Firing rate of the leaky integrate-and-fire neuron with stochastic conductance-based synaptic inputs with short decay times
| dc.contributor.author | Oleskiw, Timothy D | |
| dc.contributor.author | Bair, Wyeth | |
| dc.contributor.author | Shea-Brown, Eric | |
| dc.contributor.author | Brunel, Nicolas | |
| dc.date.accessioned | 2020-04-01T13:24:33Z | |
| dc.date.available | 2020-04-01T13:24:33Z | |
| dc.date.updated | 2020-04-01T13:24:32Z | |
| dc.description.abstract | We compute the firing rate of a leaky integrate-and-fire (LIF) neuron with stochastic conductance-based inputs in the limit when synaptic decay times are much shorter than the membrane time constant. A comparison of our analytical results to numeric simulations is presented for a range of biophysically-realistic parameters. | |
| dc.identifier.uri | ||
| dc.subject | q-bio.NC | |
| dc.subject | q-bio.NC | |
| dc.title | Firing rate of the leaky integrate-and-fire neuron with stochastic conductance-based synaptic inputs with short decay times | |
| dc.type | Journal article | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | Physics | |
| pubs.organisational-group | Neurobiology | |
| pubs.organisational-group | Duke Institute for Brain Sciences | |
| pubs.organisational-group | Center for Cognitive Neuroscience | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.organisational-group | Basic Science Departments | |
| pubs.organisational-group | University Institutes and Centers | |
| pubs.organisational-group | Institutes and Provost's Academic Units |