dorsal/arxiv
View SchemaSubthreshold dynamics of the neural membrane potential driven by stochastic synaptic input
| Authors | Ulrich Hillenbrand |
|---|---|
| Categories | |
| ArXiv ID | physics/0209093 |
| URL | https://arxiv.org/abs/physics/0209093 |
| DOI | 10.1103/PhysRevE.66.021909 |
| Journal | Physical Review E 66, 021909 (2002) |
Abstract
In the cerebral cortex, neurons are subject to a continuous bombardment of synaptic inputs originating from the network's background activity. This leads to ongoing, mostly subthreshold membrane dynamics that depends on the statistics of the background activity and of the synapses made on a neuron. Subthreshold membrane polarization is, in turn, a potent modulator of neural responses. The present paper analyzes the subthreshold dynamics of the neural membrane potential driven by synaptic inputs of stationary statistics. Synaptic inputs are considered in linear interaction. The analysis identifies regimes of input statistics which give rise to stationary, fluctuating, oscillatory, and unstable dynamics. In particular, I show that (i) mere noise inputs can drive the membrane potential into sustained, quasiperiodic oscillations (noise-driven oscillations), in the absence of a stimulus-derived, intraneural, or network pacemaker; (ii) adding hyperpolarizing to depolarizing synaptic input can increase neural activity (hyperpolarization-induced activity), in the absence of hyperpolarization-activated currents.
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"abstract": "In the cerebral cortex, neurons are subject to a continuous bombardment of\nsynaptic inputs originating from the network\u0027s background activity. This leads\nto ongoing, mostly subthreshold membrane dynamics that depends on the\nstatistics of the background activity and of the synapses made on a neuron.\nSubthreshold membrane polarization is, in turn, a potent modulator of neural\nresponses. The present paper analyzes the subthreshold dynamics of the neural\nmembrane potential driven by synaptic inputs of stationary statistics. Synaptic\ninputs are considered in linear interaction. The analysis identifies regimes of\ninput statistics which give rise to stationary, fluctuating, oscillatory, and\nunstable dynamics. In particular, I show that (i) mere noise inputs can drive\nthe membrane potential into sustained, quasiperiodic oscillations (noise-driven\noscillations), in the absence of a stimulus-derived, intraneural, or network\npacemaker; (ii) adding hyperpolarizing to depolarizing synaptic input can\nincrease neural activity (hyperpolarization-induced activity), in the absence\nof hyperpolarization-activated currents.",
"arxiv_id": "physics/0209093",
"authors": [
"Ulrich Hillenbrand"
],
"categories": [
"physics.bio-ph",
"cond-mat.dis-nn",
"q-bio.NC"
],
"doi": "10.1103/PhysRevE.66.021909",
"journal_ref": "Physical Review E 66, 021909 (2002)",
"title": "Subthreshold dynamics of the neural membrane potential driven by stochastic synaptic input",
"url": "https://arxiv.org/abs/physics/0209093"
},
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