ライフサイエンスコーパス: temporal difference

1 ies can illuminate fine-grained regional and temporal differences.

2 However, there were strong spatio-temporal differences.

3 ; 95% CI, -1.78 to -0.29 um per year), inner temporal (difference, -0.61 um per year; 95% CI, -1.16 t

4 However, the central tenet of temporal difference accounts-that similar transients evo

5 , higher anhedonia was associated with lower temporal difference activation in the ventral tegmental

6 Using a temporal difference algorithm to model learning, we foun

7 complicated approval processes, high costs, temporal differences among the registries, and registry

8 The temporal differences and the evidence of repression indi

9 ork has been done to determine whether these temporal differences are actually used in discriminating

10 These temporal differences are greater than expected from neur

11 owever, in early visual pathways, well known temporal differences are present between center and surr

12 ssed but how this variability relates to the temporal differences at central synapses is incompletely

13 ing, induces t-LTD which is sensitive to the temporal difference between post- and presynaptic firing

14 resentation at that site may account for the temporal difference between retinal and anterior segment

15 The temporal difference between the tethered and swimming ce

16 through dentate gyrus (DG), giving rise to a temporal difference between these two activation states,

17 The temporal differences between each of these inputs sugges

18 e models is experiential and reports ongoing temporal differences between expected and experienced re

19 ng changes are generally consistent with the temporal differences between spatiotemporal receptive fi

20 We argue that fine-temporal differences between species in breeding activit

21 tradeoff between available fluid volumes and temporal differences between steps.

22 This study of the geochemical and temporal differences between the NW and SE Elysium lava

23 We interpret the geochemical and temporal differences between the SE and NW lava fields t

24 Temporal differences between well types were also observ

25 Therefore, temporal differences between whisker stimulation is a li

26 has frequently been assumed to be learned by temporal difference bootstrapping (SR-TD(0)), but this a

27 des a biologically predictive alternative to temporal difference conditioning models and explains sub

28 were trained on HR-GLDD and fine-tuned with temporal difference data using transfer learning.

29 inhibitors (TIMPs), was selective and showed temporal differences during the development of fibrosis.

30 een grass and mite allergen components, with temporal differences (early vs late onset) dominant in g

31 was received as learned, withheld (negative temporal difference error (NTDE)), or received unexpecte

32 (NTDE)), or received unexpectedly (positive temporal difference error (PTDE)).

33 mediated by brain regions that also support temporal difference error (TDE) processing; yet, the imp

34 al modelling was used to obtain the expected temporal difference errors during this task.

35 reward prediction errors (RPEs), resembling temporal difference errors used in machine learning.

36 o 4 degrees C suggests that quantitative and temporal differences exist between these molecular respo

37 Moreover, a temporal difference exists with respect to the timing of

38 operator head radiation exposure (mean left temporal difference [external-internal] radiation dose w

39 In this study, temporal differences from pre and post-event high-resolu

40 differences (i.e., water depth) rather than temporal differences (i.e., day versus night) better-exp

41 The temporal difference in expression of homeostatic changes

42 we have identified cDNA PCR products with a temporal difference in expression.

43 We have previously shown that there is a temporal difference in human CRX: gene expression compar

44 This temporal difference in receptor-activation that was nece

45 s in underestimation of the rates but little temporal difference in the trends.

46 Spatial and temporal differences in ADCs may provide insight into me

47 py and scanning electron microscopy revealed temporal differences in adhesion, proliferation, bacteri

48 This study explores temporal differences in AF burden associated with HF hos

49 Spatial and temporal differences in BDNF and NT4 expression can regu

50 The spatial and temporal differences in bilateral VI prevalence from the

51 s of conserved neural cell types, as well as temporal differences in brain development.

52 In vitro kinase assays demonstrated temporal differences in CDK2 and CDK6 activities which w

53 se a model that accounts for the spatial and temporal differences in charging emissions using margina

54 of foraging behaviour being shaped by local/temporal differences in climatic conditions.

55 We identify previously unknown spatial and temporal differences in CMA activity in multiple organs

56 used compound annual growth rates to assess temporal differences in consumption for each country and

57 e ability of auditory cortex to exploit fine temporal differences in cortical activity is unique to a

58 e outcomes strongly demonstrate regional and temporal differences in COVID-19 severity with environme

59 We observe significant temporal differences in diversity and abundance of Bifid

60 l within and among populations due to spatio-temporal differences in environmental conditions.

