<｜begin▁of▁sentence｜>### Instruction:
Let's consider a neurological mapping we've been working on, in which we've represented a simplified neural circuit as a cycle graph with 4 distinct nodes, signifying perhaps four interconnected neural structures within a specific pathway. Within this model, labeled GML file "NeuralCircuit.gml," we wish to track the potential signal transmission sequences to understand the functional connectivity of this system.

Could we evaluate whether the sequences of neural structure activations represented by the node sequences [2, 3, 0] and [0, 2] reflect plausible simple signal transmission paths within this neural circuit model? It is crucial to maintain the integrity of the signal pathways to replicate real-life biological communication, ensuring there is no repetition of structures within a single sequence.
### Response:
import networkx as nx

# Create a cycle graph
g = nx.cycle_graph(4)

# Check if the given path is simple
result = nx.is_simple_path(g, [2, 3, 0])
print('Is [2, 3, 0] a simple path?', result)

result = nx.is_simple_path(g, [0, 2])
print('Is [0, 2] a simple path?', result)
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