Humans achieve cognitive development through continuous interaction with their environment,enhancing both perception and behavior.However,current robots lack the capacity for human-like action and evolution,posing a b...Humans achieve cognitive development through continuous interaction with their environment,enhancing both perception and behavior.However,current robots lack the capacity for human-like action and evolution,posing a bottleneck to improving robotic intelligence.Existing research predominantly models robots as one-way,static mappings from observations to actions,neglecting the dynamic processes of perception and behavior.This paper introduces a novel approach to robot cognitive learning by considering physical properties.We propose a theoretical framework wherein a robot is conceptualized as a three-body physical system comprising a perception-body(P-body),a cognition-body(C-body),and a behavior-body(B-body).Each body engages in physical dynamics and operates within a closed-loop interaction.Significantly,three crucial interactions connect these bodies.The C-body relies on the Pbody's extracted states and reciprocally offers long-term rewards,optimizing the P-body's perception policy.In addition,the C-body directs the B-body's actions through sub-goals,and subsequent P-body-derived states facilitate the C-body's cognition dynamics learning.At last,the B-body would follow the sub-goal generated by the C-body and perform actions conditioned on the perceptive state from the P-body,which leads to the next interactive step.These interactions foster the joint evolution of each body,culminating in optimal design.To validate our approach,we employ a navigation task using a four-legged robot,D'Kitty,equipped with a movable global camera.Navigational prowess demands intricate coordination of sensing,planning,and D'Kitty's motion.Leveraging our framework yields superior task performance compared with conventional methodologies.In conclusion,this paper establishes a paradigm shift in robot cognitive learning by integrating physical interactions across the P-body,C-body,and B-body,while considering physical properties.Our framework's successful application to a navigation task underscores its efficacy in enhancing robotic intelligence.展开更多
College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philos...College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philosophies,traditional college English teaching methods no longer meet the learning needs of contemporary students.Situational cognitive learning theory emphasizes learner-centered approaches and highlights the contextual and practical application of knowledge,offering innovative perspectives for reforming college English teaching.When applied effectively,situational cognitive learning theory can optimize teaching methods and significantly improve learning outcomes.This paper explores the connotation and characteristics of situational cognitive learning theory,evaluates its applicability in college English teaching,and discusses its practical implementation in this context.The aim is to provide theoretical and practical references for improving the quality of college English education.展开更多
Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical...Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical developments in Anderson’s production systems cover a broader range of behavior than other theories, including comprehension and production of oral and written texts as well as comprehension, problem solving, and verbal learning.Thus Anderson’s cognitive theory can be served as a rationale for learning strategy studies in second language acquisition.展开更多
Interpreting activity is considered a high-anxiety activity due to its immediacy, multitasking, complexity of cognitive processing, and uncertainty of cognitive processing. Research has shown that interpreting anxiety...Interpreting activity is considered a high-anxiety activity due to its immediacy, multitasking, complexity of cognitive processing, and uncertainty of cognitive processing. Research has shown that interpreting anxiety, as the biggest emotional obstacle in the interpreting process, is the main emotional factor that leads to individual differences in interpreting. Students often claim to have fear or anxiety behaviors in interpreting exams, interpreting competitions, and interpreting classes. However, the research on interpreting teaching attaches importance to the cultivation of language knowledge, cultural knowledge, and interpreting skills, and does not pay enough attention to emotional factors such as motivation and anxiety in interpreting learning, which makes it difficult for the cultivated interpreters to meet the requirements of professional practice. In recent years, virtual reality technology (VR) has been gradually applied in the field of foreign language and interpreting teaching for creating a real, interactive and experiential language learning environment. Situated Learning Theory stresses that the fundamental mechanism for learning to take place is for individuals to participate in the real context in which knowledge is generated, and to realize the construction of knowledge through the interaction with the community of practice and the environment. Virtual reality technology can satisfy the needs of language learners for real contexts by providing learners with immersive, imaginative and interactive scenario simulations, and has a certain positive effect on alleviating learning anxiety. Therefore, relying on the virtual simulation course “United Nations Kubuqi International Desert Ecological Science and Technology Innovation International Volunteer Language Service Practical Training System”, this paper adopts a combination of quantitative and qualitative analyses to investigate the interpretation anxiety level of the interpreter trainees and the factors affecting them in the VR situation to help them discover effective responses to interpreter anxiety.展开更多
