ライフサイエンスコーパス: spike-timing-dependent plasticity

1 idirectional modification is consistent with spike timing-dependent plasticity.

2 cofiring between units within the window of spike timing-dependent plasticity.

3 synaptic inputs, precluding the induction of spike timing-dependent plasticity.

4 firing patterns associated with induction of spike timing-dependent plasticity.

5 i-Hebbian timing rules that reflect in vitro spike timing-dependent plasticity.

6 odes emerge in this microcircuit motif under spike timing-dependent plasticity.

7 a manner consistent with the predictions of spike timing-dependent plasticity.

8 tex excitability following the principles of spike-timing-dependent plasticity.

9 PAS is based on the principles of spike-timing-dependent plasticity.

10 similarity with experimental results seen in spike-timing-dependent plasticity.

11 n of a dedicated fear circuit shaped through spike-timing-dependent plasticity.

12 te resistance states, which enables synaptic spike-timing-dependent plasticity.

13 pathway can be manipulated following Hebbian spike-timing-dependent plasticity.

14 iking recurrent neural network incorporating spike-timing-dependent plasticity.

15 upervision in a simulated neural network via spike-timing-dependent plasticity.

16 rvous system based on the Hebbian concept of spike-timing-dependent plasticity.

17 consider to be a problem with Hebbian (i.e., spike-timing-dependent) plasticity.

18 om the left to the right V5/MT+, by inducing spike-timing-dependent plasticity(6) in this pathway, in

19 onal synchronization has also been linked to spike timing-dependent plasticity, a cellular mechanism

20 nner not predicted by the well-known rule of spike timing-dependent plasticity and requiring activati

21 We discuss the advantages and limitations of spike timing-dependent plasticity and the more recently

22 We review three of them-synaptic scaling, spike-timing dependent plasticity and synaptic redistrib

23 network (SNN) model of MSTd based on evolved spike-timing-dependent plasticity and homeostatic synapt

24 e reconciles apparent contradictions between spike-timing-dependent plasticity and previous work at C

25 ipples thus establish optimal conditions for spike-timing-dependent plasticity and systems consolidat

26 show that in visual cortex the rules of this spike-timing-dependent plasticity are not rigid, but sha

27 luding long-term potentiation/depression and spike-timing-dependent plasticity, are mimicked.

28 indings implicate alterations in DCN bimodal spike timing-dependent plasticity as underlying mechanis

29 at our model reproduces neuromodulator-gated spike-timing-dependent plasticity as observed in the vis

30 idence detection, grouping by synchrony, and spike-timing-dependent plasticity, as well as for the pr

31 nput can bidirectionally control the sign of spike timing-dependent plasticity at local synapses in r

32 ity in remote neurons and subsequently allow Spike-Timing-Dependent Plasticity based learning to occu

33 g as input, the model can be trained using a spike-timing-dependent plasticity-based learning rule to

34 locked firing during spindles may facilitate spike-timing-dependent plasticity by grouping pre-then-p

35 In addition, a model with spike timing-dependent plasticity can overcome a natural

36 These results support the idea that spike timing-dependent plasticity can rapidly adjust the

37 on in vivo and in vitro, the degree to which spike timing-dependent plasticity can shape receptive fi

38 A cellular learning rule known as spike-timing-dependent plasticity can form, reshape and

39 integrated, open-source software (StdpC, for spike timing-dependent plasticity clamp).