61 l reporter from P(sulA) revealed spatial and temporal differences in expression within IBCs, and it w

62 gnaling mechanisms may underlie the reported temporal differences in gene expression during leukotoxi

63 cifically address the research interest: the temporal differences in gene expression profiles between

64 n general, temperature groups displayed more temporal differences in genetic response than rainfall g

65 Quantitative and temporal differences in growth hormone secretion are kno

66 Temporal differences in habitat use and foraging special

67 because they do not consider the spatial and temporal differences in health and environmental damages

68 The results show large regional and temporal differences in health impacts per kg of emissio

69 Our studies show that spatial and temporal differences in Hh signaling within a common pop

70 These findings identify temporal differences in immune repopulation of the gut a

71 sceptibility at the KCNQ1 locus and identify temporal differences in imprinting status and methylatio

72 These temporal differences in low and high gamma suggest diffe

73 We detail temporal differences in mechanisms that lead to robust m

74 ive at delineating and recording spatial and temporal differences in metal inputs than bed sediments

75 ng the core molecular circadian clock, these temporal differences in MHb activity were absent, indica

76 Adjusting for covariates and temporal differences in microbiota composition, long-ter

77 exclusion by a membrane system causes spatio-temporal differences in molecular crowding states that a

78 These results suggest that spatial and temporal differences in nicotinic receptor activity on b

79 mass tag mass spectrometry further supports temporal differences in O-GlcNAcylation by revealing day

80 uli in the A(I) cortex, disclose significant temporal differences in primary, secondary and tertiary

81 s across all PVH compartments, clear spatial-temporal differences in recruitment profiles were noted

82 Understanding sex and temporal differences in response to early-life stress mi

83 rveillance data, we evaluated geographic and temporal differences in serotype distribution and within

84 uptake and protein synthesis is explained by temporal differences in signaling induced by these 2 cyt

85 nctional data analysis (FDA) to reveal finer temporal differences in sound exposure between groups.

86 Yet, temporal differences in strength were smaller than spati

87 In addition, temporal differences in tear protein expression between

88 ve qualitative, quantitative, positional and temporal differences in TGF-beta-related signals, Msx2 e

89 Our findings suggest that regional and temporal differences in the availability of endogenous H

90 Temporal differences in the conformation of a given subu

91 Yet, temporal differences in the expression of a reduced set

92 ibited similar growth when cocultivated, but temporal differences in the expression of PCB reductive

93 These temporal differences in the formation of histone locus b

94 Understanding temporal differences in the incidence and outcomes of ou

95 put to inhibitory neurons in M1 may indicate temporal differences in the inhibitory gating in L4 of M

96 ment that was associated with geographic and temporal differences in the minimum number of years that

97 We identify specific temporal differences in the ON/OFF pathways that, togeth

98 We observed temporal differences in the onset of immunoreactivity be

99 Temporal differences in the onset of trbeta2 expression

100 their degree of differentiation, suggesting temporal differences in the origin of each inverted regi

101 The spatial and temporal differences in the patterns of calcium elevatio

102 Our study reveals spatial and temporal differences in the rate of apical constriction

103 udinal analyses (n = 4) revealed significant temporal differences in the ratios of DRMs in the compar

104 a/M1 ATM balance is generated by spatial and temporal differences in the recruitment of distinct ATM

105 We discovered considerable spatial and temporal differences in the requirement for AP3/PI activ

106 Our investigations revealed temporal differences in the responses of S. sclarea to M

107 rons in male rats, and reveal that there are temporal differences in the responsiveness of discrete s

108 ial and fungal microbiota showed significant temporal differences in the rhizosphere and bulk soil.

109 This study examines the regional and temporal differences in the statistical relationship bet

110 ed breathing traces were used to account for temporal differences in the vasodilatory response across

111 The temporal differences in the way in which cortical activi

112 Despite marked temporal differences in their accumulation profiles, s36

113 Temporal differences in these parameters following schoo

114 t for reinforcement learning in the brain is temporal difference learning (TD) learning, whereby cert

115 The temporal difference learning (TDL) algorithm has been es

116 eward and learning is closely related to the temporal difference learning algorithm TD(lambda).

117 tive conditioning, computations described by temporal difference learning are expressed in the human

118 Temporal difference learning has been proposed as a mode

119 r, this behavior is naturally explained by a temporal difference learning model which includes ETs pe

120 e higher order prediction error described by temporal difference learning models, is compatible with

121 Q-learning as a model-free implementation of Temporal difference learning motivated by growing eviden

122 Temporal difference learning solves this problem, but it

123 ropagation of value along taken paths, as in temporal difference learning, and inference of value thr

124 Error-driven temporal difference learning, commonly used to learn suc

125 d and unconditioned stimuli, as predicted by temporal difference learning.

126 have inspired computational theories such as temporal difference learning.

