Leech Heartbeat Neural Network on FPGA View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Matthieu Ambroise , Timothée Levi , Sylvain Saïghi

ABSTRACT

Most of rhythmic movements are programmed by central pattern-generating networks that comprise neural oscillators. In this article, we implement a real-time biorealistic central pattern generator (CPG) into digital hardware (FPGA) for future hybrid experiments with biological neurons. This CPG mimics the Leech heartbeat neural network system. This system is composed of a neuron core from Izhikevich model, a biorealistic synaptic core and a topology to configure the table of connectivity of the different neurons. Our implementation needs few resources and few memories. Thanks to that, we could implement network of these CPG for instance to mimic the behavior of a salamander. Our system is validated by comparing our results to biological data. More... »

PAGES

347-349

References to SciGraph publications

Book

TITLE

Biomimetic and Biohybrid Systems

ISBN

978-3-642-39801-8
978-3-642-39802-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-39802-5_30

DOI

http://dx.doi.org/10.1007/978-3-642-39802-5_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052312375


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Bordeaux", 
          "id": "https://www.grid.ac/institutes/grid.412041.2", 
          "name": [
            "IMS Laboratory, University of Bordeaux, Talence, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ambroise", 
        "givenName": "Matthieu", 
        "id": "sg:person.01275741300.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275741300.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bordeaux", 
          "id": "https://www.grid.ac/institutes/grid.412041.2", 
          "name": [
            "IMS Laboratory, University of Bordeaux, Talence, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Levi", 
        "givenName": "Timoth\u00e9e", 
        "id": "sg:person.01344054500.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344054500.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bordeaux", 
          "id": "https://www.grid.ac/institutes/grid.412041.2", 
          "name": [
            "IMS Laboratory, University of Bordeaux, Talence, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sa\u00efghi", 
        "givenName": "Sylvain", 
        "id": "sg:person.0705115506.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705115506.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1011216131638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009864201", 
          "https://doi.org/10.1023/a:1011216131638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-02478-8_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019307887", 
          "https://doi.org/10.1007/978-3-642-02478-8_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-02478-8_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019307887", 
          "https://doi.org/10.1007/978-3-642-02478-8_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2003.820440", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/biocas.2008.4696931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095024453"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013", 
    "datePublishedReg": "2013-01-01", 
    "description": "Most of rhythmic movements are programmed by central pattern-generating networks that comprise neural oscillators. In this article, we implement a real-time biorealistic central pattern generator (CPG) into digital hardware (FPGA) for future hybrid experiments with biological neurons. This CPG mimics the Leech heartbeat neural network system. This system is composed of a neuron core from Izhikevich model, a biorealistic synaptic core and a topology to configure the table of connectivity of the different neurons. Our implementation needs few resources and few memories. Thanks to that, we could implement network of these CPG for instance to mimic the behavior of a salamander. Our system is validated by comparing our results to biological data.", 
    "editor": [
      {
        "familyName": "Lepora", 
        "givenName": "Nathan F.", 
        "type": "Person"
      }, 
      {
        "familyName": "Mura", 
        "givenName": "Anna", 
        "type": "Person"
      }, 
      {
        "familyName": "Krapp", 
        "givenName": "Holger G.", 
        "type": "Person"
      }, 
      {
        "familyName": "Verschure", 
        "givenName": "Paul F. M. J.", 
        "type": "Person"
      }, 
      {
        "familyName": "Prescott", 
        "givenName": "Tony J.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-39802-5_30", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-39801-8", 
        "978-3-642-39802-5"
      ], 
      "name": "Biomimetic and Biohybrid Systems", 
      "type": "Book"
    }, 
    "name": "Leech Heartbeat Neural Network on FPGA", 
    "pagination": "347-349", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-39802-5_30"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f92e85f62d945ee0f392485b5b4a9c06d45ecdb75856767b8dde89c5208a038e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052312375"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-39802-5_30", 
      "https://app.dimensions.ai/details/publication/pub.1052312375"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T21:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000275.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-39802-5_30"
  }
]
 

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/pub.10.1007/978-3-642-39802-5_30'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39802-5_30'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39802-5_30'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39802-5_30'


 