40 ed in vitro, it is less clear to what degree spike timing-dependent plasticity contributes to shaping

41 his model gives rise to a large diversity of spike timing-dependent plasticity curves, most of which

42 ic changes induced at individual synapses by spike timing-dependent plasticity do not strictly follow

43 nized structure in a recurrent network, with spike timing-dependent plasticity driven by spontaneous

44 dence in humans for conditions conducive for spike-timing-dependent plasticity during spindles is abs

45 Hence, we propose that spike timing-dependent plasticity enables this microcirc

46 ogous to those governing the associative and spike timing-dependent plasticity exhibited by individua

47 Although spike timing-dependent plasticity has been well-characte

48 Spike-timing dependent plasticity has been associated wi

49 Cellular mechanisms underlying spike-timing-dependent plasticity have been studied exte

50 The plasticity rule is a form of spike timing dependent plasticity in which a presynaptic

51 participate in oscillatory phase coding and spike timing-dependent plasticity in coordination with o

52 at coincides with reinforcement, and Hebbian spike timing-dependent plasticity in Kenyon cells alone

53 We show that spike timing-dependent plasticity in L2/L3 pyramids from

54 ationship between binge alcohol drinking and spike timing-dependent plasticity in nucleus accumbens (

55 tine during adolescence alters the rules for spike timing-dependent plasticity in prefrontal networks

56 al pathways, our results are consistent with spike timing-dependent plasticity in reticulospinal circ

57 that enhances movement therapy by directing spike timing-dependent plasticity in spared motor pathwa

58 inal pathways, at timings predicted to cause spike timing-dependent plasticity in the brainstem.

59 ress these questions, we develop a theory of spike-timing dependent plasticity in balanced networks.

60 The derived learning rule is consistent with spike-timing dependent plasticity in that a presynaptic

61 In particular, spike-timing-dependent plasticity in excitation-inhibiti

62 Here we studied metaplasticity affecting spike-timing-dependent plasticity, in which the polarity

63 ever, that synaptic weight changes caused by spike timing dependent plasticity increase the distance

64 Spike timing-dependent plasticity is accompanied by chan

65 meter of a gate bias voltage pulse, synaptic spike-timing-dependent plasticity learning behaviour is

66 ection, long-term potentiation/depression, a spike-timing-dependent plasticity learning rule, paired-

67 in a model network developing according to a spike-timing-dependent plasticity learning rule.

68 Here, we present a new class of spike-timing-dependent plasticity learning rules with lo

69 Correlated cholinergic input induces spike timing-dependent plasticity-like hippocampal synap

70 e key determinants of dendritic integration, spike timing-dependent plasticity, long-term potentiatio

71 ch as temporally asymmetric LTP induction or spike timing-dependent plasticity) may be at work in bot

72 ation when synaptic strengths evolve through spike-timing dependent plasticity mechanisms.

73 We show that inhibitory spike-timing dependent plasticity (modelling non-associa

74 ow gamma oscillatory activity may facilitate spike timing-dependent plasticity, neural communication,

75 If memories are stored by spike timing-dependent plasticity, neuronal interactions

76 wo photon-guided focal stimulation, we found spike timing-dependent plasticity of proximal excitatory

77 se findings are the first demonstration that spike timing-dependent plasticity of residual corticospi

78 Spike timing-dependent plasticity of synapses between co

79 may be partially and transiently reversed by spike timing-dependent plasticity of synapses between up

80 the developing mouse visual cortex including spike-timing-dependent plasticity of both the feedforwar

81 Here, we show that spike-timing-dependent plasticity of inhibitory-to-excit

82 In addition, we determined that PSD and spike-timing-dependent plasticity operating in parallel

83 ponent analysis and bottom-up models such as spike-timing dependent plasticity or the Bienenstock-Coo

84 S, which is thought to tap into Hebbian-like spike-timing dependent plasticity, over a motion process

85 A spike timing-dependent plasticity protocol revealed chan

86 Furthermore, a spike timing-dependent plasticity protocol, in which two

87 A recent study shows that a spike-timing-dependent plasticity protocol can potentiat

88 nduced in inhibitory neurons by conventional spike-timing-dependent plasticity protocols.

