types.core.AbstractFeatureSeries - MATLAB File Help
types.core.AbstractFeatureSeries
  AbstractFeatureSeries Abstract features, such as quantitative descriptions of sensory stimuli. The TimeSeries::data field is a 2D array, storing those features (e.g., for visual grating stimulus this might be orientation, spatial frequency and contrast). Null stimuli (eg, uniform gray) can be marked as being an independent feature (eg, 1.0 for gray, 0.0 for actual stimulus) or by storing NaNs for feature values, or through use of the TimeSeries::control fields. A set of features is considered to persist until the next set of features is defined. The final set of features stored should be the null set. This is useful when storing the raw stimulus is impractical.
Class Details
Superclasses types.core.TimeSeries, types.untyped.GroupClass
Sealed false
Construct on load false
Constructor Summary
AbstractFeatureSeries Constructor for AbstractFeatureSeries 
Property Summary
comments (char) Human-readable comments about the TimeSeries. This second descriptive field can be used to store additional information, or descriptive information if the primary description field is populated with a computer-readable string. 
control (uint8) Numerical labels that apply to each time point in data for the purpose of querying and slicing data by these values. If present, the length of this array should be the same size as the first dimension of data. 
control_description (char) Description of each control value. Must be present if control is present. If present, control_description[0] should describe time points where control == 0. 
data REQUIRED (any) Data values. Data can be in 1-D, 2-D, 3-D, or 4-D. The first dimension should always represent time. This can also be used to store binary data (e.g., image frames). This can also be a link to data stored in an external file. 
data_continuity (char) Optionally describe the continuity of the data. Can be "continuous", "instantaneous", or "step". For example, a voltage trace would be "continuous", because samples are recorded from a continuous process. An array of lick times would be "instantaneous", because the data represents distinct moments in time. Times of image presentations would be "step" because the picture remains the same until the next timepoint. This field is optional, but is useful in providing information about the underlying data. It may inform the way this data is interpreted, the way it is visualized, and what analysis methods are applicable. 
data_conversion (single) Scalar to multiply each element in data to convert it to the specified 'unit'. If the data are stored in acquisition system units or other units that require a conversion to be interpretable, multiply the data by 'conversion' to convert the data to the specified 'unit'. e.g. if the data acquisition system stores values in this object as signed 16-bit integers (int16 range -32,768 to 32,767) that correspond to a 5V range (-2.5V to 2.5V), and the data acquisition system gain is 8000X, then the 'conversion' multiplier to get from raw data acquisition values to recorded volts is 2.5/32768/8000 = 9.5367e-9. 
data_offset (single) Scalar to add to the data after scaling by 'conversion' to finalize its coercion to the specified 'unit'. Two common examples of this include (a) data stored in an unsigned type that requires a shift after scaling to re-center the data, and (b) specialized recording devices that naturally cause a scalar offset with respect to the true units. 
data_resolution (single) Smallest meaningful difference between values in data, stored in the specified by unit, e.g., the change in value of the least significant bit, or a larger number if signal noise is known to be present. If unknown, use -1.0. 
data_unit (char) Base unit of measurement for working with the data. Actual stored values are not necessarily stored in these units. To access the data in these units, multiply 'data' by 'conversion' and add 'offset'. 
description (char) Description of the time series. 
feature_units (char) Units of each feature. 
features REQUIRED (char) Description of the features represented in TimeSeries::data. 
starting_time (double) Timestamp of the first sample in seconds. When timestamps are uniformly spaced, the timestamp of the first sample can be specified and all subsequent ones calculated from the sampling rate attribute. 
starting_time_rate (single) Sampling rate, in Hz. 
starting_time_unit (char) Unit of measurement for time, which is fixed to 'seconds'. 
timestamps (double) Timestamps for samples stored in data, in seconds, relative to the common experiment master-clock stored in NWBFile.timestamps_reference_time. 
timestamps_interval (int32) Value is '1' 
timestamps_unit (char) Unit of measurement for timestamps, which is fixed to 'seconds'. 
Method Summary
  addlistener Add listener for event. 
  delete Delete a handle object. 
  eq == (EQ) Test handle equality. 
  export  
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  listener Add listener for event without binding the listener to the source object. 
  loadAll  
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event. 
  validate_comments  
  validate_control  
  validate_control_description  
  validate_data  
  validate_data_continuity  
  validate_data_conversion  
  validate_data_offset  
  validate_data_resolution  
  validate_data_unit  
  validate_description  
  validate_feature_units  
  validate_features  
  validate_starting_time  
  validate_starting_time_rate  
  validate_timestamps  
Event Summary