fmri_snrt
=========

.. currentmodule:: fmri_toolbox

Description
-----------
FMRI_SNRT  Temporal signal-to-noise ratio (tSNR) for each brain voxel.
Computes the temporal SNR for each voxel as the ratio of the mean signal
across time to its temporal standard deviation:
tSNR = mean(S_v) / std(S_v)
A high tSNR voxelwise map indicates stable signal; low values indicate
noisy or artefact-prone voxels. Standard quality metric for fMRI data.

Usage
-----
.. code-block:: matlab

    SNR = fmri_snrt(v)

Inputs
------
- **V**: fMRI data, vectorized (228453 x T) or volume (91 x 109 x 91 x T).

Outputs
-------
- **SNR**: Temporal SNR map (228453 x 1). Visualise with fmri_showslices.

Examples
--------
.. code-block:: matlab

    tsnr = fmri_snrt(data);
    fmri_showslices(tsnr, 1, 2, [0 100])

See Also
--------
- fmri_snri
- fmri_cnr