<p><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0020674" rel="nofollow">This article by Bobrov et. al</a> seems to be similar to what you are looking for. They were able to classify (at above chance performance) whether subjects were imagining houses or faces. The training protocol is particularly interesting: they started by showing subjects pictures, but then used a feedback process of showing the subjects the output of the classifier while they were imagining the images to try and improve the subjects' 'imagination' of the images. </p>

CC BY-SA 3.0
2014-12-02T02:57:17.973Z
2014-12-02T02:57:17.973Z
Josh
<p>Currently I am involved in constructing an EEG-Based BCI. </p>

<p>The goal of the BCI is to control which light in a series of lightbulbs lights up. The plan is to use different images (i.e. a flower versus a tiger) to elicit different neuron response that will show up on the EEG. The light bulb will light up in any order these images are given (tiger -> flower -> mountain -> sky -> white noise -> bright red...etc.)</p>

<p>Does anyone know if there has ever been a successful realization of such system? Please provide me with a link to it.</p>

<neuroscience><reference-request><methodology><eeg>
Is there a report of a successfully EEG-Based Brain-Computer Interface (BCI) using image training?
Fraïssé
# Is there a report of a successfully EEG-Based Brain-Computer Interface (BCI) using image training?

(Asked by: username_0 on 2014-11-15)

Currently I am involved in constructing an EEG-Based BCI.

The goal of the BCI is to control which light in a series of lightbulbs lights up. The plan is to use different images (i.e. a flower versus a tiger) to elicit different neuron response that will show up on the EEG. The light bulb will light up in any order these images are given (tiger -> flower -> mountain -> sky -> white noise -> bright red...etc.)

Does anyone know if there has ever been a successful realization of such system? Please provide me with a link to it.

**Tags:** neuroscience, reference-request, methodology, eeg


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## 1 answers

### Answer by username_1 on 2014-12-02. Score: 4 | Accepted answer

[This article by Bobrov et. al](http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0020674) seems to be similar to what you are looking for. They were able to classify (at above chance performance) whether subjects were imagining houses or faces. The training protocol is particularly interesting: they started by showing subjects pictures, but then used a feedback process of showing the subjects the output of the classifier while they were imagining the images to try and improve the subjects' 'imagination' of the images.


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