@@thomasmuller7001 LSTM are very good at sequence learning but this is not the essence of what spiking networks do, imho they try to internalize behavioural decision factors. They are also not sequentially locked like LSTMs but depend on timing of stimulus and internal state..LSTM is a special case of what spiking networks in de brain do imho
@@bikinihaulsell_bikinis3125 yes they are good , but for big real world complicated task you would need a very very big net of them and training would be impossible and hence not useful for real time operation
Good video. A list of all acronyms would be really helpful though.
Great video. Is the subsequent discussion available to watch?
I believe this is the paper, if anyone is interested: arxiv.org/pdf/1803.09574.pdf
No use to make snn do the same thing as LSTM like this
why?
@@thomasmuller7001 LSTM are very good at sequence learning but this is not the essence of what spiking networks do, imho they try to internalize behavioural decision factors. They are also not sequentially locked like LSTMs but depend on timing of stimulus and internal state..LSTM is a special case of what spiking networks in de brain do imho
@@bikinihaulsell_bikinis3125 yes they are good , but for big real world complicated task you would need a very very big net of them and training would be impossible and hence not useful for real time operation