simpunch.spike#

Tools for generating realistic spikes.

Attributes#

`TESTDATA_DIR`
`HIT_MAP_DIR`
`SPIKE_SCALING_MEAN`
`SPIKE_SCALING_STD`
`SPIKE_FREQUENCY`

Functions#

`read_hit_map`(→ numpy.ndarray)	Read in a hit map file and make an image of the spikes.
`load_spike_library`(→ numpy.ndarray)	Load all the spike images as a 3D numpy array.
`generate_spike_image`(, spike_frequency, ...)	Generate a realistic spike image.

Module Contents#

simpunch.spike.TESTDATA_DIR#

simpunch.spike.HIT_MAP_DIR#

simpunch.spike.SPIKE_SCALING_MEAN = 60536#

simpunch.spike.SPIKE_SCALING_STD = 605.36#

simpunch.spike.SPIKE_FREQUENCY = 1960#

simpunch.spike.read_hit_map(path: str) → numpy.ndarray#: Read in a hit map file and make an image of the spikes.

simpunch.spike.load_spike_library() → numpy.ndarray#: Load all the spike images as a 3D numpy array.

simpunch.spike.generate_spike_image(image_shape: int, int, spike_frequency: int = SPIKE_FREQUENCY, spike_scaling_mean: float = SPIKE_SCALING_MEAN, spike_scaling_std: float = SPIKE_SCALING_STD, max_spike: int = 2**16, patch_size: int = 50, rotate: bool = True, transpose: bool = True, library: numpy.ndarray | None = None) → numpy.ndarray#: Generate a realistic spike image.