<｜begin▁of▁sentence｜>### Instruction:
Imagine you're developing a biomedical neural network model to represent the connections between different regions of the brain, and the graph you're working on has specific synaptic pathways defined by the connections (0, 1), and (1, 2). To enhance the simulation of signal transmission across two synapses within this neural network model, could you employ NetworkX's number_of_walks function to ascertain the count of synaptic transmission paths with a length of two interchanges for each pair of neurons represented in the model? This information would greatly aid in understanding the potential complexity of signal propagation within the network.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (1, 2)])

# Calculate the number of walks with length 2
walk_length = 2
walks = nx.number_of_walks(G, walk_length)

# Print the calculated number of walks
print(walks)

# Count the total number of walks of length 2
total_walks = sum(sum(targets.values()) for _, targets in walks.items())
print('Total number of walks of length 2:', total_walks)
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