The human brain is a fascinatingly complex organ with specialized structures associated with distinct functions. Classical and recent studies on brain localization propose that Broca’s area underpin expressive langua...The human brain is a fascinatingly complex organ with specialized structures associated with distinct functions. Classical and recent studies on brain localization propose that Broca’s area underpin expressive language and this has been generalized to explain brain functional organization. However, recent neuroimaging studies have shown that the Broca’s area is an extended network that not only participate in its primary function-expressive language processing but in secondary functions-processing non-linguistic/nonverbal tasks as well. Also, there is hierarchical connectivity and interaction of Broca’s region and different brain areas in underlying related primary functions. For this review, I start with revisiting the classical description of brain localization. I then discuss the neuroanatomy of language production and the role of Broca’s region in language processing. I then highlight the participation of the Broca’s area in non-linguistic tasks and non-primary linguistic tasks. Ultimately, I propose a novel hypothesis called integrated systems hypothesis. The integrated systems hypothesis is useful for guiding research on the multimodal role of specific localized integrated systems of the brain especially the role of the Broca’s region in integrating linguistic and non-linguistic processing and how this facilitate language production.展开更多
持续的周期性小扰动会引发电力系统强迫振荡,通过切除扰动原则可以使振荡迅速衰减。为了能够找到扰动源的具体位置,使振荡快速平息,对共振稳态时线性化系统能量转换特性进行了分析,结合实际电网扰动源自动定位存在的一些问题,对能量函...持续的周期性小扰动会引发电力系统强迫振荡,通过切除扰动原则可以使振荡迅速衰减。为了能够找到扰动源的具体位置,使振荡快速平息,对共振稳态时线性化系统能量转换特性进行了分析,结合实际电网扰动源自动定位存在的一些问题,对能量函数法进行了改进,提出了利用耗散功率进行扰动源识别的新方法。基于该方法,对4机2区系统、某实际大电网仿真模型以及广域测量系统(wide area measure system,WAMS)实测数据进行了仿真分析,结果表明利用耗散功率能够快速准确地确定强迫功率振荡扰动源的位置,说明了利用耗散功率进行扰动源识别方法的可行性以及对实际电网的适用性。展开更多
文摘The human brain is a fascinatingly complex organ with specialized structures associated with distinct functions. Classical and recent studies on brain localization propose that Broca’s area underpin expressive language and this has been generalized to explain brain functional organization. However, recent neuroimaging studies have shown that the Broca’s area is an extended network that not only participate in its primary function-expressive language processing but in secondary functions-processing non-linguistic/nonverbal tasks as well. Also, there is hierarchical connectivity and interaction of Broca’s region and different brain areas in underlying related primary functions. For this review, I start with revisiting the classical description of brain localization. I then discuss the neuroanatomy of language production and the role of Broca’s region in language processing. I then highlight the participation of the Broca’s area in non-linguistic tasks and non-primary linguistic tasks. Ultimately, I propose a novel hypothesis called integrated systems hypothesis. The integrated systems hypothesis is useful for guiding research on the multimodal role of specific localized integrated systems of the brain especially the role of the Broca’s region in integrating linguistic and non-linguistic processing and how this facilitate language production.
文摘持续的周期性小扰动会引发电力系统强迫振荡,通过切除扰动原则可以使振荡迅速衰减。为了能够找到扰动源的具体位置,使振荡快速平息,对共振稳态时线性化系统能量转换特性进行了分析,结合实际电网扰动源自动定位存在的一些问题,对能量函数法进行了改进,提出了利用耗散功率进行扰动源识别的新方法。基于该方法,对4机2区系统、某实际大电网仿真模型以及广域测量系统(wide area measure system,WAMS)实测数据进行了仿真分析,结果表明利用耗散功率能够快速准确地确定强迫功率振荡扰动源的位置,说明了利用耗散功率进行扰动源识别方法的可行性以及对实际电网的适用性。
