Channel current fluctuations conclusively explain neuronal encoding of internal potential into spike trains
Martin Nilsson, Henrik Jörntell
Abstract
Hodgkin and Huxley's seminal neuron model describes the propagation of voltage spikes in axons, but it cannot explain certain full-neuron features crucial for understanding the neural code. We consider channel current fluctuations in a trisection of the Hodgkin-Huxley model, allowing an analytic-mechanistic explanation of these features and yielding consistently excellent matches with in vivo recordings of cerebellar Purkinje neurons, which we use as model systems. This shows that the neuronal encoding is described conclusively by a soft-thresholding function having just three parameters.
Topics & Concepts
Spike (software development)Hodgkin–Huxley modelNeuroscienceComputer scienceEncoding (memory)PhysicsNeuronThresholdingCurrent (fluid)Biological neuron modelChannel (broadcasting)Artificial intelligenceBiologyTelecommunicationsSoftware engineeringImage (mathematics)ThermodynamicsNeural dynamics and brain functionstochastic dynamics and bifurcationNeuroscience and Neural Engineering