We study the stochastic resonance （SR） in Hodgkin-Huxley （HH） neural systems with small-world （SW） connections under the noise synaptic current and periodic stimulus, focusing on the dependence of properties of ...We study the stochastic resonance （SR） in Hodgkin-Huxley （HH） neural systems with small-world （SW） connections under the noise synaptic current and periodic stimulus, focusing on the dependence of properties of SR on coupling strength c. It is found that there exists a critical coupling strength c^＊ such that if c 〈 c^＊, then the SR can appear on the SW neural network. Especially, dependence of the critical coupling strength c^＊ on the number of neurons N shows the monotonic even almost linear increase of c^＊ as N increases and c^＊ on the SW network is smaller than that on the random network. For the effect of the SW network on the phenomenon of SR, we show that decreasing the connection-rewiring probability p of the network topology leads to an enhancement of SR. This indicates that the SR on the SW network is more prominent than that on the random network （p = 1.0）. In addition, it is noted that the effect becomes remarkable as coupling strength increases. Moreover, it is found that the SR weakens but resonance range becomes wider with the increase of c on the SW neural network.展开更多
This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model,...This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model, the dynamical characteristics of neural networks are studied in three coupling cases, namely, series and parallel coupling, series coupling, and unilateral coupling. The results show that the indentified structure of neural networks enables the basic characteristics of neural information processing to be described in terms of the actions of both the optional motor and the reflected motor. The excitation of local neural networks is caused by the action of the optional motor. In particular, the excitation of the neural population caused by the action of the optional motor in the motor cortex is larger than that caused by the action of the reflected motor. This phenomenon indicates that there are more neurons participating in the neural information processing and the excited synchronization motion under the action of the optional motor.展开更多
The phenomenon of activity synchronization in biological neural network is considered. Simulation of neurons dynamics in the 6-layer neural network with 110 elements in different regimes： regular spikes, chaotic spik...The phenomenon of activity synchronization in biological neural network is considered. Simulation of neurons dynamics in the 6-layer neural network with 110 elements in different regimes： regular spikes, chaotic spikes, regular and chaotic bursting, etc was performed. Izhykevich＇s phenomenological model that displays different types of activity inherent for real biological neurons was used for simulation. Space-time diagram for the entire network and raster plots for the whole structure and for each layer separately were built for visual inspection of neural network activity synchronization. Synchronization coefficients based on cross-correlation times of action potentials for all neurons pairs were calculated for the whole neural system and for each layer separately.展开更多
This paper aims at exploring computational properties of dynamic processes in neu-ral systems,studying their mathematical formulation,and applying the results to artificial neuralnetwork modeling.The stimulus-response...This paper aims at exploring computational properties of dynamic processes in neu-ral systems,studying their mathematical formulation,and applying the results to artificial neuralnetwork modeling.The stimulus-response processes in neurons are first introduced briefly,thenproperties of neurons described by the Hodgkin-Huxley equations are analyzed.After studyinghow to simplify,the Hodgkin-Huxley equations while maintaining its properties,the concept of dy-namic neuron model is proposed.It is pointed out that the neuron model should include internalstates in order to obtain time-variant thresholds,such as refractory periods of neurons.Finallywe discuss problems related to neural network models based on pulse-stream communication andthe contribution of intraneuronal dynamics to collective properties of the neural network.展开更多
Background Alzheimer’s disease(AD)is a progressive multifaceted neurodegenerative disorder for which no disease-modifying treatment exists.Neuroinflammation is central to the pathology progression,with evidence sugge...Background Alzheimer’s disease(AD)is a progressive multifaceted neurodegenerative disorder for which no disease-modifying treatment exists.Neuroinflammation is central to the pathology progression,with evidence suggesting that microglia-released galectin-3(gal3)plays a pivotal role by amplifying neuroinflammation in AD.However,the possible involvement of gal3 in the disruption of neuronal network oscillations typical of AD remains unknown.Methods Here,we investigated the functional implications of gal3 signaling on experimentally induced gamma oscillations ex vivo(20-80 Hz)by performing electrophysiological recordings in the hippocampal CA3 area of wild-type(WT)mice and of the 5×FAD mouse model of AD.In addition,the recorded slices from WT mice under acute gal3 application were analyzed with RT-qPCR to detect expression of some neuroinflammation-related genes,and amyloid-β(Aβ)plaque load was quantified by immunostaining in the CA3 area of 6-month-old 5×FAD mice with or without Gal3 knockout(KO).Results Gal3 application decreased gamma oscillation power and rhythmicity in an activity-dependent manner,which was accompanied by impairment of cellular dynamics in fast-spiking interneurons(FSNs)and pyramidal cells.We found that the gal3-induced disruption was mediated by the gal3 carbohydrate-recognition domain and prevented by the gal3 inhibitor TD139,which also prevented Aβ42-induced degradation of gamma oscillations.Further-more,the 5×FAD mice lacking gal3(5×FAD-Gal3KO)exhibited WT-like gamma network dynamics and decreased Aβplaque load.Conclusions We report for the first time that gal3 impairs neuronal network dynamics by spike-phase uncoupling of FSNs,inducing a network performance collapse.Moreover,our findings suggest gal3 inhibition as a potential therapeutic strategy to counteract the neuronal network instability typical of AD and other neurological disorders encompassing neuroinflammation and cognitive decline.展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos 70571017 and 10247005, the Innovation Project of Guangxi Graduate Education under Grant No 2006106020809M36, and Key Project of the National Natural Science Foundation of China under Grant No 70431002.