127 g this credit assignment problem: In classic temporal-difference learning, earlier actions receive re

128 We hypothesized that temporal differences may also play a role, with tumor ph

129 for discriminating smaller, but not larger, temporal differences (measured in log units), consistent

130 Temporal difference methods of reinforcement learning ge

131 we demonstrate-on 2 different cohorts-that a temporal difference model, which relies on prediction er

132 Thus, in mice, amygdala activity conforms to temporal difference models of aversive learning.

133 ly learned values (e.g., prediction error or temporal difference models).

134 learning algorithms beyond those of standard temporal difference models.

135 signals for sequential learning predicted by temporal difference models.

136 ormance (r = -0.868, p < 0.0001), indicating temporal difference of the neural representations. Our s

137 e mechanism to counteract location-dependent temporal differences of dendritic inputs at the soma.

138 energy during the eddy propagation, spatial-temporal differences of kinetic energy between cyclonic

139 y, during three different months showed that temporal differences of taxonomic and functional diversi

140 lder adults, significance of any spatial and temporal differences on the prevalence, and any associat

141 Despite this temporal difference, our data indicate that the expansio

142 udo-F = 27.547, p = 0.001) were greater than temporal differences over 24 h (pseudo F = 2.0938, p = 0

143 icular type of instructive signal known as a temporal difference prediction error.

144 neurons represents reinforcement learning's temporal difference prediction error.

145 on of longitudinal images in order to make a temporal difference prediction.

146 icate that cue-evoked transients function as temporal-difference prediction errors rather than reward

147 Over recent decades, temporal difference reinforcement learning (TDRL) models

148 veloped two computational models grounded in temporal difference reinforcement learning (TDRL)(6)(,)(

149 free reinforcement learning theories such as temporal difference reinforcement learning (TDRL), which

150 signals emitted by dopaminergic neurons and temporal difference reinforcement learning algorithms.

151 me signaling to cue signaling, a hallmark of temporal difference reinforcement learning as applied to

152 activity is tied to the prediction error in temporal difference reinforcement learning models.

153 al value-based prediction error contained in temporal difference reinforcement learning models.

154 ural learning systems can be modeled through temporal-difference reinforcement learning (TDRL), which

155 ard conditioning and cannot be accounted for temporal-difference reinforcement learning.

156 ered synonymous with the prediction error in temporal-difference reinforcement learning.(1-4) Central

157 ignals in the ventral striatum and increased temporal difference-related (dopaminergic) activation in

158 e the relationship between anhedonia and the temporal difference-related response of the ventral tegm

159 thy controls, showed significantly increased temporal difference reward learning activation in the ve

160 sequence learning tasks, and that use of the temporal difference reward prediction error is required

161 to update the G and N matrices utilizing the temporal difference reward prediction error.

162 tional reward-system may exist, with blunted temporal difference reward-related learning signals in t

163 nforced preceding action choices by encoding temporal-difference reward prediction errors.

164 s of rules for each age group to capture the temporal differences seen in the immune responses of the

165 try and explains substantial variance in the temporal difference successor matrix, consequently givin

166 -guided choice in the brain, the predominant temporal difference (TD) algorithm cannot explain many f

167 for understanding this capacity has been the temporal difference (TD) algorithm for reinforcement lea

168 ble similarity to a type of teaching signal (temporal difference (TD) error) used in machine learning

169 ignal reward prediction errors as defined in temporal difference (TD) learning algorithms.

170 The temporal difference (TD) learning model has been a corne

171 ng of expected reward delivery-and applied a temporal difference (TD) learning model to characterize

172 rning model (ANCCR), but can be explained by temporal difference (TD) learning models equipped with a

173 Temporal difference (TD) learning models posit that thes

174 g with those thought to carry out model-free temporal difference (TD) learning.

175 DANs are thought to provide a substrate for temporal difference (TD) reinforcement learning (RL), an

176 ration) reward-learning signal, described by temporal difference (TD) theory.

177 Temporal-difference (TD) learning models afford the neur

178 pamine (DA) neurons as an alternative to the temporal-differences (TD) algorithm.

179 aberrant associative learning, modeled using temporal difference theory with an expected reward value

180 aberrant associative learning, modeled using temporal difference theory with ERV linked to craving.

181 ionally dependent magnitude differences, not temporal differences, underlie PSP directionality.

182 es of associative learning (Rescorla-Wagner, temporal difference vs. Pearce-Hall, Mackintosh).

183 The majority of these spatio-temporal differences were detected before birth, with su

184 increased through the night, while no strong temporal differences were observed at inland sites.

185 ng product and meat types were found, but no temporal differences were observed.