Work

Author response: Inferring synaptic inputs from spikes with a conductance-based neural encoding model

Year: 2019

Type: peer-review

Abstract: The conductance-based encoding model creates a new bridge between statistical models and biophysical models of neurons, and infers visually-evoked excitatory and inhibitory synaptic conductances from spike trains in macaque retina.

DOI: 10.7554/elife.47012.sa2

Authors: Kenneth W Latimer, Fred Rieke, Jonathan W Pillow

Institutions: University of Washington, Princeton University

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W3003389672

Cites:

Cited by: 1

Related to: 10