Personal Learning Environment(PLE)enables a knowledge-based,learner-centered lifelong learning which could be successfully integrated with formal education when taking educators’supervision into consideration.But do ...Personal Learning Environment(PLE)enables a knowledge-based,learner-centered lifelong learning which could be successfully integrated with formal education when taking educators’supervision into consideration.But do learners’preferred Learning Styles matter in PLE?To investigate the relationship among learners’Learning Styles,learning outcomes and satisfaction towards the PLE platform,the study constructed and applied a supervised-PLE-IELTS platform.57 sophomores majored in Business in Wenzhou University took part in a 16-week project.Data were collected by Honey and Mumford’s Learning Styles questionnaire for the Learning Styles,post-test of IELTS reading,listening and vocabulary for the cognitive learning outcomes,and Distance Education Learning Environments Survey(DELES)for the satisfaction towards the PLE platform.The results showed:(1)Learning Styles have positive relationship with the cognitive learning achievements in PLE;(2)Learning Styles had no direct effect on satisfaction,and learners of all Learning Styles enjoyed PLE-IELTS platform;and(3)learners who spent more time on PLE platform achieved better cognitive learning outcomes.The paper shed light on the future construction of supervised-PLEs.展开更多
Predicting the progression from Mild Cognitive Impairment(MCI)to Alzheimer's Disease(AD)is a critical challenge for enabling early intervention and improving patient outcomes.While longitudinal multi-modal neuroim...Predicting the progression from Mild Cognitive Impairment(MCI)to Alzheimer's Disease(AD)is a critical challenge for enabling early intervention and improving patient outcomes.While longitudinal multi-modal neuroimaging data holds immense potential for capturing the spatio-temporal dynamics of disease progression,its effective analysis is hampered by significant challenges:temporal heterogeneity(irregularly sampled scans),multi-modal misalignment,and the propensity of deep learning models to learn spurious,noncausal correlations.We propose CASCADE-Net,a novel end-to-end pipeline for robust and interpretable MCI-to-AD progression prediction.Our architecture introduces a Dynamic Temporal Alignment Module that employs a Neural Ordinary Differential Equation(Neural ODE)to model the continuous,underlying progression of pathology from irregularly sampled scans,effectively mapping heterogeneous patient data to a unified latent timeline.This aligned,noise-reduced spatio-temporal data is then processed by a predictive model featuring a novel Causal Spatial Attention mechanism.This mechanism not only identifies the critical brain regions and their evolution predictive of conversion but also incorporates a counterfactual constraint during training.This constraint ensures the learned features are causally linked to AD pathology by encouraging invariance to non-causal,confounder-based changes.Extensive experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset demonstrate that CASCADE-Net significantly outperforms state-of-the-art sequential models in prognostic accuracy.Furthermore,our model provides highly interpretable,causally-grounded attention maps,offering valuable insights into the disease progression process and fostering greater clinical trust.展开更多
English, has not only become the international language as it is spoken by a large number of native speakers of other languages and serves as a language of wider communication but also achieved a genuinely global stat...English, has not only become the international language as it is spoken by a large number of native speakers of other languages and serves as a language of wider communication but also achieved a genuinely global status owing to its special role recognized in every country. Under such circumstances, greater importance has been attached to English teaching of which reading has been given some privileges at the tertiary level in China. Hence, it is very essential for language teachers to have a good understanding about how to teach reading in a college English classroom. This article discusses what reading is, the important issues in teaching reading, and gives some proposals for how to teach reading efficiently in a college English classroom, aiming to give an idea that reading can be learnt effectively if students are motivated, exposed to English language and given chances to use English.展开更多
This article critically examines three most influential learning theories that underlie the instruction and learning environments in second language learning (SLL). Evaluation follows the description of each theory. T...This article critically examines three most influential learning theories that underlie the instruction and learning environments in second language learning (SLL). Evaluation follows the description of each theory. The point is to understand the impacts of different theories on second language learning. The paper argues that an integrated approach, which combines the three theories, is needed.展开更多
