Activity-dependent scaling of quantal amplitude in neocortical neurons View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-02

AUTHORS

Gina G. Turrigiano, Kenneth R. Leslie, Niraj S. Desai, Lana C. Rutherford, Sacha B. Nelson

ABSTRACT

Information is stored in neural circuits through long-lasting changes in synaptic strengths1,2. Most studies of information storage have focused on mechanisms such as long-term potentiation and depression (LTP and LTD), in which synaptic strengths change in a synapse-specific manner3,4. In contrast, little attention has been paid to mechanisms that regulate the total synaptic strength of a neuron. Here we describe a new form of synaptic plasticity that increases or decreases the strength of all of a neuron's synaptic inputs as a function of activity. Chronic blockade of cortical culture activity increased the amplitude of miniature excitatory postsynaptic currents (mEPSCs) without changing their kinetics. Conversely, blocking GABA (γ-aminutyric acid)-mediated inhibition initially raised firing rates, but over a 48-hour period mESPC amplitudes decreased and firing rates returned to close to control values. These changes were at least partly due to postsynaptic alterations in the response to glutamate, and apparently affected each synapse in proportion to its initial strength. Such ‘synaptic scaling’ may help to ensure that firing rates do not become saturated during developmental changes in the number and strength of synaptic inputs5, as well as stabilizing synaptic strengths during Hebbian modification6,7 and facilitating competition between synapses7,8,9. More... »

PAGES

892-896

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/36103

DOI

http://dx.doi.org/10.1038/36103

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033478989

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/9495341


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/2008/11", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "2-Amino-5-phosphonovalerate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bicuculline", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cells, Cultured", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Excitatory Amino Acid Antagonists", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "GABA Antagonists", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glutamic Acid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Membrane Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neuronal Plasticity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pyramidal Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, N-Methyl-D-Aspartate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Synaptic Transmission", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tetrodotoxin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Visual Cortex", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.253264.4", 
          "name": [
            "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turrigiano", 
        "givenName": "Gina G.", 
        "id": "sg:person.01214150062.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214150062.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.253264.4", 
          "name": [
            "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leslie", 
        "givenName": "Kenneth R.", 
        "id": "sg:person.01313134201.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313134201.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.253264.4", 
          "name": [
            "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Desai", 
        "givenName": "Niraj S.", 
        "id": "sg:person.01160341344.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160341344.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.253264.4", 
          "name": [
            "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rutherford", 
        "givenName": "Lana C.", 
        "id": "sg:person.01260074551.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260074551.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.253264.4", 
          "name": [
            "the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nelson", 
        "givenName": "Sacha B.", 
        "id": "sg:person.01114173452.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114173452.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/357134a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053313844", 
          "https://doi.org/10.1038/357134a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00228885", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003277931", 
          "https://doi.org/10.1007/bf00228885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/375400a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034469751", 
          "https://doi.org/10.1038/375400a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/375404a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027596648", 
          "https://doi.org/10.1038/375404a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/355050a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046763887", 
          "https://doi.org/10.1038/355050a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/362640a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044676188", 
          "https://doi.org/10.1038/362640a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01181531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035508672", 
          "https://doi.org/10.1007/bf01181531"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1998-02", 
    "datePublishedReg": "1998-02-01", 
    "description": "Information is stored in neural circuits through long-lasting changes in synaptic strengths1,2. Most studies of information storage have focused on mechanisms such as long-term potentiation and depression (LTP and LTD), in which synaptic strengths change in a synapse-specific manner3,4. In contrast, little attention has been paid to mechanisms that regulate the total synaptic strength of a neuron. Here we describe a new form of synaptic plasticity that increases or decreases the strength of all of a neuron's synaptic inputs as a function of activity. Chronic blockade of cortical culture activity increased the amplitude of miniature excitatory postsynaptic currents (mEPSCs) without changing their kinetics. Conversely, blocking GABA (\u03b3-aminutyric acid)-mediated inhibition initially raised firing rates, but over a 48-hour period mESPC amplitudes decreased and firing rates returned to close to control values. These changes were at least partly due to postsynaptic alterations in the response to glutamate, and apparently affected each synapse in proportion to its initial strength. Such \u2018synaptic scaling\u2019 may help to ensure that firing rates do not become saturated during developmental changes in the number and strength of synaptic inputs5, as well as stabilizing synaptic strengths during Hebbian modification6,7 and facilitating competition between synapses7,8,9.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/36103", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0028-0836", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6670", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "391"
      }
    ], 
    "keywords": [
      "miniature excitatory postsynaptic currents", 
      "synaptic strength", 
      "firing rate", 
      "synaptic inputs", 
      "excitatory postsynaptic currents", 
      "neuron synaptic inputs", 
      "long-term potentiation", 
      "activity-dependent scaling", 
      "total synaptic strength", 
      "chronic blockade", 
      "postsynaptic currents", 
      "postsynaptic alterations", 
      "neocortical neurons", 
      "quantal amplitude", 
      "synaptic plasticity", 
      "synaptic scaling", 
      "neural circuits", 
      "neurons", 
      "developmental changes", 
      "most studies", 
      "blockade", 
      "GABA", 
      "potentiation", 
      "depression", 
      "function of activity", 
      "synapse", 
      "rate", 
      "activity", 
      "inhibition", 
      "alterations", 
      "changes", 
      "proportion", 
      "mechanism", 
      "response", 
      "plasticity", 
      "study", 
      "contrast", 
      "amplitude", 
      "little attention", 
      "initial strength", 
      "function", 
      "number", 
      "Hebbian", 
      "culture activity", 
      "information", 
      "values", 
      "form", 
      "strength", 
      "attention", 
      "kinetics", 
      "circuit", 
      "input", 
      "current", 
      "new forms", 
      "storage", 
      "information storage", 
      "scaling", 
      "competition"
    ], 
    "name": "Activity-dependent scaling of quantal amplitude in neocortical neurons", 
    "pagination": "892-896", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033478989"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/36103"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "9495341"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/36103", 
      "https://app.dimensions.ai/details/publication/pub.1033478989"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:47", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_275.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/36103"
  }
]
 

