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|_| ...2023-07-22 |___/
Project Perfect Recall
technologies in a novel way.
video, everything that takes place around a person. Furthermore, we're
able to mark (by time, for instance) every digital piece of information that
a person accesses.
retrieval by a that person is impractical, they may be able to recall roughly
by time, however, this is inefficient and cumbersome.
and think about it, that is, attempt to remember it.
Creating hardware and software to allow this might not be very far fetched.
in, among other phenomena, tiny electrical charges which can be picked up using
Similar electrical takes place during memory recall.
along with relatively high resolution EEG from a cap, like Braincap.
and attempt to remember the thing they want more detailed information about.
For example, the user remembers a time and place was mentioned, but forgot
the actual time.. They also remember it was their friend telling it to them
in the park and there was music playing, now that part they recall more
vividly, and the system uses the EEG data from this recall to find the relevant
place in the audiovisual stream, which can then be played back by conventional
means to re-play that part of the conversation.
exactly which words were said, and how.. That is very difficult to recall for
some people, however, the feeling they had at the moment may be easier to
remember, and so by thinking back on the argument and reliving that feeling,
the system finds the relevant part of the conversation and makes it available
for playback, not by some magic, but more or less using the EEG data as an
indexing key into the stream of data..
at that same time.
trained on that stream of EEG data and then presented with a new EEG data to
must correlate with previous data, and simply recall whatever else was recorded
at that time. In this model, the network only needs to correlate EEG data
and won't need training on the actual audiovisual stream.
a neural network to recognize distinct-enough EEG patterns (for instance,
the pattern of the happy user thinking about a bird from their childhood and
the pattern of a sad user thinking about a bird from yesterday).