],
"name": "Two Views of the Cerebral Cortex",
"pagination": "81-96",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013279655"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-642-70911-1_6"
]
}
],
"publisher": {
"name": "Springer Nature",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-642-70911-1_6",
"https://app.dimensions.ai/details/publication/pub.1013279655"
],
"sdDataset": "chapters",
"sdDatePublished": "2022-08-04T17:17",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/chapter/chapter_224.jsonl",
"type": "Chapter",
"url": "https://doi.org/10.1007/978-3-642-70911-1_6"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-70911-1_6'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-70911-1_6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-70911-1_6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-70911-1_6'
This table displays all metadata directly associated to this object as RDF triples.
148 TRIPLES
22 PREDICATES
109 URIs
102 LITERALS
7 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/978-3-642-70911-1_6 | schema:about | anzsrc-for:11 |
2 | ″ | ″ | anzsrc-for:1109 |
3 | ″ | schema:author | N0969ea7ddcd54f0895e2ab66d9b1de7b |
4 | ″ | schema:datePublished | 1986 |
5 | ″ | schema:datePublishedReg | 1986-01-01 |
6 | ″ | schema:description | The cerebral cortex, one half of the cerebral grey substance in mice and men, is what any detailed theory of the workings of the nervous system ought to explain, or at least, ought to make use of. In fact, theoretical papers ranging from 1943 to 1985 and from rather realistic views to frankly speculative constructs have made explicit reference to the cortex and perhaps even have influenced the ideas of some experimenters. Cortical anatomists and physiologists, in turn, learned to shape their findings so as to make them acceptable to the theoreticians. The resulting situation of reciprocal positive feedback had some stable solutions: The random network with or without learning. Lashley’s philosophy is of this category, as is Hebb’s theory of cell assemblies. Rosenblatt’s perceptron is also a descendant.The circuit diagram in the spirit of radio engineering. The amplifier entered neurophysiology from communication engineering and with it came various ideas, the most enticing being that of functional secrets embodied in loops of wires connecting tubes, condensers and the like. The neuroanatomists responded quickly with loops of fibres connecting various sorts of neurons in the cortex (Lorente de No and others).The digital computer and a logical theory of nerve nets. This was soon recognized as a misleading analogy, but the digital computer has at any rate among all models of cortical function the unique distinction of being a very useful machine. And the theory formulated by McCulloch and Pitts (1956), made more palatable by Kleene (1956), lent the brain a flair of almightiness which was gratefully recognized by many. |
7 | ″ | schema:editor | N02a20f6d6fd74db9a125946e5d52b043 |
8 | ″ | schema:genre | chapter |
9 | ″ | schema:isAccessibleForFree | false |
10 | ″ | schema:isPartOf | Nc03c69ecbdfc4799aed9437e7659ff93 |
11 | ″ | schema:keywords | FLAIR |
12 | ″ | ″ | Hebb's theory |
13 | ″ | ″ | Kleene |
14 | ″ | ″ | McCulloch |
15 | ″ | ″ | Pitt |
16 | ″ | ″ | Rosenblatt perceptron |
17 | ″ | ″ | almightiness |
18 | ″ | ″ | amplifier |
19 | ″ | ″ | analogy |
20 | ″ | ″ | anatomists |
21 | ″ | ″ | assembly |
22 | ″ | ″ | brain |
23 | ″ | ″ | categories |
24 | ″ | ″ | cell assemblies |
25 | ″ | ″ | cerebral cortex |
26 | ″ | ″ | circuit diagram |
27 | ″ | ″ | communication engineering |
28 | ″ | ″ | computer |
29 | ″ | ″ | condenser |
30 | ″ | ″ | constructs |
31 | ″ | ″ | cortex |
32 | ″ | ″ | cortical function |
33 | ″ | ″ | descendants |
34 | ″ | ″ | detailed theory |
35 | ″ | ″ | diagram |
36 | ″ | ″ | digital computer |
37 | ″ | ″ | distinction |
38 | ″ | ″ | engineering |
39 | ″ | ″ | experimenter |
40 | ″ | ″ | explicit reference |
41 | ″ | ″ | fact |
42 | ″ | ″ | feedback |
43 | ″ | ″ | fibers |
44 | ″ | ″ | findings |
45 | ″ | ″ | function |
46 | ″ | ″ | gray substance |
47 | ″ | ″ | half |
48 | ″ | ″ | idea |
49 | ″ | ″ | logical theory |
50 | ″ | ″ | loop |
