braintools.spike.bitwise_not

braintools.spike.bitwise_not(x)

Perform a bitwise NOT operation on spike tensors.

This function computes the NOT operation on a spike tensor. The NOT operation inverts the binary values in the tensor.

Parameters:

x (Array | ndarray | bool | number | bool | int | float | complex | Quantity) – The input spike tensor.

Returns:

The element-wise NOT of the input, with the same shape.

Return type:

Array | ndarray | bool | number | bool | int | float | complex | Quantity

See also

bitwise_iand

(NOT x) AND y.

Notes

This operation is implemented using the formula 1 - x, which is equivalent to the NOT operation for binary values. Boolean inputs give a boolean result (computed with the logical functions); numeric inputs use the arithmetic formula, which keeps the dtype and stays differentiable for surrogate-gradient spikes.

Examples

>>> import jax.numpy as jnp
>>> import braintools
>>> braintools.spike.bitwise_not(jnp.array([0, 0, 1, 1]))
Array([1, 1, 0, 0], dtype=int32)
>>>
>>> braintools.spike.bitwise_not(jnp.array([False, False, True, True]))
Array([ True,  True, False, False], dtype=bool)