89 cesses, including reinforcement learning and spike-timing-dependent plasticity, requires the use of a

90 can sculpt recurrent activity according to a spike timing-dependent plasticity rule, and that impairi

91 ronal cells, consistent with a bidirectional spike-timing-dependent plasticity rule previously derive

92 We describe a method to derive spike-timing-dependent plasticity rules for self-repair,

93 ough genetically driven algorithms, in which spike timing-dependent plasticity serves no instructive

94 We are addressing here the question how spike timing-dependent plasticity shapes the computation

95 Spike-timing dependent plasticity simulations showed tha

96 central to the acquisition of novel actions.Spike timing dependent plasticity (STDP) has been studie

97 kinetics, change the receptor's response to spike timing dependent plasticity (STDP) protocols, and

98 aptic weights are updated via brain-inspired spike timing dependent plasticity (STDP).

99 Spike timing-dependent plasticity (STDP) and other conve

100 Spike timing-dependent plasticity (STDP) as a Hebbian sy

101 Recent findings of spike timing-dependent plasticity (STDP) have stimulated

102 ge alcohol drinking to assess its effects on spike timing-dependent plasticity (STDP) in medium spiny

103 Many cortical synapses exhibit spike timing-dependent plasticity (STDP) in which the pr

104 In model studies, such spike timing-dependent plasticity (STDP) introduces the

105 Spike timing-dependent plasticity (STDP) is a learning r

106 Spike timing-dependent plasticity (STDP) is under neurom

107 cate that the signaling machinery underlying spike timing-dependent plasticity (STDP) may be separate

108 Spike timing-dependent plasticity (STDP) modifies synapt

109 activation of D1-type DA receptors regulates spike timing-dependent plasticity (STDP) of the medial p

110 s delivered at theta frequency, while global spike timing-dependent plasticity (STDP) protocols faile

111 nduces long-term depression (LTD) and shifts spike timing-dependent plasticity (STDP) toward LTD at G

112 Here, we report that spike timing-dependent plasticity (STDP) was absent in t

113 tial firing during NREM sleep, together with spike timing-dependent plasticity (STDP), reconfigures n

114 or indirect pathways determines the form of spike timing-dependent plasticity (STDP), the manner by

115 tion of developing retinotectal circuits via spike timing-dependent plasticity (STDP).

116 endent long-term potentiation (LTP), such as spike timing-dependent plasticity (STDP).

117 ontrolled non-invasive stimulation to elicit spike timing-dependent plasticity (STDP).

118 nd postsynaptic firing, in a paradigm termed spike timing-dependent plasticity (STDP).

119 iation (LTP), long-term depression (LTD) and spike-timing dependent plasticity (STDP) are demonstrate

120 on the mechanisms of eCB bidirectionality in spike-timing dependent plasticity (STDP) at corticostria

121 We demonstrate that spike-timing dependent plasticity (STDP) enhances synchr

122 Spike-timing dependent plasticity (STDP) is a widespread

123 However, its effect on the induction of spike-timing dependent plasticity (STDP) is not clear.

124 synapses are excitatory and undergo hebbian spike-timing dependent plasticity (STDP) on a +/-25 ms t

125 Instead, we demonstrate that spike-timing dependent plasticity (STDP), a form of Hebb

126 nnections are temporally opposed versions of spike-timing dependent plasticity (STDP), leading to a s

127 e mechanism for mediating such refinement is spike-timing dependent plasticity (STDP), which translat

128 etworks typically combine point neurons with spike-timing-dependent plasticity (STDP) as the learning

129 Classic in vitro studies have described spike-timing-dependent plasticity (STDP) at a synapse: t

130 gnaling shapes the temporal window governing spike-timing-dependent plasticity (STDP) at sensory syna

131 at this can actually occur through a form of spike-timing-dependent plasticity (STDP) at the cerebell

132 However, investigations of spike-timing-dependent plasticity (STDP) at these synaps

133 We also show that spike-timing-dependent plasticity (STDP) can be harnesse

134 licative fluctuations on a scale of days and spike-timing-dependent plasticity (STDP) effects on a sc

135 Such spike-timing-dependent plasticity (STDP) follows rules t

136 how these memory traces could emerge through spike-timing-dependent plasticity (STDP) has been missin

