Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity.
Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity.
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DOI:
10.1371/journal.pcbi.1004702
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发表时间:
2016-01
影响因子:
4.3
通讯作者:
Roberts A
中科院分区:
文献类型:
--
作者:
Hull MJ;Soffe SR;Willshaw DJ;Roberts A
What cellular and network properties allow reliable neuronal rhythm generation or firing that can be started and stopped by brief synaptic inputs? We investigate rhythmic activity in an electrically-coupled population of brainstem neurons driving swimming locomotion in young frog tadpoles, and how activity is switched on and off by brief sensory stimulation. We build a computational model of 30 electrically-coupled conditional pacemaker neurons on one side of the tadpole hindbrain and spinal cord. Based on experimental estimates for neuron properties, population sizes, synapse strengths and connections, we show that: long-lasting, mutual, glutamatergic excitation between the neurons allows the network to sustain rhythmic pacemaker firing at swimming frequencies following brief synaptic excitation; activity persists but rhythm breaks down without electrical coupling; NMDA voltage-dependency doubles the range of synaptic feedback strengths generating sustained rhythm. The network can be switched on and off at short latency by brief synaptic excitation and inhibition. We demonstrate that a population of generic Hodgkin-Huxley type neurons coupled by glutamatergic excitatory feedback can generate sustained asynchronous firing switched on and off synaptically. We conclude that networks of neurons with NMDAR mediated feedback excitation can generate self-sustained activity following brief synaptic excitation. The frequency of activity is limited by the kinetics of the neuron membrane channels and can be stopped by brief inhibitory input. Network activity can be rhythmic at lower frequencies if the neurons are electrically coupled. Our key finding is that excitatory synaptic feedback within a population of neurons can produce switchable, stable, sustained firing without synaptic inhibition. Rhythmic actions like chewing, scratching and walking need to be switched on and off. Once started, rhythms are generated by networks of neurons in the brain and spinal cord which drive muscles. We use computer models of the swimming network in young frog tadpoles to ask how electrically-coupled brainstem neurons with feedback excitation generate rhythmic activity and how this can be switched on and off by sensory stimuli. Young tadpoles swim for several seconds when touched and stop when they contact a solid object. Swimming rhythms can be generated by minimal populations of ~30 reticulospinal neurons on each side of the brainstem. The sensory pathways providing excitatory start and inhibitory stop signals are known. In our model network, based closely on biological evidence, brief synaptic excitation can activate a stable swimming rhythm sustained by mutual excitation among the reticulospinal neurons; swimming can be stopped by brief inhibition. Model networks of more generic neurons with mutual excitation can produce switchable, sustained non-rhythmic firing. We conclude that mutual excitation, providing positive feedback, can enable stable rhythmic or non-rhythmic firing in small neuron populations that can be rapidly turned on and off by sensory inputs.