@neuralreckoning@neuromatch.social
Post #1442139
2025-01-14 13:08 UTC
@marcusghosh We can't say there is a single best network, but the simple sliding window network does close to as well or better than the RNN across a wide range of training/testing setups, with RNN outperforming the simpler network when information burst lengths get much longer than the window length.
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@neuralreckoning@neuromatch.social 2025-01-14 13:08
@marcusghosh In conclusion: ⭐ a relatively simple modification of classic multisensory algorithms can give rise to substantially better performance in more realistic environments. ⭐ Studying the temporal structure in multisensory environments may help explain multisensory neural architectures.