Different areas of cognitive science traditionally perceived the mind as an abstract information processing entity, whose interactions with the outside world should be of small or no relevance at all. However, a recen...Different areas of cognitive science traditionally perceived the mind as an abstract information processing entity, whose interactions with the outside world should be of small or no relevance at all. However, a recent embodied cognition perspective, view cognitive processes as deeply embedded into the body＇s interactions with the world. In support of such contention, lots of empirical evidence has been brought and thusly different claims proposed. In this paper, we present the computer based neurocognitive task of sustained attention which is a dual task with many characteristics that obviously mirror some of the above claims. In this regard, we take into consideration both on-line and off-line aspects of the embodied cognition and point out how processing efficiency and attentional functioning are crucial vehicles in bringing perception into effective action （embodied cognition）. Furthermore, there is plenty of evidence about the bidirectional relationship between the attentional/cognitive functioning and emotion regulation as well. This rises new possibilities in looking at the cognitive bias modification approaches and brain-cognitive training procedures for human beings without perceiving them as disembodied minds or complex machines but instead proactive and physically involved in the real world. We argue that such cognitive training approaches even though at first glance seemed as mere technical and machine oriented procedures, should be regarded as humanistic in its nature which perfectly mirror the Merleau-Ponty＇s concept of ＂embodied subjectivity.＂ Finally, we explain how such approaches can be successfully combined with the neurobiological accounts and effectively implemented into clinical practice （self-regulation, self-directed neuroplasticity, effortful control, behavior change）.展开更多
A new control law is proposed to asymptotically stabilize the chaotic neuron system based on LaSalleinvariant principle.The control technique does not require analytical knowledge of the system dynamics and operateswi...A new control law is proposed to asymptotically stabilize the chaotic neuron system based on LaSalleinvariant principle.The control technique does not require analytical knowledge of the system dynamics and operateswithout an explicit knowledge of the desired steady-state position.The well-known modified Hodgkin-Huxley (MHH)and Hindmarsh-Rose (HR) model neurons are taken as examples to verify the implementation of our method.Simulationresults show the proposed control law is effective.The outcome of this study is significant since it is helpful to understandthe learning process of a human brain towards the information processing,memory and abnormal discharge of the brainneurons.展开更多
The focus of this study is to explore the mechanisms during seizure behavior using a physiologically motivated by corticothalamic circuity. The model is based on the assumption that, the inhibitory projects from thala...The focus of this study is to explore the mechanisms during seizure behavior using a physiologically motivated by corticothalamic circuity. The model is based on the assumption that, the inhibitory projects from thalamus reticular nucleus(TRN) to specific relay nuclei(SRN) are mediated by GABAA and GABAB receptors which react different time scales in synaptic transmission.Secondly, we include the effects of slow modulation on the threshold current of TRN population that were found to generate bursting behavior. Our model can reproduce healthy and pathological dynamics including wake, spindle, deep sleep, and also seizure states. In addition, contour maps are used to explore the transition of different activity states. It is worthy to point out seizure duration is significantly affected by a time-varying delay as illustrated in our numerical simulation. Finally, a reduced model ignoring the cerebral cortex mass can also capture the feature of spike wave discharge as generated in the full network.展开更多
文摘Different areas of cognitive science traditionally perceived the mind as an abstract information processing entity, whose interactions with the outside world should be of small or no relevance at all. However, a recent embodied cognition perspective, view cognitive processes as deeply embedded into the body＇s interactions with the world. In support of such contention, lots of empirical evidence has been brought and thusly different claims proposed. In this paper, we present the computer based neurocognitive task of sustained attention which is a dual task with many characteristics that obviously mirror some of the above claims. In this regard, we take into consideration both on-line and off-line aspects of the embodied cognition and point out how processing efficiency and attentional functioning are crucial vehicles in bringing perception into effective action （embodied cognition）. Furthermore, there is plenty of evidence about the bidirectional relationship between the attentional/cognitive functioning and emotion regulation as well. This rises new possibilities in looking at the cognitive bias modification approaches and brain-cognitive training procedures for human beings without perceiving them as disembodied minds or complex machines but instead proactive and physically involved in the real world. We argue that such cognitive training approaches even though at first glance seemed as mere technical and machine oriented procedures, should be regarded as humanistic in its nature which perfectly mirror the Merleau-Ponty＇s concept of ＂embodied subjectivity.＂ Finally, we explain how such approaches can be successfully combined with the neurobiological accounts and effectively implemented into clinical practice （self-regulation, self-directed neuroplasticity, effortful control, behavior change）.
基金Supported by the National Natural Science Foundation of China under Grant Nos. 10862001 and 10947011the Construction of Key Laboratories in Universities of Guangxi under Grant No. 200912
文摘A new control law is proposed to asymptotically stabilize the chaotic neuron system based on LaSalleinvariant principle.The control technique does not require analytical knowledge of the system dynamics and operateswithout an explicit knowledge of the desired steady-state position.The well-known modified Hodgkin-Huxley (MHH)and Hindmarsh-Rose (HR) model neurons are taken as examples to verify the implementation of our method.Simulationresults show the proposed control law is effective.The outcome of this study is significant since it is helpful to understandthe learning process of a human brain towards the information processing,memory and abnormal discharge of the brainneurons.
基金supported by the Foundational Research Funds for the Central Universities(Grant Nos.G2016KY0301)the National Natural Science Foundation of China(Grant Nos.11602192&11672074)
文摘The focus of this study is to explore the mechanisms during seizure behavior using a physiologically motivated by corticothalamic circuity. The model is based on the assumption that, the inhibitory projects from thalamus reticular nucleus(TRN) to specific relay nuclei(SRN) are mediated by GABAA and GABAB receptors which react different time scales in synaptic transmission.Secondly, we include the effects of slow modulation on the threshold current of TRN population that were found to generate bursting behavior. Our model can reproduce healthy and pathological dynamics including wake, spindle, deep sleep, and also seizure states. In addition, contour maps are used to explore the transition of different activity states. It is worthy to point out seizure duration is significantly affected by a time-varying delay as illustrated in our numerical simulation. Finally, a reduced model ignoring the cerebral cortex mass can also capture the feature of spike wave discharge as generated in the full network.
