Abstract A brain network consisting of two key parietal nodes, the precuneus and the posterior cingulate cortex, has emerged from recent fMRI studies. Though it is anatomically adjacent to and spatially overlaps with ...Abstract A brain network consisting of two key parietal nodes, the precuneus and the posterior cingulate cortex, has emerged from recent fMRI studies. Though it is anatomically adjacent to and spatially overlaps with the default mode network （DMN）, its function has been associated with memory processing, and it has been referred to as the parietal memory network （PMN）. Independent component analysis （ICA） is the most common data-driven method used to extract PMN and DMN simultaneously. However, the effects of data preprocessing and parameter determi- nation in ICA on PMN-DMN segregation are completely unknown. Here, we employ three typical algorithms of group ICA to assess how spatial smoothing and model order influence the degree of PMN-DMN segregation. Our findings indicate that PMN and DMN can only be stably separated using a combination of low-level spatial smoothing and high model order across the three ICA algorithms. We thus argue for more considerations on parametric settings for interpreting DMN data.展开更多
In this essay,our goal is to discover science in Martin Heidegger’s Introduction to Metaphysics,lecture notes for his 1935 summer semester course,because,after all,his subject is metaphysica generalis,or ontology,and...In this essay,our goal is to discover science in Martin Heidegger’s Introduction to Metaphysics,lecture notes for his 1935 summer semester course,because,after all,his subject is metaphysica generalis,or ontology,and this could be construed as a theory of the human brain.Here,by means of verbatim quotes from his text,we attempt to show that indeed these lectures can be viewed as suggestion for an objective scientific theory of human perception,the human capacity for deciphering phenomena,i.e.hermeneutics in its broadest sense.His added notes from the 1953 edition,all of which are comments,not corrections,imply that he never abandoned these thoughts on metaphysics,despite all of his utterances about a need to overcome it,and their popular interpretations to that effect.In his presentation,he further develops the colorful and intuitive style,an hermeneutic language,that he had created in his earlier work Being and Time.The logical functions of Dasein’s anatomical brain are performed by the logos machine,formerly the human soul,using top-down processing based on a global context,the noumenal cosmos which humans maintain internally.Heidegger’s 1942/43 winter semester lectures Parmenides extend in unbroken fashion his 1935 work,proving that he never abandoned,as is widely claimed,his metaphysical avenue of thought.展开更多
基金supported by the National Basic Research(973)Program(2015CB351702)the National Natural Science Foundation of China(81571756,81270023,81278412,81171409,81000583,81471740,81220108014)+2 种基金Beijing Nova Program(XXJH2015B079 to Z.Y.)the Outstanding Young Investigator Award of Institute of Psychology,Chinese Academy of Sciences(to Z.Y.)the Key Research Program and the Hundred Talents Program of the Chinese Academy of Sciences(KSZD-EW-TZ-002 to X.N.Z)
文摘Abstract A brain network consisting of two key parietal nodes, the precuneus and the posterior cingulate cortex, has emerged from recent fMRI studies. Though it is anatomically adjacent to and spatially overlaps with the default mode network （DMN）, its function has been associated with memory processing, and it has been referred to as the parietal memory network （PMN）. Independent component analysis （ICA） is the most common data-driven method used to extract PMN and DMN simultaneously. However, the effects of data preprocessing and parameter determi- nation in ICA on PMN-DMN segregation are completely unknown. Here, we employ three typical algorithms of group ICA to assess how spatial smoothing and model order influence the degree of PMN-DMN segregation. Our findings indicate that PMN and DMN can only be stably separated using a combination of low-level spatial smoothing and high model order across the three ICA algorithms. We thus argue for more considerations on parametric settings for interpreting DMN data.
文摘In this essay,our goal is to discover science in Martin Heidegger’s Introduction to Metaphysics,lecture notes for his 1935 summer semester course,because,after all,his subject is metaphysica generalis,or ontology,and this could be construed as a theory of the human brain.Here,by means of verbatim quotes from his text,we attempt to show that indeed these lectures can be viewed as suggestion for an objective scientific theory of human perception,the human capacity for deciphering phenomena,i.e.hermeneutics in its broadest sense.His added notes from the 1953 edition,all of which are comments,not corrections,imply that he never abandoned these thoughts on metaphysics,despite all of his utterances about a need to overcome it,and their popular interpretations to that effect.In his presentation,he further develops the colorful and intuitive style,an hermeneutic language,that he had created in his earlier work Being and Time.The logical functions of Dasein’s anatomical brain are performed by the logos machine,formerly the human soul,using top-down processing based on a global context,the noumenal cosmos which humans maintain internally.Heidegger’s 1942/43 winter semester lectures Parmenides extend in unbroken fashion his 1935 work,proving that he never abandoned,as is widely claimed,his metaphysical avenue of thought.
