| Title |
Multiple Mechanisms Switch an Electrically Coupled, Synaptically Inhibited Neuron between Competing Rhythmic Oscillators
|
|---|---|
| Published in |
Neuron, March 2013
|
| DOI | 10.1016/j.neuron.2013.01.016 |
| Pubmed ID | |
| Authors | |
| Abstract |
Rhythmic oscillations are common features of nervous systems. One of the fundamental questions posed by these rhythms is how individual neurons or groups of neurons are recruited into different network oscillations. We modeled competing fast and slow oscillators connected to a hub neuron with electrical and inhibitory synapses. We explore the patterns of coordination shown in the network as a function of the electrical coupling and inhibitory synapse strengths with the help of a novel visualization method that we call the "parameterscape." The hub neuron can be switched between the fast and slow oscillators by multiple network mechanisms, indicating that a given change in network state can be achieved by degenerate cellular mechanisms. These results have importance for interpreting experiments employing optogenetic, genetic, and pharmacological manipulations to understand circuit dynamics. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| Ireland | 1 | 17% |
| Russia | 1 | 17% |
| Switzerland | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 7 | 3% |
| Germany | 5 | 2% |
| Iran, Islamic Republic of | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 250 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 28% |
| Researcher | 72 | 26% |
| Student > Master | 19 | 7% |
| Professor | 18 | 7% |
| Student > Bachelor | 17 | 6% |
| Other | 41 | 15% |
| Unknown | 30 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 35% |
| Neuroscience | 73 | 27% |
| Physics and Astronomy | 13 | 5% |
| Psychology | 12 | 4% |
| Medicine and Dentistry | 11 | 4% |
| Other | 31 | 11% |
| Unknown | 39 | 14% |