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-mind
-====
-
-This module is used to create arbitrary stateful neural networks. 
-
-The only export is the following function:
-
-```
-network(input_count, internal_count, output_count, weight_max = 4 : number)
-```
-
-This function returns an object that represents a neural network with `input_count` input neurons,
-`internal_count` internal (and stateful) neurons, and `output_count` output neurons. `max_weight` determines
-the maximum absolute value allowed for connection weights.
-
-A network object has two methods:
-
-```
-connect(source, sink, weight : number)
-```
-
-This method returns a new network object that is an exact copy of the original, except with a new
-connection between the neuron indexed by `source` and `sink`, with weight `weight`. Neuron indices
-are zero-indexed, and span all neurons, first the inputs, then the internal neurons, and finally the outputs.
-An error will be thrown if `source` is in the range of output neurons or if `sink` is in the range of input
-neurons.
-
-
-```
-compute(inputs, state : array[number])
-```
-
-This method returns a tuple `[output, newState]`, where `output` is an array of `output_count` values
-corresponding to the output neuron's computed values, and `newState` is the new state of the internal neurons.
-
-`input` must be an array of numbers with length equal to `input_count`, and `state` must be an array of numbers
-with length equal to `internal_count` or an error will be raised.