Stim Files Info

pulse = 'cathode': 'Elec_A1', 'anode': 'Elec_A2', 'amplitude_ua': 150, # microamps 'pulse_width_us': 250, 'interphase_delay_us': 50, 'frequency_hz': 20, 'duration_sec': 5.0 stim_file['stimulus_sequence'].append(pulse)

In closed-loop BCI (e.g., stimulating the somatosensory cortex to provide "touch feedback" from a prosthetic hand), the STIM file is not static. The BCI algorithm generates a dynamic STIM file in real-time, updating amplitude based on grip force.

If you meant a different kind of “stim files” (e.g., electrical stimulation parameters in neurostimulation devices, or audio stimulation files), let me know and I’ll refine the answer. stim files

Modern STIM files often integrate with real-time closed-loop systems. The trigger matrix defines whether stimulation is "free-running" (continuous) or gated by external events, such as a neuron spiking in a different cortical area.

We are entering the era of closed-loop neuromodulation, and stim files are evolving to keep pace. If you meant a different kind of “stim files” (e

If you're asking for features of stim files in that context, here are the key ones:

At its core, a STIM file is a structured data container used to define the parameters of an electrical stimulation sequence. Unlike a standard text document or a generic CSV, a STIM file is tailored explicitly for hardware drivers—specifically, neural stimulators and data acquisition (DAQ) systems. Modern STIM files often integrate with real-time closed-loop

Think of a STIM file as a musical score for an electrode array. Just as a musical score tells each musician exactly when to play, how loud to play, and for how long, a STIM file tells each channel on a stimulator chip: