(2nd-Nov-2020)
To understand how the brain actually works. – Its very big and very complicated and made of stuff that dies when you poke it around. So we need to use computer simulations.
• To understand a style of parallel computation inspired by neurons and their adaptive connections. – Very different style from sequential computation.
• should be good for things that brains are good at(e.g. vision)
• Should be bad for things that brains are bad at (e.g. 23 x 71) • To solve practical problems by using novel learning algorithms inspired by the brain – Learning algorithms can be very useful even if they are not how the brain actually works.
How the brain works?
• Each neuron receives inputs from other neurons • The effect of each input line on the neuron is controlled by a synaptic weight • The synaptic weights adapt so that the whole network learns to perform useful computations • There are about10^11neurons each with about 10^4 weights.
Different bits of the cortex do different things. But cortex looks pretty much the same all over.
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