International Journal of Neural Systems · 2014 · 71 citations · 48 references
Life SciencesNeuroscienceComputational NeuroscienceNeurobiophysicsNeurophysiologyBiophysical Neuron ModelingBrain Energy MetabolismComputational NeurobiophysicsNeural System ModelingNeuronal DynamicsNeuronal MetabolismBlood FlowEmergenceEnergy ConsumptionExcitationIncremental ResponseNegative Energy StatesNeuron DynamicsResponse Time
By re-examining the neuronal activity energy model, we show the inadequacies in the current understanding of the energy consumption associated with neuron activity. Specifically, we show computationally that a neuron first absorbs and then consumes energy during firing action potential, and this result cannot be produced from any current neuron models or biological neural networks. Based on this finding, we provide an explanation for the observation that when neurons are excited in the brain, blood flow increases significantly while the incremental oxygen consumption is very small. We can also explain why external stimulation and perception emergence are synchronized. We also show that negative energy presence in neurons at the sub-threshold state is an essential reason that leads to blood flow incremental response time in the brain rather than neural excitation to delay.
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