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My understanding is that neurons are like a higher-order connected mesh. A bit like many fully-connected layers in a Machine Learning model. You can't just rea
by JanSolo 5y ago
My understanding is that neurons are like a higher-order connected mesh. A bit like many fully-connected layers in a Machine Learning model.
You can't just read fine motor signals from any neuron, but given enough neurons, since they're deeply connected, you can infer a close approximation of the intended motor signals given a known output. That's why they need a lot of sampling wires in the brain; to makes sure they have enough data to make that inference. Luckily, machine-learning is very good at figuring out patterns in this sort of data.
My guess is that they train an ML model using the inputs and outputs when the joystick is connected. Then they can use the trained model to just generate the output directly from the inputs when the joystick is disconnected.
This will work fine for one particular monkeybrain/interface combo; however, you cannot use the same model on other monkeys. You have to train a new one each time.
- judge2020 5y ago> Like, you can't just tape a metal coat hanger to an iPhone and start getting text messages through it. You could if we didn't encrypt connections. On that note, does anyone know how to upgrade libssl across my entire nervous system?
- croddin 5y ago> On that note, does anyone know how to upgrade libssl across my entire nervous system? ‘Inception’ shows someone who tries to do something like that, but there seems to be a vulnerability.
- meowface 5y agoOr have Bluetooth disabled by default for my brain. The game examples were super fascinating, but since I was already essentially familiar with the fundamental principles and technology, it didn't quite impact me as much as the researcher pairing his iPhone with a Bluetooth transceiver in the monkey's brain. That sent weird shivers down my spine.
- babesh 5y agoThis reminds me of dropout where the neural network won’t be dependent on a specific connection. Instead, it will be statistical which will actually be a good fit for this approach. https://en.wikipedia.org/wiki/Dilution_(neural_networks) https://en.wikipedia.org/wiki/Dilution_(neural_networks)
- aparsons 5y agoFunny you mention meshes. I’ve always thought that self-organizing maps are a good model for neurons, more so than deep neural networks.