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.