<｜begin▁of▁sentence｜>### Instruction:
Given the neural network of the C. elegans, which you can read from a GML file named celegansneural.gml, can you use the wCommunity function in cdlib to perform community detection, accounting for edge weights? And can you generate a JSON representation of the detected communities?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph from a GML file
G = nx.read_gml('celegansneural.gml')

# Set default edge weight attribute if it's not present
if not nx.get_edge_attributes(G, 'weight'):
    nx.set_edge_attributes(G, values=1, name='weight')

# Perform community detection using wCommunity algorithm
communities = algorithms.wCommunity(G, min_bel_degree=0.6, threshold_bel_degree=0.6)

# Generate JSON representation of the detected communities
communities_json = communities.to_json()
print(communities_json)
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