51 | ″ | ″ | loop of wire |
52 | ″ | ″ | machine |
53 | ″ | ″ | men |
54 | ″ | ″ | mice |
55 | ″ | ″ | misleading analogy |
56 | ″ | ″ | model |
57 | ″ | ″ | nerve net |
58 | ″ | ″ | nervous system |
59 | ″ | ″ | nets |
60 | ″ | ″ | network |
61 | ″ | ″ | neuroanatomists |
62 | ″ | ″ | neurons |
63 | ″ | ″ | neurophysiology |
64 | ″ | ″ | paper |
65 | ″ | ″ | perceptron |
66 | ″ | ″ | philosophy |
67 | ″ | ″ | physiologists |
68 | ″ | ″ | positive feedback |
69 | ″ | ″ | radio engineering |
70 | ″ | ″ | random networks |
71 | ″ | ″ | rate |
72 | ″ | ″ | realistic view |
73 | ″ | ″ | reciprocal positive feedback |
74 | ″ | ″ | reference |
75 | ″ | ″ | secrets |
76 | ″ | ″ | situation |
77 | ″ | ″ | solution |
78 | ″ | ″ | sort |
79 | ″ | ″ | speculative constructs |
80 | ″ | ″ | spirit |
81 | ″ | ″ | stable solutions |
82 | ″ | ″ | substances |
83 | ″ | ″ | system |
84 | ″ | ″ | theoretical paper |
85 | ″ | ″ | theoreticians |
86 | ″ | ″ | theory |
87 | ″ | ″ | tube |
88 | ″ | ″ | turn |
89 | ″ | ″ | unique distinction |
90 | ″ | ″ | use |
91 | ″ | ″ | useful machine |
92 | ″ | ″ | view |
93 | ″ | ″ | wire |
94 | ″ | ″ | working |
95 | ″ | schema:name | Two Views of the Cerebral Cortex |
96 | ″ | schema:pagination | 81-96 |
97 | ″ | schema:productId | N74af0e081aaa45308cf5b81c6e3b14ed |
98 | ″ | ″ | Necf28fdd19fd4a4093ba549e125a5028 |
99 | ″ | schema:publisher | N907f3203b1934a9998357f0deea00d7c |
100 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1013279655 |
101 | ″ | ″ | https://doi.org/10.1007/978-3-642-70911-1_6 |
102 | ″ | schema:sdDatePublished | 2022-08-04T17:17 |
103 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
104 | ″ | schema:sdPublisher | Neba07c7c88c141da8c81a1c4e723b81e |
105 | ″ | schema:url | https://doi.org/10.1007/978-3-642-70911-1_6 |
106 | ″ | sgo:license | sg:explorer/license/ |
107 | ″ | sgo:sdDataset | chapters |
108 | ″ | rdf:type | schema:Chapter |
109 | N02a20f6d6fd74db9a125946e5d52b043 | rdf:first | N8924c688ce074015be959a26968f53a1 |
110 | ″ | rdf:rest | Nb84a7fd60ebe41579513b2e164dec5bd |
111 | N0969ea7ddcd54f0895e2ab66d9b1de7b | rdf:first | sg:person.012515726701.58 |
112 | ″ | rdf:rest | rdf:nil |
113 | N74af0e081aaa45308cf5b81c6e3b14ed | schema:name | dimensions_id |
114 | ″ | schema:value | pub.1013279655 |
115 | ″ | rdf:type | schema:PropertyValue |
116 | N8924c688ce074015be959a26968f53a1 | schema:familyName | Palm |
117 | ″ | schema:givenName | Günther |
118 | ″ | rdf:type | schema:Person |
119 | N907f3203b1934a9998357f0deea00d7c | schema:name | Springer Nature |
120 | ″ | rdf:type | schema:Organisation |
121 | Nb84a7fd60ebe41579513b2e164dec5bd | rdf:first | Nbc233b7e87cf46cebb762e25bbb6f77e |
122 | ″ | rdf:rest | rdf:nil |
123 | Nbc233b7e87cf46cebb762e25bbb6f77e | schema:familyName | Aertsen |
124 | ″ | schema:givenName | Ad |
125 | ″ | rdf:type | schema:Person |
126 | Nc03c69ecbdfc4799aed9437e7659ff93 | schema:isbn | 978-3-642-70911-1 |
127 | ″ | ″ | 978-3-642-70913-5 |
128 | ″ | schema:name | Brain Theory |
129 | ″ | rdf:type | schema:Book |
130 | Neba07c7c88c141da8c81a1c4e723b81e | schema:name | Springer Nature - SN SciGraph project |
131 | ″ | rdf:type | schema:Organization |
132 | Necf28fdd19fd4a4093ba549e125a5028 | schema:name | doi |
133 | ″ | schema:value | 10.1007/978-3-642-70911-1_6 |
134 | ″ | rdf:type | schema:PropertyValue |
135 | anzsrc-for:11 | schema:inDefinedTermSet | anzsrc-for: |
136 | ″ | schema:name | Medical and Health Sciences |
137 | ″ | rdf:type | schema:DefinedTerm |
138 | anzsrc-for:1109 | schema:inDefinedTermSet | anzsrc-for: |
139 | ″ | schema:name | Neurosciences |
140 | ″ | rdf:type | schema:DefinedTerm |
141 | sg:person.012515726701.58 | schema:affiliation | grid-institutes:grid.419501.8 |
142 | ″ | schema:familyName | Braitenberg |
143 | ″ | schema:givenName | V. |
144 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515726701.58 |
145 | ″ | rdf:type | schema:Person |
146 | grid-institutes:grid.419501.8 | schema:alternateName | Max-Planck-Institut für Biologische Kybernetik, Spemannstraße 38, 7400, Tübingen, Germany |
147 | ″ | schema:name | Max-Planck-Institut für Biologische Kybernetik, Spemannstraße 38, 7400, Tübingen, Germany |
148 | ″ | rdf:type | schema:Organization |