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.10.1038/36103'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/36103'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/36103'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/36103'


 

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

239 TRIPLES      21 PREDICATES      107 URIs      92 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/36103 schema:about N10ca5adcbd3048518522306b8fc939b7
2 N1c5fa2ede61a45cb944f8c69f42a32ee
3 N1ca78235cd0e4222971fdeed9b010428
4 N25a21f2b4c064bfea8bbbe743f1cefd8
5 N263d003ec2514ad68f68f726e0a12318
6 N420509f4eac54f75a5a0da18d516bff7
7 N4351b6fed8f941c08fec18d7ecf60481
8 N5e5ad01e0d13405ca1e3673ba963e8a8
9 N6367f4f2e94a4d4a957d0c4cdaf08235
10 N9a72acfae08e4ea6907fa553ba215eb8
11 Nac14a20b0949448a98914ea458092eed
12 Ncb2b5b658294423bb6e7782badd24493
13 Nd54fa98b71664e2bb694fc19e41a9cc1
14 Ne13d24155b1f4000b36f350583e9b51c
15 Nf26da2a38286471b93f28e5c7bcbec5e
16 Nf53e0e2ee6fa42e8871ffabddf77c101
17 anzsrc-for:11
18 anzsrc-for:1109
19 schema:author N08adc33b6955402ebcbbf1626c86f050
20 schema:citation sg:pub.10.1007/bf00228885
21 sg:pub.10.1007/bf01181531
22 sg:pub.10.1038/355050a0
23 sg:pub.10.1038/357134a0
24 sg:pub.10.1038/362640a0
25 sg:pub.10.1038/375400a0
26 sg:pub.10.1038/375404a0
27 schema:datePublished 1998-02
28 schema:datePublishedReg 1998-02-01
29 schema:description Information is stored in neural circuits through long-lasting changes in synaptic strengths1,2. Most studies of information storage have focused on mechanisms such as long-term potentiation and depression (LTP and LTD), in which synaptic strengths change in a synapse-specific manner3,4. In contrast, little attention has been paid to mechanisms that regulate the total synaptic strength of a neuron. Here we describe a new form of synaptic plasticity that increases or decreases the strength of all of a neuron's synaptic inputs as a function of activity. Chronic blockade of cortical culture activity increased the amplitude of miniature excitatory postsynaptic currents (mEPSCs) without changing their kinetics. Conversely, blocking GABA (γ-aminutyric acid)-mediated inhibition initially raised firing rates, but over a 48-hour period mESPC amplitudes decreased and firing rates returned to close to control values. These changes were at least partly due to postsynaptic alterations in the response to glutamate, and apparently affected each synapse in proportion to its initial strength. Such ‘synaptic scaling’ may help to ensure that firing rates do not become saturated during developmental changes in the number and strength of synaptic inputs5, as well as stabilizing synaptic strengths during Hebbian modification6,7 and facilitating competition between synapses7,8,9.
30 schema:genre article
31 schema:isAccessibleForFree false
32 schema:isPartOf N46b7b427b3cf452ebd65da233f8193de
33 Na9206aefdfe04caaabf3cb77bef00448
34 sg:journal.1018957
35 schema:keywords GABA
36 Hebbian
37 activity
38 activity-dependent scaling
39 alterations
40 amplitude
41 attention
42 blockade
43 changes
44 chronic blockade
45 circuit
46 competition
47 contrast
48 culture activity
49 current
50 depression
51 developmental changes
52 excitatory postsynaptic currents
53 firing rate
54 form
55 function
56 function of activity
57 information
58 information storage
59 inhibition
60 initial strength
61 input
62 kinetics
63 little attention
64 long-term potentiation
65 mechanism
66 miniature excitatory postsynaptic currents
67 most studies
68 neocortical neurons
69 neural circuits
70 neuron synaptic inputs
71 neurons
72 new forms
73 number
74 plasticity
75 postsynaptic alterations
76 postsynaptic currents
77 potentiation
