Thinking and adapting neural networks

Thinking is like programming or training the neural network. Based on basic principles, thinking reprograms the neural network to do complex tasks, but in flow as in-memory-compute as universe evolves, it is constrained to follow certain flow path, that it computes the meaningful quantity the being desired.

Whenever I move from project to project, I have to rewire synaptic weight connections in my entire brain to work on a different project, its not like all the projects are loaded at the same time. so a dynamic hardware is created. Brain is close to an FPGA, not CPU or GPU, in terms of computation.