<｜begin▁of▁sentence｜>### Instruction:
Given the C. elegans neural graph, which can be read from a GML file named celegansneural.gml, can you use the gdmp2 function from the cdlib library to perform community detection with a minimum density threshold of 0.75? And can you provide the JSON representation of the community detection result?
### Response:
import networkx as nx
from cdlib import algorithms

# Loading the neural network graph of the C. elegans
G = nx.read_gml('celegansneural.gml')

# Using gdmp2 algorithm for community detection with the specified minimum density threshold
communities = algorithms.gdmp2(G, min_threshold=0.75)

# Generating JSON representation of the algorithm's object
json_representation = communities.to_json()

# Print the JSON object
print(json_representation)
<|EOT|>
