stimulus_response_summary
STIMULUS_RESPONSE_SUMMARY - compute a stimulus response summary for timeseries data
RESPONSE = STIMULUS_RESPONSE_SUMMARY(TIMESERIES, TIMESTAMPS, STIM_ONSETOFFSETID, ...)
STIM_ONSETOFFSETID is a variable that describes the stimulus history. Each row should
contain [stim_onset_time stim_offset_time stimid] where the times are in units of TIMESTAMPS (s).
Computes a structure RESPONSE with fields:
Field name: | Description:
------------------------------------------------------------------------
stimid | The stimulus id of each stimulus observed
mean_responses | The mean response of TIMESERIES across stimulus
| presentations [stimid(1) stimid(2) ...]
stddev_responses | The standard deviation of TIMESERIES across stimulus
| presentations [stimid(1) stimid(2) ...]
stderr_responses | The standard error of the mean of TIMESERIES
| across stimulus presentations [stimid(1) stimid(2) ...]
individual_responses | A cell array with the individual responses to each stimulus
| individual_responses{i}(j) has the jth response to stimulus with stimid(i)
blank_mean | The mean response of TIMESERIES to the blank stimulus, if one is
| specified with 'blank_stimid'
blank_stddev | The standard deviation of the response of TIMESERIES to the blank stimulus,
| if one is specified with 'blank_stimid'
blank_stderr | The standard error of the mean of the responses of TIMESERIES to the blank stimulus,
| if one is specified with 'blank_stimid'
blank_individual_responses | The individual responses of TIMESERIES to the blank stimulus, if one
| is specified with 'blank_stimid'
The behavior of the function can be modified by name/value pairs:
Parameter (default value) | Description:
------------------------------------------------------------------------
freq_response (0) | The frequency response to measure using FFT of TIMESERIES. Can be
| 0 (to use the mean response), or a number corresponding
| to the frequency to analyze. Can also be a vector
| the same size as the number of stimuli to indicate
| the frequency to be used for each stimulus (freq_response(stimid(i)).
| For example, to compute the response at the fundamental stimulus
| frequency (F1) when that frequency is 1 Hz, pass 1 for 'freq_response'.
blank_stimid ([]) | Use this to pass the identity (or identities) of a 'blank' stimulus
| (some sort of control stimulus; in vision, this is often presenting
| a blank screen for same duration as the other stimuli.)
| The 'blank' stimulus is not counted among the stimuli in 'stimid'
prestimulus_time ([]) | Calculate a baseline using a certain amount of TIMESERIES signal during
| the pre-stimulus time given here.
prestimulus_normalization ([])| Normalize the stimulus response based on the prestimulus measurement.
| [] or 0) No normalization
| 1) Subtract: Response := Response - PrestimResponse
| 2) Fractional change Response:= ((Response-PrestimResponse)/PrestimResponse)
| 3) Divide: Response:= Response ./ PreStimResponse