At the beginning, look at any living thing. It is an entity with self in an environment. Call the environment nature, then the data flow of any active body is:
nature -> sensors -> brain -> motors -> nature
The self is sensors, brain and motors. From the data flow note that brain is singular and is always between sensors and motors.
A sensors reads an aspect of nature and abstracts it to a number.
Brain reads all the sensors, makes a function for each motor and writes data to each motor. Motors read the brain and convert the numbers into an action that pushes on nature.
A neuron is a brain function. The synapses are virtual motor inputs and the axon is a virtual sensor output. Let the axon be A and the synapses Sx where x is a number. Then
A = N(S1,S2...Sn) is a function N.
Brains are a list of sensors of neural functions. Brains are of any size, from 0 to n.
Now we can compute brain functional complexity. Count the sensors and motors. Divide sensors by motors and you have the number of neural functions.
This is step one in building brains. In step two we will make some neural functions and neurons.
Harold
nature -> sensors -> brain -> motors -> nature
The self is sensors, brain and motors. From the data flow note that brain is singular and is always between sensors and motors.
A sensors reads an aspect of nature and abstracts it to a number.
Brain reads all the sensors, makes a function for each motor and writes data to each motor. Motors read the brain and convert the numbers into an action that pushes on nature.
A neuron is a brain function. The synapses are virtual motor inputs and the axon is a virtual sensor output. Let the axon be A and the synapses Sx where x is a number. Then
A = N(S1,S2...Sn) is a function N.
Brains are a list of sensors of neural functions. Brains are of any size, from 0 to n.
Now we can compute brain functional complexity. Count the sensors and motors. Divide sensors by motors and you have the number of neural functions.
This is step one in building brains. In step two we will make some neural functions and neurons.
Harold