Logo

Science Forum - Speaker Dr. Kelvin McQueen - TBD - Shared screen with speaker view
Victor Wang (Institute of ECHO)
26:47
Does this mean that the artificial neural network models for machine learning, once parametrized to function as feedforward nets, are philosophical zombies?
Victor Wang (Institute of ECHO)
31:48
Thanks so much! 😄
José Gil Férez
50:26
I guess similar experiments could be done with auditory illusions. Have you tried any?
Matthew Leifer
50:56
The argument lacks calibration. How much more phi is required to get an identifiably different experience and does this effect yield that much additional phi?
Amber Hopkins (she/her)
01:00:36
@José, yes, this could be done for auditory illusions and likely many other kinds of illusions, as well! We just focused on visual filling-in here to demonstrate the idea/argument
Margaret Olano (she/her)
01:01:55
Great talk! I have a 1pm to prep for. Thank you.
Cai Waegell
01:02:47
There is more brain feedback in one case, even though the experience is identical
Victor Wang (Institute of ECHO)
01:03:54
Thank you all so much for the fantastic presentation, organization, and discussion! ^^
Amber Hopkins (she/her)
01:04:33
@Matthew, whether or not the difference in phi generated by these pairs is ‘enough’ such that it is not ‘excluded’ in the whole-brain correlate of consciousness is an open question! Would require careful phi calculations and comparisons/modeling.
Matthew Leifer
01:06:20
@Amber Hopkins Thanks
José Gil Férez
01:06:44
Thank you, this was very interesting!