mei_target=MEIS.generate(target,track=False)#track=True to plot neuron activation values and corresponding generated images through the gradient ascent algorithm
```
%%%% Output: stream
Working on neuron_id=0
Working with images with mu=127.67724537037037, sigma=55.45213271323961
print('The \"{}\" set of dataset \"{}\" contains the responses of {} RGC neurons to {} images'.format(tier, dataset_name, responses.shape[1], responses.shape[0]))
```
%%%% Output: stream
The "train" set of dataset "20210629_train" contains the responses of 3 RGC neurons to 1490 images
%% Cell type:code id: tags:
``` python
#Show some example images and the neural responses