文摘We study the stochastic resonance （SR） in Hodgkin-Huxley （HH） neural systems with small-world （SW） connections under the noise synaptic current and periodic stimulus, focusing on the dependence of properties of SR on coupling strength c. It is found that there exists a critical coupling strength c^＊ such that if c 〈 c^＊, then the SR can appear on the SW neural network. Especially, dependence of the critical coupling strength c^＊ on the number of neurons N shows the monotonic even almost linear increase of c^＊ as N increases and c^＊ on the SW network is smaller than that on the random network. For the effect of the SW network on the phenomenon of SR, we show that decreasing the connection-rewiring probability p of the network topology leads to an enhancement of SR. This indicates that the SR on the SW network is more prominent than that on the random network （p = 1.0）. In addition, it is noted that the effect becomes remarkable as coupling strength increases. Moreover, it is found that the SR weakens but resonance range becomes wider with the increase of c on the SW neural network.
基金supported by the National Natural Science Foundation of China (Nos.10872068,10672057)
文摘This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model, the dynamical characteristics of neural networks are studied in three coupling cases, namely, series and parallel coupling, series coupling, and unilateral coupling. The results show that the indentified structure of neural networks enables the basic characteristics of neural information processing to be described in terms of the actions of both the optional motor and the reflected motor. The excitation of local neural networks is caused by the action of the optional motor. In particular, the excitation of the neural population caused by the action of the optional motor in the motor cortex is larger than that caused by the action of the reflected motor. This phenomenon indicates that there are more neurons participating in the neural information processing and the excited synchronization motion under the action of the optional motor.
文摘The phenomenon of activity synchronization in biological neural network is considered. Simulation of neurons dynamics in the 6-layer neural network with 110 elements in different regimes： regular spikes, chaotic spikes, regular and chaotic bursting, etc was performed. Izhykevich＇s phenomenological model that displays different types of activity inherent for real biological neurons was used for simulation. Space-time diagram for the entire network and raster plots for the whole structure and for each layer separately were built for visual inspection of neural network activity synchronization. Synchronization coefficients based on cross-correlation times of action potentials for all neurons pairs were calculated for the whole neural system and for each layer separately.
文摘This paper aims at exploring computational properties of dynamic processes in neu-ral systems,studying their mathematical formulation,and applying the results to artificial neuralnetwork modeling.The stimulus-response processes in neurons are first introduced briefly,thenproperties of neurons described by the Hodgkin-Huxley equations are analyzed.After studyinghow to simplify,the Hodgkin-Huxley equations while maintaining its properties,the concept of dy-namic neuron model is proposed.It is pointed out that the neuron model should include internalstates in order to obtain time-variant thresholds,such as refractory periods of neurons.Finallywe discuss problems related to neural network models based on pulse-stream communication andthe contribution of intraneuronal dynamics to collective properties of the neural network.
基金funding provided by Karolinska Institute.This work was supported by the Swedish Research Council,the Swedish Brain Foundation,the Swedish Alzheimer Foundation,theÅhlén Foundation(AF),the Berger Foundation(TD),the Olle Engkvist Foundation(TD),G&K Kock Foundation(TD),the Strategic Research Area MultiPark at Lund University(TD),the Foundation for Geriatric Diseases at Karolinska Institutet,theÅhlén Foundation(YAT),Consejo Nacional de Ciencia y Tecnología(CONACYT)postdoctoral fellowships and StratNeuro program at Karolinska Institutet(LEAG),Lindhés Advokabyra AB Grant and Stohnes Stiftelse(LEAG,YAT)the Spanish Ministerio de Ciencia e Innovación(MICIN/AEI/FEDER:PID2019-107677 GB-I00,ARM).
文摘Background Alzheimer’s disease(AD)is a progressive multifaceted neurodegenerative disorder for which no disease-modifying treatment exists.Neuroinflammation is central to the pathology progression,with evidence suggesting that microglia-released galectin-3(gal3)plays a pivotal role by amplifying neuroinflammation in AD.However,the possible involvement of gal3 in the disruption of neuronal network oscillations typical of AD remains unknown.Methods Here,we investigated the functional implications of gal3 signaling on experimentally induced gamma oscillations ex vivo(20-80 Hz)by performing electrophysiological recordings in the hippocampal CA3 area of wild-type(WT)mice and of the 5×FAD mouse model of AD.In addition,the recorded slices from WT mice under acute gal3 application were analyzed with RT-qPCR to detect expression of some neuroinflammation-related genes,and amyloid-β(Aβ)plaque load was quantified by immunostaining in the CA3 area of 6-month-old 5×FAD mice with or without Gal3 knockout(KO).Results Gal3 application decreased gamma oscillation power and rhythmicity in an activity-dependent manner,which was accompanied by impairment of cellular dynamics in fast-spiking interneurons(FSNs)and pyramidal cells.We found that the gal3-induced disruption was mediated by the gal3 carbohydrate-recognition domain and prevented by the gal3 inhibitor TD139,which also prevented Aβ42-induced degradation of gamma oscillations.Further-more,the 5×FAD mice lacking gal3(5×FAD-Gal3KO)exhibited WT-like gamma network dynamics and decreased Aβplaque load.Conclusions We report for the first time that gal3 impairs neuronal network dynamics by spike-phase uncoupling of FSNs,inducing a network performance collapse.Moreover,our findings suggest gal3 inhibition as a potential therapeutic strategy to counteract the neuronal network instability typical of AD and other neurological disorders encompassing neuroinflammation and cognitive decline.
