Long time-constants are expensive and difficult to implement in hardware. Can long-term memory be formed without them? In other words, are long time-constants necessary?
While perhaps not necessary, bio-inspired mechanisms are arising in SNNs adding long time constant to improve the computational power (Adaptation [1], Delays [2]). So maybe long time-constants are useful after all.
Let's discuss algorithms and neuroscience to find an answer!
[1] A surrogate gradient spiking baseline for speech command recognition
[2] Learning Delays in SNNs using Dilated Comvolutions with Learnable Spacings
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| Day | Time | Location |
|---|---|---|
| Thu, 09.05.2024 | 21:30 - 22:30 | Sala Panorama |