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"""
==============================================
Real-time feedback for decoding :: Client Side
==============================================
This example demonstrates how to setup a real-time feedback
mechanism using StimServer and StimClient.
The idea here is to display future stimuli for the class which
is predicted less accurately. This allows on-demand adaptation
of the stimuli depending on the needs of the classifier.
To run this example, open ipython in two separate terminals.
In the first, run rt_feedback_server.py and then wait for the
message
RtServer: Start
Once that appears, run rt_feedback_client.py in the other terminal
and the feedback script should start.
All brain responses are simulated from a fiff file to make it easy
to test. However, it should be possible to adapt this script
for a real experiment.
"""
# Author: Mainak Jas <mainak@neuro.hut.fi>
#
# License: BSD (3-clause)
from mne.realtime import StimClient
import time
print(__doc__)
# Instantiating stimulation client
# Port number must match port number used to instantiate
# StimServer. Any port number above 1000 should be fine
# because they do not require root permission.
stim_client = StimClient('localhost', port=4218)
ev_list = list() # list of events displayed
# start with right checkerboard stimuli. This is required
# because the ev_list.append(ev_list[-1]) will not work
# if ev_list is empty.
trig = 4
stim_duration = 1.0
# iterating over 50 epochs
for ii in range(50):
if trig is not None:
ev_list.append(trig) # use the last trigger received
else:
ev_list.append(ev_list[-1]) # use the last stimuli
# draw left or right checkerboard according to ev_list
if ev_list[ii] == 3:
print('Stimulus: left checkerboard')
else:
print('Stimulus: right checkerboard')
last_stim_time = time.time()
trig = stim_client.get_trigger(timeout=(stim_duration - 0.05))
time.sleep(max(stim_duration - (time.time() - last_stim_time), 0))
print('Stimulus: Fixation Cross')
time.sleep(0.25)
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