Work

Author response: Interrogating theoretical models of neural computation with emergent property inference

Year: 2021

Type: peer-review

Abstract: Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.

Source: eLife

DOI: 10.7554/elife.56265.sa2

Authors: Sean R Bittner, Agostina Palmigiano, Alex T Piet, Chunyu A Duan, Carlos D Brody, Kenneth D Miller, John Cunningham

Institutions: Columbia University, Allen Institute for Brain Science, Princeton University, Chinese Academy of Sciences, Howard Hughes Medical Institute

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,500

OpenAlex ID: W4246738171

Cites:

Cited by: 1

Related to: 10