Back to search

Article

Evolving super stimuli for real neurons using deep generative networks

2019-01-17

Abstract excerpt

<h4>Finding: </h4> the best stimulus for a neuron is challenging because it is impossible to test all possible stimuli. Here we used a vast, unbiased, and diverse hypothesis space encoded by a generative deep neural network model to investigate neuronal selectivity in inferotemporal cortex without making any assumptions about natural features or categories. A genetic algorithm, guided by neuronal responses, search...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
609447e9-9757-5090-9ca1-56115c3e03b4
DOI
10.1101/516484
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evolving super stimuli for real neurons using deep generative networksDOI 10.1101/516484
Select a neighboring publication to make it the new centre.