The collective dynamics of a randomly connected neuronal network motivated by the anatomy of a mammalian cortex based on a simple model are studied.This simple model can not only reproduce the rich behaviors of biolog...The collective dynamics of a randomly connected neuronal network motivated by the anatomy of a mammalian cortex based on a simple model are studied.This simple model can not only reproduce the rich behaviors of biological neurons but also has only two equations and one nonlinear term.By varying some key parameters,such as the connection weights of neurons,the external current injection and the noise of intensity,this neuronal network will exhibit various collective behaviors.It is demonstrated that the synchronization status of the neuronal network has a strong relationship with the key parameters and the external current has more influence on the spiking of inhibitory neurons than that of excitatory neurons.These results may be instructive in understanding the collective dynamics of a mammalian cortex.展开更多
A neurodynamical model for selective visual attention considering orientation preference is proposed.Since orientation preference is one of the most important properties of neurons in the primary visual cortex,it shou...A neurodynamical model for selective visual attention considering orientation preference is proposed.Since orientation preference is one of the most important properties of neurons in the primary visual cortex,it should be fully considered besides external stimuli intensity.By tuning the parameter of orientation preference,the regimes of synchronous dynamics associated with the development of the attention focus are studied.The attention focus is represented by those peripheral neurons that generate spikes synchronously with the central neuron while the activity of other peripheral neurons is suppressed.Such dynamics correspond to the partial synchronization mode.Simulation results show that the model can sequentially select objects with different orientation preferences and has a reliable shift of attention from one object to another,which are consistent with the experimental results that neurons with different orientation preferences are laid out in pinwheel patterns.展开更多
基金Supported by Science and Technology Support Plan Topics(2011BAH24B12)Start-up Fund of Civil Aviation University and Fundamental Research Funds for the Central Universities(ZXH2012C004,ZXH2011C006).
文摘The collective dynamics of a randomly connected neuronal network motivated by the anatomy of a mammalian cortex based on a simple model are studied.This simple model can not only reproduce the rich behaviors of biological neurons but also has only two equations and one nonlinear term.By varying some key parameters,such as the connection weights of neurons,the external current injection and the noise of intensity,this neuronal network will exhibit various collective behaviors.It is demonstrated that the synchronization status of the neuronal network has a strong relationship with the key parameters and the external current has more influence on the spiking of inhibitory neurons than that of excitatory neurons.These results may be instructive in understanding the collective dynamics of a mammalian cortex.
基金Supported by the Fundamental Research Funds for the Central Universitiesthe National Natural Science Foundation of China under Grant Nos.10872068 and 11002055.
文摘A neurodynamical model for selective visual attention considering orientation preference is proposed.Since orientation preference is one of the most important properties of neurons in the primary visual cortex,it should be fully considered besides external stimuli intensity.By tuning the parameter of orientation preference,the regimes of synchronous dynamics associated with the development of the attention focus are studied.The attention focus is represented by those peripheral neurons that generate spikes synchronously with the central neuron while the activity of other peripheral neurons is suppressed.Such dynamics correspond to the partial synchronization mode.Simulation results show that the model can sequentially select objects with different orientation preferences and has a reliable shift of attention from one object to another,which are consistent with the experimental results that neurons with different orientation preferences are laid out in pinwheel patterns.