Built on a multi-variable exploratory experiment on technology-enhanced learning,this study was anempirical inqui ry into the variable of learning content and its resources. Informed by the empirical find-ings and con...Built on a multi-variable exploratory experiment on technology-enhanced learning,this study was anempirical inqui ry into the variable of learning content and its resources. Informed by the empirical find-ings and conclusions as well as relevant theoretical underpinnings,the article analyzed the m ode of rep-resentation of S-DIP deep learning resources, its c0rresponding representation methods and characteris-tics,and five development principles for deep learning resources.The analysis led to the construction ofa development model for CRF deep learning resources.The article was rounded off with a profound in-terpretation of the concept of deep learning resources and recommendation of application strategies.展开更多
As an interdisciplinary research approach,traditional cognitive science adopts mainly the experiment,induction,modeling,and validation paradigm.Such models are sometimes not applicable in cyber-physical-socialsystems ...As an interdisciplinary research approach,traditional cognitive science adopts mainly the experiment,induction,modeling,and validation paradigm.Such models are sometimes not applicable in cyber-physical-socialsystems (CPSSs),where the large number of human users involves severe heterogeneity and dynamics.To reduce the decision-making conflicts between people and machines in human-centered systems,we propose a new research paradigm called parallel cognition that uses the system of intelligent techniques to investigate cognitive activities and functionals in three stages:descriptive cognition based on artificial cognitive systems (ACSs),predictive cognition with computational deliberation experiments,and prescriptive cognition via parallel behavioral prescription.To make iteration of these stages constantly on-line,a hybrid learning method based on both a psychological model and user behavioral data is further proposed to adaptively learn an individual’s cognitive knowledge.Preliminary experiments on two representative scenarios,urban travel behavioral prescription and cognitive visual reasoning,indicate that our parallel cognition learning is effective and feasible for human behavioral prescription,and can thus facilitate human-machine cooperation in both complex engineering and social systems.展开更多
The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects assoc...The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects associated with the shapes of Arabic numeral to produce marvelous imagination,MMOASAPMI).The results indicated as follows:Firstly,the postgraduates,who applied the MMOASAPMI to memorize and recall the Everyday English from 30 to 100,could recite them well in sequence backward,forward,and randomly.The reaction time of reciting any sentence randomly is no more than 2 seconds.Secondly,it can transform the materials of the short-term memory into long-term memory quickly,and effectively prevent them from the interference of proactive and retroactive inhibition,so it is useful for keeping memorized information with less loss and remaining for a long period.Thirdly,with the materials in strong sequence,large quantities and the difficulty to memorize,it is an extremely effective method for memorizing them.Fourthly,the keys to improving the memory efficiency are the well-storing skills of memory,storing methods,and memory clues.展开更多
Objective： To investigate the preventive treatment effects of electroacupuncture（EA） on cognitive changes and brain damage in senescence-accelerated mouse prone 8（SAMP8） mice. Methods： The 5-month-old male SAMP8...Objective： To investigate the preventive treatment effects of electroacupuncture（EA） on cognitive changes and brain damage in senescence-accelerated mouse prone 8（SAMP8） mice. Methods： The 5-month-old male SAMP8 and age-matched homologous normal aging mice（SAMR1） were adopted in this study. EA stimulation at Baihui（GV 20） and Yintang（EX-HN 3） was performed every other day for 12 weeks, 4 weeks as a course. Morris water maze test and Nissl-stained with cresyl violet were used for cognitive impairments evaluation and brain morphometric analysis. Amyloid-β（Aβ） expression in hippocampus and parietal cortex was detected by immunohistochemistry, and apoptosis was observed by TUNEL staining. Results： After 3 courses of EA preventive treatment, the escape latencies of 8-month-old SAMP8 mice in EA group were significantly shortened than those of un-pretreated SAMP8 mice. Compared with SAMR1 mice, extensive neuronal changes were visualized in the CA1 area of hippocampus in SAMP8 mice, while these pathological changes and attenuate cell loss in hippocampal CA1 area of SAMP8 mice markedly reduced after EA preventive treatment. Furthermore, Aβ expression in hippocampus and parietal cortex of SAMP8 mice decreased significantly after EA treatment, and neuronal apoptosis decreased as well. Conclusion： EA preventive treatment at GV 20 and EX-HN 3 might improve cognitive deficits and neuropathological changes in SAMP8 mice, which might be, at least in part, due to the effects of reducing brain neuronal damage, decreasing neuronal apoptosis and inhibiting Aβ-containing aggregates.展开更多
基金jointly funded by the National Science and Technology Major Project of the Ministry of Science and Technology of China(2018AAA0102900)the"New Generation Artificial Intelligence"Key Field Research and Development Plan of Guangdong Province(2021B0101410002)。
