Fix V1 (spike-detection-only) burst analysis: load spike_times.npy when sorting is unavailable

[Copilot]

When running in spike-detection-only mode (skip_spikesorting=True), burst analysis always failed with "No spike times found" despite spikes being detected and saved to disk.

Root cause

_spike_detection_only() saves spike times to spike_times.npy but never sets self.sorting. _run_burst_analysis() gated all spike time loading behind if self.sorting:, so the else branch immediately returned an error — the saved file was never consulted.

A secondary issue: the function body was indented at 12 spaces instead of 8, and the except block was at a mismatched level, causing an IndentationError that made the entire module unparseable.

Changes

• Fix indentation — corrected _run_burst_analysis body to 8-space indent; try/except now properly paired at the same level
• Load spike_times.npy when self.sorting is None — the else branch now loads from the file written by _spike_detection_only, filters by ids_list if provided, and emits distinct error messages for each failure mode (file missing / file empty / empty after filtering):

else:
    spike_times_file = self.output_dir / "spike_times.npy"
    if spike_times_file.exists():
        spike_times = np.load(spike_times_file, allow_pickle=True).item()
        if not spike_times:
            self.logger.error("No spike times found in saved spike_times.npy file.")
            return
        if ids_list is not None:
            spike_times = {uid: spike_times[uid] for uid in ids_list if uid in spike_times}
        if not spike_times:
            self.logger.error("No spike times found for burst analysis after filtering by ids_list.")
            return
    else:
        self.logger.error("No spike times found for burst analysis.")
        return