Research map / Architectures and efficiency / Spiking networks
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| raise SNN operating frequency from 10 Hz to 1 kHz | SNN navigation · Forest navigation, 50% noise | % Success: 28.4 -> 68 | Helped |
| raise SNN operating frequency from 100 Hz to 1 kHz | SNN navigation · Forest navigation, 50% noise | % Success: 66.2 -> 68 | Helped |
| raise SNN frequency from 10 Hz to 1 kHz | SNN navigation · Forest navigation, 50% noise | % Obstacle: 50 -> 29.6 | Helped |
| raise SNN frequency from 10 Hz to 1 kHz | SNN navigation · Forest navigation, 50% noise | Avg. success time (sec): 6.68 -> 6.27 | Helped |
| replace PID particle with SNN at 1 kHz | SNN navigation · Forest navigation, 50% noise | % Success: 29.13 -> 68 | Helped |
| replace PID particle with SNN at 1 kHz | SNN navigation · Forest navigation, 50% noise | % Obstacle: 10 -> 29.6 | Hurt |
| replace PID particle with SNN at 1 kHz | SNN navigation · Forest navigation, 50% noise | Avg. success time (sec): 5.08 -> 6.27 | Hurt |
| replace PID with SNN at 10 Hz | SNN navigation · Forest navigation, 50% noise | % Success: 29.13 -> 28.4 | No clear effect |
| use SNN decisions instead of PID per-step decisions | SNN navigation · Forest navigation | number of decisions: 220X times less | Helped |
| raise operating frequency with zero additive noise | Azimuth tracking, uniform encoding · Step response at -60 deg | RMS error | Helped |
| raise operating frequency from 10 Hz to 1 kHz under 50% noise | Azimuth tracking, uniform encoding · Step response at -60 deg | RMS error | Hurt |
| use Poisson instead of uniform source encoding under 50% noise | Azimuth tracking · Step response at -60 deg | RMS error | Helped |
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