文摘Humans achieve cognitive development through continuous interaction with their environment,enhancing both perception and behavior.However,current robots lack the capacity for human-like action and evolution,posing a bottleneck to improving robotic intelligence.Existing research predominantly models robots as one-way,static mappings from observations to actions,neglecting the dynamic processes of perception and behavior.This paper introduces a novel approach to robot cognitive learning by considering physical properties.We propose a theoretical framework wherein a robot is conceptualized as a three-body physical system comprising a perception-body(P-body),a cognition-body(C-body),and a behavior-body(B-body).Each body engages in physical dynamics and operates within a closed-loop interaction.Significantly,three crucial interactions connect these bodies.The C-body relies on the Pbody's extracted states and reciprocally offers long-term rewards,optimizing the P-body's perception policy.In addition,the C-body directs the B-body's actions through sub-goals,and subsequent P-body-derived states facilitate the C-body's cognition dynamics learning.At last,the B-body would follow the sub-goal generated by the C-body and perform actions conditioned on the perceptive state from the P-body,which leads to the next interactive step.These interactions foster the joint evolution of each body,culminating in optimal design.To validate our approach,we employ a navigation task using a four-legged robot,D'Kitty,equipped with a movable global camera.Navigational prowess demands intricate coordination of sensing,planning,and D'Kitty's motion.Leveraging our framework yields superior task performance compared with conventional methodologies.In conclusion,this paper establishes a paradigm shift in robot cognitive learning by integrating physical interactions across the P-body,C-body,and B-body,while considering physical properties.Our framework's successful application to a navigation task underscores its efficacy in enhancing robotic intelligence.
文摘College English teaching is a crucial component of higher education.Enhancing college students’English learning outcomes has long been a primary focus for educators.With the continuous evolution of educational philosophies,traditional college English teaching methods no longer meet the learning needs of contemporary students.Situational cognitive learning theory emphasizes learner-centered approaches and highlights the contextual and practical application of knowledge,offering innovative perspectives for reforming college English teaching.When applied effectively,situational cognitive learning theory can optimize teaching methods and significantly improve learning outcomes.This paper explores the connotation and characteristics of situational cognitive learning theory,evaluates its applicability in college English teaching,and discusses its practical implementation in this context.The aim is to provide theoretical and practical references for improving the quality of college English education.
文摘Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical developments in Anderson’s production systems cover a broader range of behavior than other theories, including comprehension and production of oral and written texts as well as comprehension, problem solving, and verbal learning.Thus Anderson’s cognitive theory can be served as a rationale for learning strategy studies in second language acquisition.
文摘Interpreting activity is considered a high-anxiety activity due to its immediacy, multitasking, complexity of cognitive processing, and uncertainty of cognitive processing. Research has shown that interpreting anxiety, as the biggest emotional obstacle in the interpreting process, is the main emotional factor that leads to individual differences in interpreting. Students often claim to have fear or anxiety behaviors in interpreting exams, interpreting competitions, and interpreting classes. However, the research on interpreting teaching attaches importance to the cultivation of language knowledge, cultural knowledge, and interpreting skills, and does not pay enough attention to emotional factors such as motivation and anxiety in interpreting learning, which makes it difficult for the cultivated interpreters to meet the requirements of professional practice. In recent years, virtual reality technology (VR) has been gradually applied in the field of foreign language and interpreting teaching for creating a real, interactive and experiential language learning environment. Situated Learning Theory stresses that the fundamental mechanism for learning to take place is for individuals to participate in the real context in which knowledge is generated, and to realize the construction of knowledge through the interaction with the community of practice and the environment. Virtual reality technology can satisfy the needs of language learners for real contexts by providing learners with immersive, imaginative and interactive scenario simulations, and has a certain positive effect on alleviating learning anxiety. Therefore, relying on the virtual simulation course “United Nations Kubuqi International Desert Ecological Science and Technology Innovation International Volunteer Language Service Practical Training System”, this paper adopts a combination of quantitative and qualitative analyses to investigate the interpretation anxiety level of the interpreter trainees and the factors affecting them in the VR situation to help them discover effective responses to interpreter anxiety.
