3 state Neuronal Network
- Author:
- Denis
Each of N elements has K inputs and 0..N-1 outputs. Initial values and inputs are assigned randomly.
Element has 3 possible states: 1, 0 and -1(inhibited).
At every time step "average input" is calculated.
New value of element calculates depending on previous state and lim1,2 parameters:
__________|in| < lim1_____________lim1 <= |in|<= lim2__________________|in|>lim2
<prev>
-1.........................0...........................................0.............................................................0
0..........................0...........................................1...........................................................-1
1..........................1...........................................0.......................................................... -1