78 proportion
79 quantal amplitude
80 rate
81 response
82 scaling
83 storage
84 strength
85 study
86 synapse
87 synaptic inputs
88 synaptic plasticity
89 synaptic scaling
90 synaptic strength
91 total synaptic strength
92 values
93 schema:name Activity-dependent scaling of quantal amplitude in neocortical neurons
94 schema:pagination 892-896
95 schema:productId N30bd9cd4d8ad4bceb2c7cb45c55a176c
96 N401bd6343075463cae1986420dbe8fd2
97 N72776ef34e194a2d9d77931a50f7ec8c
98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033478989
99 https://doi.org/10.1038/36103
100 schema:sdDatePublished 2022-09-02T15:47
101 schema:sdLicense https://scigraph.springernature.com/explorer/license/
102 schema:sdPublisher N858f906aee92440c8623986331e7bdc8
103 schema:url https://doi.org/10.1038/36103
104 sgo:license sg:explorer/license/
105 sgo:sdDataset articles
106 rdf:type schema:ScholarlyArticle
107 N02c8c0249507459db8dfb1088419b732 rdf:first sg:person.01114173452.11
108 rdf:rest rdf:nil
109 N08adc33b6955402ebcbbf1626c86f050 rdf:first sg:person.01214150062.16
110 rdf:rest Nd3166deef2424835975799f2896c12fc
111 N10ca5adcbd3048518522306b8fc939b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Rats
113 rdf:type schema:DefinedTerm
114 N1c5fa2ede61a45cb944f8c69f42a32ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid
116 rdf:type schema:DefinedTerm
117 N1ca78235cd0e4222971fdeed9b010428 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Pyramidal Cells
119 rdf:type schema:DefinedTerm
120 N25a21f2b4c064bfea8bbbe743f1cefd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Visual Cortex
122 rdf:type schema:DefinedTerm
123 N263d003ec2514ad68f68f726e0a12318 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Receptors, N-Methyl-D-Aspartate
125 rdf:type schema:DefinedTerm
126 N30bd9cd4d8ad4bceb2c7cb45c55a176c schema:name doi
127 schema:value 10.1038/36103
128 rdf:type schema:PropertyValue
129 N401bd6343075463cae1986420dbe8fd2 schema:name dimensions_id
130 schema:value pub.1033478989
131 rdf:type schema:PropertyValue
132 N41075be4a32146f89725f152339b2a61 rdf:first sg:person.01160341344.28
133 rdf:rest Nfc4d0b73646b43198dd82b10ae04cbfc
134 N420509f4eac54f75a5a0da18d516bff7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Excitatory Amino Acid Antagonists
136 rdf:type schema:DefinedTerm
137 N4351b6fed8f941c08fec18d7ecf60481 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name GABA Antagonists
139 rdf:type schema:DefinedTerm
140 N46b7b427b3cf452ebd65da233f8193de schema:volumeNumber 391
141 rdf:type schema:PublicationVolume
142 N5e5ad01e0d13405ca1e3673ba963e8a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Synaptic Transmission
144 rdf:type schema:DefinedTerm
145 N6367f4f2e94a4d4a957d0c4cdaf08235 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Membrane Potentials
147 rdf:type schema:DefinedTerm
148 N72776ef34e194a2d9d77931a50f7ec8c schema:name pubmed_id
149 schema:value 9495341
150 rdf:type schema:PropertyValue
151 N858f906aee92440c8623986331e7bdc8 schema:name Springer Nature - SN SciGraph project
152 rdf:type schema:Organization
153 N9a72acfae08e4ea6907fa553ba215eb8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Glutamic Acid
155 rdf:type schema:DefinedTerm
156 Na9206aefdfe04caaabf3cb77bef00448 schema:issueNumber 6670
157 rdf:type schema:PublicationIssue
158 Nac14a20b0949448a98914ea458092eed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Animals
160 rdf:type schema:DefinedTerm
161 Ncb2b5b658294423bb6e7782badd24493 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name 2-Amino-5-phosphonovalerate
163 rdf:type schema:DefinedTerm
164 Nd3166deef2424835975799f2896c12fc rdf:first sg:person.01313134201.10
165 rdf:rest N41075be4a32146f89725f152339b2a61