基金This paper is part of the research results of Wenzhou basic scientific research project"Research on the mode and Countermeasures of coordinated development of Regional Higher Vocational Education and industrial agglomera-tion"(R2020023)。
文摘Personal Learning Environment(PLE)enables a knowledge-based,learner-centered lifelong learning which could be successfully integrated with formal education when taking educators’supervision into consideration.But do learners’preferred Learning Styles matter in PLE?To investigate the relationship among learners’Learning Styles,learning outcomes and satisfaction towards the PLE platform,the study constructed and applied a supervised-PLE-IELTS platform.57 sophomores majored in Business in Wenzhou University took part in a 16-week project.Data were collected by Honey and Mumford’s Learning Styles questionnaire for the Learning Styles,post-test of IELTS reading,listening and vocabulary for the cognitive learning outcomes,and Distance Education Learning Environments Survey(DELES)for the satisfaction towards the PLE platform.The results showed:(1)Learning Styles have positive relationship with the cognitive learning achievements in PLE;(2)Learning Styles had no direct effect on satisfaction,and learners of all Learning Styles enjoyed PLE-IELTS platform;and(3)learners who spent more time on PLE platform achieved better cognitive learning outcomes.The paper shed light on the future construction of supervised-PLEs.
文摘Predicting the progression from Mild Cognitive Impairment(MCI)to Alzheimer's Disease(AD)is a critical challenge for enabling early intervention and improving patient outcomes.While longitudinal multi-modal neuroimaging data holds immense potential for capturing the spatio-temporal dynamics of disease progression,its effective analysis is hampered by significant challenges:temporal heterogeneity(irregularly sampled scans),multi-modal misalignment,and the propensity of deep learning models to learn spurious,noncausal correlations.We propose CASCADE-Net,a novel end-to-end pipeline for robust and interpretable MCI-to-AD progression prediction.Our architecture introduces a Dynamic Temporal Alignment Module that employs a Neural Ordinary Differential Equation(Neural ODE)to model the continuous,underlying progression of pathology from irregularly sampled scans,effectively mapping heterogeneous patient data to a unified latent timeline.This aligned,noise-reduced spatio-temporal data is then processed by a predictive model featuring a novel Causal Spatial Attention mechanism.This mechanism not only identifies the critical brain regions and their evolution predictive of conversion but also incorporates a counterfactual constraint during training.This constraint ensures the learned features are causally linked to AD pathology by encouraging invariance to non-causal,confounder-based changes.Extensive experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset demonstrate that CASCADE-Net significantly outperforms state-of-the-art sequential models in prognostic accuracy.Furthermore,our model provides highly interpretable,causally-grounded attention maps,offering valuable insights into the disease progression process and fostering greater clinical trust.
文摘English, has not only become the international language as it is spoken by a large number of native speakers of other languages and serves as a language of wider communication but also achieved a genuinely global status owing to its special role recognized in every country. Under such circumstances, greater importance has been attached to English teaching of which reading has been given some privileges at the tertiary level in China. Hence, it is very essential for language teachers to have a good understanding about how to teach reading in a college English classroom. This article discusses what reading is, the important issues in teaching reading, and gives some proposals for how to teach reading efficiently in a college English classroom, aiming to give an idea that reading can be learnt effectively if students are motivated, exposed to English language and given chances to use English.
文摘This article critically examines three most influential learning theories that underlie the instruction and learning environments in second language learning (SLL). Evaluation follows the description of each theory. The point is to understand the impacts of different theories on second language learning. The paper argues that an integrated approach, which combines the three theories, is needed.
