We discuss a possibility that the entire universe on its most fundamental level is a neural network. We identify two different types of dynamical degrees of freedom: “trainable” variables (e.g. bias vector or weight matrix) and “hidden” variables (e.g. state vector of neurons).
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- Jagdish Chandra Bose & plant neurobiology
- Invertebrate sentience: A review of the neuroscientific literature
- Some problems of the very intuitive evolutionary emergentist paradigm trying to explain consciousness from neurons
- Only mammals and birds are sentient, according to Nick Humphrey
- Consciousness baffles me, but not the Hard Problem
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