LFP Trace
Chart overview
An LFP trace plots the continuous sub-threshold voltage signal recorded from a microelectrode as a function of time, reflecting the summed synaptic activity of nearby neuronal populations.
Key points
- Neuroscientists examine LFP traces to identify oscillatory rhythms such as theta, gamma, and slow-wave activity.
- These signals provide insight into network-level coordination and brain states that spike data alone cannot reveal.
Example Visualization
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"Create a multi-channel LFP trace plot from my electrophysiology data. Stack each channel vertically with a fixed offset, colour-code channels, mark stimulus onset with a vertical dashed line, and apply publication-quality journal styling with labelled amplitude scale bar."
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Python Code Example
import numpy as np
import matplotlib.pyplot as plt
t = np.linspace(0, 2, 2000)
signal = np.sin(2 * np.pi * 8 * t) + 0.5 * np.sin(2 * np.pi * 40 * t) + np.random.normal(0, 0.5, len(t))
plt.figure(figsize=(12, 4))
plt.plot(t, signal, color='#1e293b', linewidth=1)
plt.title('Local Field Potential (LFP) Trace', fontsize=14, fontweight='bold', pad=15)
plt.xlabel('Time (s)', fontsize=12)
plt.ylabel('Voltage ($\mu V$)', fontsize=12)
plt.xlim(0, 2)
plt.tight_layout()
plt.savefig('plotivy-lfp-trace.png', dpi=150)
print("LFP trace generated successfully.")
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Console Output
LFP trace generated successfully.
Common Use Cases
- 1Identifying theta and gamma oscillations during spatial navigation tasks
- 2Detecting sharp-wave ripples in hippocampal sleep recordings
- 3Comparing oscillatory power before and after drug administration
- 4Monitoring depth profiles of slow-wave activity across cortical layers
Pro Tips
Apply a bandpass filter appropriate to the frequency band of interest before plotting
Stack multiple channels with a consistent vertical offset rather than overlapping them
Use a physical scale bar (e.g. 100 µV / 100 ms) instead of axis tick marks for publication
Mark experimental events with vertical lines or shaded rectangles aligned to the time axis
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.