137 This spike-timing-dependent plasticity (STDP) has been studie

138 nterest in the neuromorphic emulation of the spike-timing-dependent plasticity (STDP) Hebbian learnin

139 hat uses ultra-low (<= 1 Hz) frequency (ULF) spike-timing-dependent plasticity (STDP) in mouse models

140 Spike-timing-dependent plasticity (STDP) is a form of lo

141 This phenomenon of spike-timing-dependent plasticity (STDP) is believed to

142 Spike-timing-dependent plasticity (STDP) is considered a

143 Spike-timing-dependent plasticity (STDP) is considered a

144 nt modification of synaptic strengths due to spike-timing-dependent plasticity (STDP) is sensitive to

145 Spike-timing-dependent plasticity (STDP) modifies synapt

146 Here we examine spike-timing-dependent plasticity (STDP) of inhibitory s

147 Here, we study the effects of ongoing spike-timing-dependent plasticity (STDP) on the stabilit

148 on synaptic plasticity, we trigger a single spike-timing-dependent plasticity (STDP) pairing once pe

149 S831D/S845D mice exhibited LTP induced with spike-timing-dependent plasticity (STDP) protocol at a l

150 Here, we show that in vivo a spike-timing-dependent plasticity (STDP) protocol-consis

151 As a result, the notion that a single spike-timing-dependent plasticity (STDP) rule alone can

152 nd their postsynaptic targets obey a Hebbian spike-timing-dependent plasticity (STDP) rule.

153 s are consistent with experimentally derived spike-timing-dependent plasticity (STDP) rules, suggesti

154 neurons are modified under the influence of spike-timing-dependent plasticity (STDP) rules.

155 We model synaptic weight adaptation with spike-timing-dependent plasticity (STDP) that runs on a

156 PMv-to-M1 and SMA-to-M1 pathways via Hebbian spike-timing-dependent plasticity (STDP) to test their f

157 r structural plasticity mechanisms: (i) only spike-timing-dependent plasticity (STDP), (ii) only home

158 The spike-timing-dependent plasticity (STDP), a synaptic lea

159 to underlie changes in neuronal responses is spike-timing-dependent plasticity (STDP), an up- or down

160 e-cell properties, such as spiking dynamics, spike-timing-dependent plasticity (STDP), and acetylchol

161 aptic plasticity (BTSP), rather than Hebbian spike-timing-dependent plasticity (STDP), best explains

162 long-term synaptic plasticity, which we call spike-timing-dependent plasticity (STDP), depends on the

163 l of long-term plasticity, more specifically spike-timing-dependent plasticity (STDP), such that it w

164 In spike-timing-dependent plasticity (STDP), the order and

165 ter-population synaptic connectivity through spike-timing-dependent plasticity (STDP).

166 leaky integrate-and-fire (LIF) neurons with spike-timing-dependent plasticity (STDP).

167 ive learning dynamics -similarly to additive spike-timing-dependent plasticity (STDP).

168 ed neurons to learn its connectivity through spike-timing-dependent plasticity (STDP).

169 cording to a biological learning rule called spike-timing-dependent plasticity (STDP).

170 e synaptic strength of cortical connections [spike-timing-dependent plasticity (STDP)], but how the p

171 riments, we discovered a form of hippocampal Spike-Timing-Dependent-Plasticity (STDP) that is sequent

172 stimulation (PAS) protocols induce forms of spike-timing-dependent-plasticity (STDP) when paired pul

173 er of tens of milliseconds, which is termed "spike-timing-dependent plasticity" (STDP).(4) Evidence f

174 Spike timing-dependent plasticity, STDP, has attracted c

175 an important computational function through spike timing-dependent plasticity: The capability to dis

176 tory synapses show long-term plasticity, but spike timing-dependent plasticity was seen only at excit

177 We show that spike-timing-dependent plasticity with both pre- and pos

178 the shift from potentiation to depression in spike-timing-dependent plasticity with its asymmetry, th

179 response properties can emerge from evolving spike-timing-dependent plasticity with STDP-H parameters