Lesions and temporary inactivation of the hippocampus (HPC) in rodents occasionally lead to discrepant amnesic effects. We directly compared and contrasted the retrograde amnesic effects that small HPC lesions (~50% d...Lesions and temporary inactivation of the hippocampus (HPC) in rodents occasionally lead to discrepant amnesic effects. We directly compared and contrasted the retrograde amnesic effects that small HPC lesions (~50% damage), large HPC lesions (~80% damage), and combined dorsal and ventral HPC inactivation using the sodium channel blocker tetrodotoxin (TTX) had on contextual fear conditioning. Compared to control rats, large HPC lesions significantly reduced freezing during retention testing, a behaviour consistent with retrograde amnesia. In contrast, neither the small lesions nor the TTX inactivation significantly reduced freezing. The extent of damage was significantly and negatively correlated with retention performance (r<sub>(9)</sub> = -0.896, p < 0.001), suggesting that 70% or more of the HPC needed to be damaged to observe deficits. Importantly, TTX inactivation disrupted spatial memory in the Morris Water Task, confirming that our inactivation procedure did impair one form of HPC-dependent memory. To assess the extent of the TTX inactivation, immediate early gene expression was quantified in the HPC following the Morris Water Task. However, despite the behavioural impairment, we did not find a significant reduction in expression. We conclude that temporary inactivation of the HPC may fail to impair context fear memory because this technique does not sufficiently disrupt the HPC.展开更多
Architecture framework has become an effective method recently to describe the system of systems(SoS)architecture,such as the United States(US)Department of Defense Architecture Framework Version 2.0(DoDAF2.0).As a vi...Architecture framework has become an effective method recently to describe the system of systems(SoS)architecture,such as the United States(US)Department of Defense Architecture Framework Version 2.0(DoDAF2.0).As a viewpoint in DoDAF2.0,the operational viewpoint(OV)describes operational activities,nodes,and resource flows.The OV models are important for SoS architecture development.However,as the SoS complexity increases,constructing OV models with traditional methods exposes shortcomings,such as inefficient data collection and low modeling standards.Therefore,we propose an intelligent modeling method for five OV models,including operational resource flow OV-2,organizational relationships OV-4,operational activity hierarchy OV-5a,operational activities model OV-5b,and operational activity sequences OV-6c.The main idea of the method is to extract OV architecture data from text and generate interoperable OV models.First,we construct the OV meta model based on the DoDAF2.0 meta model(DM2).Second,OV architecture named entities is recognized from text based on the bidirectional long short-term memory and conditional random field(BiLSTM-CRF)model.And OV architecture relationships are collected with relationship extraction rules.Finally,we define the generation rules for OV models and develop an OV modeling tool.We use unmanned surface vehicles(USV)swarm target defense SoS architecture as a case to verify the feasibility and effectiveness of the intelligent modeling method.展开更多
文摘Lesions and temporary inactivation of the hippocampus (HPC) in rodents occasionally lead to discrepant amnesic effects. We directly compared and contrasted the retrograde amnesic effects that small HPC lesions (~50% damage), large HPC lesions (~80% damage), and combined dorsal and ventral HPC inactivation using the sodium channel blocker tetrodotoxin (TTX) had on contextual fear conditioning. Compared to control rats, large HPC lesions significantly reduced freezing during retention testing, a behaviour consistent with retrograde amnesia. In contrast, neither the small lesions nor the TTX inactivation significantly reduced freezing. The extent of damage was significantly and negatively correlated with retention performance (r<sub>(9)</sub> = -0.896, p < 0.001), suggesting that 70% or more of the HPC needed to be damaged to observe deficits. Importantly, TTX inactivation disrupted spatial memory in the Morris Water Task, confirming that our inactivation procedure did impair one form of HPC-dependent memory. To assess the extent of the TTX inactivation, immediate early gene expression was quantified in the HPC following the Morris Water Task. However, despite the behavioural impairment, we did not find a significant reduction in expression. We conclude that temporary inactivation of the HPC may fail to impair context fear memory because this technique does not sufficiently disrupt the HPC.
基金National Natural Science Foundation of China(71690233,71971213,71901214)。
文摘Architecture framework has become an effective method recently to describe the system of systems(SoS)architecture,such as the United States(US)Department of Defense Architecture Framework Version 2.0(DoDAF2.0).As a viewpoint in DoDAF2.0,the operational viewpoint(OV)describes operational activities,nodes,and resource flows.The OV models are important for SoS architecture development.However,as the SoS complexity increases,constructing OV models with traditional methods exposes shortcomings,such as inefficient data collection and low modeling standards.Therefore,we propose an intelligent modeling method for five OV models,including operational resource flow OV-2,organizational relationships OV-4,operational activity hierarchy OV-5a,operational activities model OV-5b,and operational activity sequences OV-6c.The main idea of the method is to extract OV architecture data from text and generate interoperable OV models.First,we construct the OV meta model based on the DoDAF2.0 meta model(DM2).Second,OV architecture named entities is recognized from text based on the bidirectional long short-term memory and conditional random field(BiLSTM-CRF)model.And OV architecture relationships are collected with relationship extraction rules.Finally,we define the generation rules for OV models and develop an OV modeling tool.We use unmanned surface vehicles(USV)swarm target defense SoS architecture as a case to verify the feasibility and effectiveness of the intelligent modeling method.
