Update README.md

README.md

@@ -31,23 +31,68 @@ The SbS.py autodetectes if the required C++ .so modules are in the same director
 
 ## Variables
 
+```
 epsilon_xy  
+```
+
+```
 epsilon_0  
+```
+
+```
 epsilon_t  
+```
+
+```
 weights  
+```
+
+```
 kernel_size  
+```
+
+```
 stride  
+```
+
+```
 dilation  
+```
+
+```
 padding  
+```
+
+```
 output_size  
+```
+
+```
 number_of_spikes  
+```
+
+```
 number_of_cpu_processes  
+```
+
+```
 number_of_neurons  
+```
+
+```
 number_of_input_neurons  
+```
+
+```
 h_initial  
+```
+
+```
 alpha_number_of_iterations  
+```
 
 ## Constructor 
+```
 def **__init__**(  
     self,  
     number_of_input_neurons: int,  
@@ -66,48 +111,57 @@ padding: list[int] = [0, 0],
     alpha_number_of_iterations: int = 0,  
     number_of_cpu_processes: int = 1,  
 ) -> None:
+```
 
 ## Methods
 
+```
 def **initialize_weights**(  
     self,  
     is_pooling_layer: bool = False,  
     noise_amplitude: float = 0.01,  
 ) -> None:  
+```
 For the generation of the initital weights. Switches between normal initial random weights and pooling weights.
 
 ---
 
+```
 def **initialize_epsilon_xy**(  
     self,  
     eps_xy_intitial: float,  
 ) -> None:  
+```
 Creates initial epsilon xy matrices.
 
 ---
-
+```
 def **set_h_init_to_uniform**(self) -> None:  
+```
 
 ---
-
+```
 def **backup_epsilon_xy**(self) -> None:  
 def **restore_epsilon_xy**(self) -> None:  
 def **backup_weights(self)** -> None:  
 def **restore_weights(self)** -> None:  
+```
 
 ---
-
+```
 def **threshold_epsilon_xy**(self, threshold: float) -> None:  
 def **threshold_weights**(self, threshold: float) -> None:  
+```
 
 ---
-
+```
 def **mean_epsilon_xy**(self) -> None:  
+```
 
 ---
-
+```
 def **norm_weights**(self) -> None:
-
+```
 
 # Parameters in JSON file