Spaces:
Paused
Paused
File size: 658 Bytes
250836c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | """Rate visualization data preparation."""
from __future__ import annotations
from collections.abc import Mapping, Sequence
def population_rate_series(result: Mapping[str, object]) -> list[float]:
config = result.get("config", {})
monitors = result.get("monitors", {})
if not isinstance(config, Mapping) or not isinstance(monitors, Mapping):
return []
counts = monitors.get("tick_spike_counts", [])
if not isinstance(counts, Sequence):
return []
n = max(1, int(config.get("n_neurons", 1)))
dt_ms = max(1e-9, float(config.get("dt_ms", 1.0)))
return [float(value) / n / (dt_ms / 1000.0) for value in counts]
|