166 Nd54fa98b71664e2bb694fc19e41a9cc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Bicuculline
168 rdf:type schema:DefinedTerm
169 Ne13d24155b1f4000b36f350583e9b51c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Neuronal Plasticity
171 rdf:type schema:DefinedTerm
172 Nf26da2a38286471b93f28e5c7bcbec5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Tetrodotoxin
174 rdf:type schema:DefinedTerm
175 Nf53e0e2ee6fa42e8871ffabddf77c101 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Cells, Cultured
177 rdf:type schema:DefinedTerm
178 Nfc4d0b73646b43198dd82b10ae04cbfc rdf:first sg:person.01260074551.39
179 rdf:rest N02c8c0249507459db8dfb1088419b732
180 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
181 schema:name Medical and Health Sciences
182 rdf:type schema:DefinedTerm
183 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
184 schema:name Neurosciences
185 rdf:type schema:DefinedTerm
186 sg:journal.1018957 schema:issn 0028-0836
187 1476-4687
188 schema:name Nature
189 schema:publisher Springer Nature
190 rdf:type schema:Periodical
191 sg:person.01114173452.11 schema:affiliation grid-institutes:grid.253264.4
192 schema:familyName Nelson
193 schema:givenName Sacha B.
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114173452.11
195 rdf:type schema:Person
196 sg:person.01160341344.28 schema:affiliation grid-institutes:grid.253264.4
197 schema:familyName Desai
198 schema:givenName Niraj S.
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160341344.28
200 rdf:type schema:Person
201 sg:person.01214150062.16 schema:affiliation grid-institutes:grid.253264.4
202 schema:familyName Turrigiano
203 schema:givenName Gina G.
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214150062.16
205 rdf:type schema:Person
206 sg:person.01260074551.39 schema:affiliation grid-institutes:grid.253264.4
207 schema:familyName Rutherford
208 schema:givenName Lana C.
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260074551.39
210 rdf:type schema:Person
211 sg:person.01313134201.10 schema:affiliation grid-institutes:grid.253264.4
212 schema:familyName Leslie
213 schema:givenName Kenneth R.
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313134201.10
215 rdf:type schema:Person
216 sg:pub.10.1007/bf00228885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003277931
217 https://doi.org/10.1007/bf00228885
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/bf01181531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035508672
220 https://doi.org/10.1007/bf01181531
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/355050a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046763887
223 https://doi.org/10.1038/355050a0
224 rdf:type schema:CreativeWork
225 sg:pub.10.1038/357134a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053313844
226 https://doi.org/10.1038/357134a0
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/362640a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044676188
229 https://doi.org/10.1038/362640a0
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/375400a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034469751
232 https://doi.org/10.1038/375400a0
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/375404a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027596648
235 https://doi.org/10.1038/375404a0
236 rdf:type schema:CreativeWork
237 grid-institutes:grid.253264.4 schema:alternateName the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA
238 schema:name the Department of Biology and Center for Complex Systems, Brandeis University, 02254, Waltham, Massachusetts, USA
239 rdf:type schema:Organization
 




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


...