Dynamical Entropies in Assemblies of Neurons View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2004-2006

FUNDING AMOUNT

136942 EUR

ABSTRACT

The final aim of the present project will be to gain some comprehension of how the brain stores and processes information. By considering the brain as a high dimensional non-linear system, we plan to apply information-theoretic and dynamical tools to characterize the response of single neurons as well as of neuronal assemblies to different classes of external (deterministic and stochastic) excitations. Data measured in experiments and generated by simulating networks of various sizes will be examined and compared. The information content of the experimental and numerical time series will be estimated by computing dynamical entropies and mutual information for different variables and levels of resolution. More... »

URL

http://cordis.europa.eu/project/rcn/81721_en.html

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/2008/2211", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "EUR", 
      "type": "MonetaryAmount", 
      "value": "136942"
    }, 
    "description": "The final aim of the present project will be to gain some comprehension of how the brain stores and processes information. By considering the brain as a high dimensional non-linear system, we plan to apply information-theoretic and dynamical tools to characterize the response of single neurons as well as of neuronal assemblies to different classes of external (deterministic and stochastic) excitations. Data measured in experiments and generated by simulating networks of various sizes will be examined and compared. The information content of the experimental and numerical time series will be estimated by computing dynamical entropies and mutual information for different variables and levels of resolution.\n\n", 
    "endDate": "2006-10-31T00:00:00Z", 
    "funder": {
      "id": "https://www.grid.ac/institutes/grid.270680.b", 
      "type": "Organization"
    }, 
    "id": "sg:grant.3769501", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "3769501"
        ]
      }, 
      {
        "name": "cordis_id", 
        "type": "PropertyValue", 
        "value": [
          "81721"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "brain stores", 
      "final aim", 
      "different classes", 
      "data", 
      "neuronal assemblies", 
      "present project", 
      "response", 
      "various sizes", 
      "information-theoretic", 
      "numerical time series", 
      "excitation", 
      "dynamical tools", 
      "comprehension", 
      "network", 
      "single neurons", 
      "process information", 
      "neurons", 
      "assembly", 
      "levels", 
      "information content", 
      "different variables", 
      "resolution", 
      "dynamical entropy", 
      "high dimensional non-linear system", 
      "experiments", 
      "mutual information", 
      "brain"
    ], 
    "name": "Dynamical Entropies in Assemblies of Neurons", 
    "recipient": [
      {
        "id": "https://www.grid.ac/institutes/grid.425378.f", 
        "type": "Organization"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.3769501"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2019-03-07T11:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/cordis_projects_2.xml.gz", 
    "startDate": "2004-11-01T00:00:00Z", 
    "type": "MonetaryGrant", 
    "url": "http://cordis.europa.eu/project/rcn/81721_en.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/grant.3769501'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.3769501'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.3769501'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.3769501'


 

This table displays all metadata directly associated to this object as RDF triples.

61 TRIPLES      19 PREDICATES      47 URIs      40 LITERALS      4 BLANK NODES

Subject Predicate Object
1 sg:grant.3769501 schema:about anzsrc-for:2211
2 schema:amount Nc143eb475cdd4060a723a4e9591eeded
3 schema:description The final aim of the present project will be to gain some comprehension of how the brain stores and processes information. By considering the brain as a high dimensional non-linear system, we plan to apply information-theoretic and dynamical tools to characterize the response of single neurons as well as of neuronal assemblies to different classes of external (deterministic and stochastic) excitations. Data measured in experiments and generated by simulating networks of various sizes will be examined and compared. The information content of the experimental and numerical time series will be estimated by computing dynamical entropies and mutual information for different variables and levels of resolution.
4 schema:endDate 2006-10-31T00:00:00Z
5 schema:funder https://www.grid.ac/institutes/grid.270680.b
6 schema:identifier Na597b7a44ff7490f8c49e1d7b5a91679
7 Nc17c205b47314f74af4f81a01640f2ee
8 schema:inLanguage en
9 schema:keywords assembly
10 brain
11 brain stores
12 comprehension
13 data
14 different classes
15 different variables
16 dynamical entropy
17 dynamical tools
18 excitation
19 experiments
20 final aim
21 high dimensional non-linear system
22 information content
23 information-theoretic
24 levels
25 mutual information
26 network
27 neuronal assemblies
28 neurons
29 numerical time series
30 present project
31 process information
32 resolution
33 response
34 single neurons
35 various sizes
36 schema:name Dynamical Entropies in Assemblies of Neurons
37 schema:recipient https://www.grid.ac/institutes/grid.425378.f
38 schema:sameAs https://app.dimensions.ai/details/grant/grant.3769501
39 schema:sdDatePublished 2019-03-07T11:21
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N6c51f37357f245c4a6bf872b45f5ee97
42 schema:startDate 2004-11-01T00:00:00Z
43 schema:url http://cordis.europa.eu/project/rcn/81721_en.html
44 sgo:license sg:explorer/license/
45 sgo:sdDataset grants
46 rdf:type schema:MonetaryGrant
47 N6c51f37357f245c4a6bf872b45f5ee97 schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 Na597b7a44ff7490f8c49e1d7b5a91679 schema:name cordis_id
50 schema:value 81721
51 rdf:type schema:PropertyValue
52 Nc143eb475cdd4060a723a4e9591eeded schema:currency EUR
53 schema:value 136942
54 rdf:type schema:MonetaryAmount
55 Nc17c205b47314f74af4f81a01640f2ee schema:name dimensions_id
56 schema:value 3769501
57 rdf:type schema:PropertyValue
58 anzsrc-for:2211 schema:inDefinedTermSet anzsrc-for:
59 rdf:type schema:DefinedTerm
60 https://www.grid.ac/institutes/grid.270680.b schema:Organization
61 https://www.grid.ac/institutes/grid.425378.f schema:Organization
 




Preview window. Press ESC to close (or click here)


...