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

113 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-39802-5_30 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author Na27c490998184dc4a326692869e5d7f1
4 schema:citation sg:pub.10.1007/978-3-642-02478-8_13
5 sg:pub.10.1023/a:1011216131638
6 https://doi.org/10.1109/biocas.2008.4696931
7 https://doi.org/10.1109/tnn.2003.820440
8 schema:datePublished 2013
9 schema:datePublishedReg 2013-01-01
10 schema:description Most of rhythmic movements are programmed by central pattern-generating networks that comprise neural oscillators. In this article, we implement a real-time biorealistic central pattern generator (CPG) into digital hardware (FPGA) for future hybrid experiments with biological neurons. This CPG mimics the Leech heartbeat neural network system. This system is composed of a neuron core from Izhikevich model, a biorealistic synaptic core and a topology to configure the table of connectivity of the different neurons. Our implementation needs few resources and few memories. Thanks to that, we could implement network of these CPG for instance to mimic the behavior of a salamander. Our system is validated by comparing our results to biological data.
11 schema:editor N8a145a44638843b5b531deb210a213e2
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N983e4d5d7e0543f192baefa44639d378
16 schema:name Leech Heartbeat Neural Network on FPGA
17 schema:pagination 347-349
18 schema:productId N5aa3e11620244579ae284094ce0df1b3
19 Ncc2b28bd480e42d6a7146aaf129e1f52
20 Nfefaae8679064668a7dd21e28119e7f5
21 schema:publisher Naab0ce2c80a449adbe6c3931b8035ba0
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052312375
23 https://doi.org/10.1007/978-3-642-39802-5_30
24 schema:sdDatePublished 2019-04-15T21:05
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Nef091abb51ad4663acaab976c10dc880
27 schema:url http://link.springer.com/10.1007/978-3-642-39802-5_30
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N1f46fee7c8f54a72ae5a6a7f7bb260df schema:familyName Lepora
32 schema:givenName Nathan F.
33 rdf:type schema:Person
34 N1ff3728356e549cd9a68ce4363b74c07 rdf:first sg:person.01344054500.28
35 rdf:rest N783274d3bccd428db9b2fff20ddbb1f9
36 N2889890c41d345ed8cab84a756903847 rdf:first N2d5f21664c0c41e08031de4eb20fe363
37 rdf:rest N56723870d04944bcb171bbb84c70b6ce
38 N2d5f21664c0c41e08031de4eb20fe363 schema:familyName Mura
39 schema:givenName Anna
40 rdf:type schema:Person
41 N2f47d67761674e519ec0950c830cf961 rdf:first Nafff2ba2b72c42a7962407d2b12776d9
42 rdf:rest rdf:nil
43 N56723870d04944bcb171bbb84c70b6ce rdf:first Nb330c062414a42f4a4df55b8b8fab4bd
44 rdf:rest Ne74d55dd89b04be08e6fd65409b4bc35
45 N58ac5e0205254bd8984f0673f29c5134 schema:familyName Verschure
46 schema:givenName Paul F. M. J.
47 rdf:type schema:Person
48 N5aa3e11620244579ae284094ce0df1b3 schema:name dimensions_id
49 schema:value pub.1052312375
50 rdf:type schema:PropertyValue
51 N783274d3bccd428db9b2fff20ddbb1f9 rdf:first sg:person.0705115506.81
52 rdf:rest rdf:nil
53 N8a145a44638843b5b531deb210a213e2 rdf:first N1f46fee7c8f54a72ae5a6a7f7bb260df
54 rdf:rest N2889890c41d345ed8cab84a756903847
55 N983e4d5d7e0543f192baefa44639d378 schema:isbn 978-3-642-39801-8
56 978-3-642-39802-5
57 schema:name Biomimetic and Biohybrid Systems
58 rdf:type schema:Book
59 Na27c490998184dc4a326692869e5d7f1 rdf:first sg:person.01275741300.42
60 rdf:rest N1ff3728356e549cd9a68ce4363b74c07
61 Naab0ce2c80a449adbe6c3931b8035ba0 schema:location Berlin, Heidelberg
62 schema:name Springer Berlin Heidelberg
63 rdf:type schema:Organisation
64 Nafff2ba2b72c42a7962407d2b12776d9 schema:familyName Prescott
65 schema:givenName Tony J.
66 rdf:type schema:Person
67 Nb330c062414a42f4a4df55b8b8fab4bd schema:familyName Krapp
68 schema:givenName Holger G.
69 rdf:type schema:Person
70 Ncc2b28bd480e42d6a7146aaf129e1f52 schema:name readcube_id
71 schema:value f92e85f62d945ee0f392485b5b4a9c06d45ecdb75856767b8dde89c5208a038e
72 rdf:type schema:PropertyValue
73 Ne74d55dd89b04be08e6fd65409b4bc35 rdf:first N58ac5e0205254bd8984f0673f29c5134
74 rdf:rest N2f47d67761674e519ec0950c830cf961
75 Nef091abb51ad4663acaab976c10dc880 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 Nfefaae8679064668a7dd21e28119e7f5 schema:name doi
78 schema:value 10.1007/978-3-642-39802-5_30
79 rdf:type schema:PropertyValue
80 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
81 schema:name Medical and Health Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
84 schema:name Neurosciences
85 rdf:type schema:DefinedTerm
86 sg:person.01275741300.42 schema:affiliation https://www.grid.ac/institutes/grid.412041.2
87 schema:familyName Ambroise
88 schema:givenName Matthieu
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275741300.42
90 rdf:type schema:Person
91 sg:person.01344054500.28 schema:affiliation https://www.grid.ac/institutes/grid.412041.2
92 schema:familyName Levi
93 schema:givenName Timothée
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344054500.28
95 rdf:type schema:Person
96 sg:person.0705115506.81 schema:affiliation https://www.grid.ac/institutes/grid.412041.2
97 schema:familyName Saïghi
98 schema:givenName Sylvain
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705115506.81
100 rdf:type schema:Person
101 sg:pub.10.1007/978-3-642-02478-8_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019307887
102 https://doi.org/10.1007/978-3-642-02478-8_13
103 rdf:type schema:CreativeWork
104 sg:pub.10.1023/a:1011216131638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009864201
105 https://doi.org/10.1023/a:1011216131638
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1109/biocas.2008.4696931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095024453
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1109/tnn.2003.820440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716640
110 rdf:type schema:CreativeWork
111 https://www.grid.ac/institutes/grid.412041.2 schema:alternateName University of Bordeaux
112 schema:name IMS Laboratory, University of Bordeaux, Talence, France
113 rdf:type schema:Organization
 




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


...