文摘Built on a multi-variable exploratory experiment on technology-enhanced learning,this study was anempirical inqui ry into the variable of learning content and its resources. Informed by the empirical find-ings and conclusions as well as relevant theoretical underpinnings,the article analyzed the m ode of rep-resentation of S-DIP deep learning resources, its c0rresponding representation methods and characteris-tics,and five development principles for deep learning resources.The analysis led to the construction ofa development model for CRF deep learning resources.The article was rounded off with a profound in-terpretation of the concept of deep learning resources and recommendation of application strategies.
基金Project supported by the National Natural Science Foundation of China (Nos.62076237,62073321,and U1811463)the Youth Innovation Promotion Association,Chinese Academy of Sciences (No.2021130)。
文摘As an interdisciplinary research approach,traditional cognitive science adopts mainly the experiment,induction,modeling,and validation paradigm.Such models are sometimes not applicable in cyber-physical-socialsystems (CPSSs),where the large number of human users involves severe heterogeneity and dynamics.To reduce the decision-making conflicts between people and machines in human-centered systems,we propose a new research paradigm called parallel cognition that uses the system of intelligent techniques to investigate cognitive activities and functionals in three stages:descriptive cognition based on artificial cognitive systems (ACSs),predictive cognition with computational deliberation experiments,and prescriptive cognition via parallel behavioral prescription.To make iteration of these stages constantly on-line,a hybrid learning method based on both a psychological model and user behavioral data is further proposed to adaptively learn an individual’s cognitive knowledge.Preliminary experiments on two representative scenarios,urban travel behavioral prescription and cognitive visual reasoning,indicate that our parallel cognition learning is effective and feasible for human behavioral prescription,and can thus facilitate human-machine cooperation in both complex engineering and social systems.
文摘The purpose of this study was to investigate the memory effects of the postgraduates’memorizing Everyday English from 30 to 100 using the Natural Numeral Imagery Memory(Method by memorizing the concrete objects associated with the shapes of Arabic numeral to produce marvelous imagination,MMOASAPMI).The results indicated as follows:Firstly,the postgraduates,who applied the MMOASAPMI to memorize and recall the Everyday English from 30 to 100,could recite them well in sequence backward,forward,and randomly.The reaction time of reciting any sentence randomly is no more than 2 seconds.Secondly,it can transform the materials of the short-term memory into long-term memory quickly,and effectively prevent them from the interference of proactive and retroactive inhibition,so it is useful for keeping memorized information with less loss and remaining for a long period.Thirdly,with the materials in strong sequence,large quantities and the difficulty to memorize,it is an extremely effective method for memorizing them.Fourthly,the keys to improving the memory efficiency are the well-storing skills of memory,storing methods,and memory clues.
基金Supported by the National Natureal Science Foundation of China(No.30701121)
文摘Objective： To investigate the preventive treatment effects of electroacupuncture（EA） on cognitive changes and brain damage in senescence-accelerated mouse prone 8（SAMP8） mice. Methods： The 5-month-old male SAMP8 and age-matched homologous normal aging mice（SAMR1） were adopted in this study. EA stimulation at Baihui（GV 20） and Yintang（EX-HN 3） was performed every other day for 12 weeks, 4 weeks as a course. Morris water maze test and Nissl-stained with cresyl violet were used for cognitive impairments evaluation and brain morphometric analysis. Amyloid-β（Aβ） expression in hippocampus and parietal cortex was detected by immunohistochemistry, and apoptosis was observed by TUNEL staining. Results： After 3 courses of EA preventive treatment, the escape latencies of 8-month-old SAMP8 mice in EA group were significantly shortened than those of un-pretreated SAMP8 mice. Compared with SAMR1 mice, extensive neuronal changes were visualized in the CA1 area of hippocampus in SAMP8 mice, while these pathological changes and attenuate cell loss in hippocampal CA1 area of SAMP8 mice markedly reduced after EA preventive treatment. Furthermore, Aβ expression in hippocampus and parietal cortex of SAMP8 mice decreased significantly after EA treatment, and neuronal apoptosis decreased as well. Conclusion： EA preventive treatment at GV 20 and EX-HN 3 might improve cognitive deficits and neuropathological changes in SAMP8 mice, which might be, at least in part, due to the effects of reducing brain neuronal damage, decreasing neuronal apoptosis and inhibiting Aβ-containing aggregates.
