🏢 Johns Hopkins Applied Physics Laboratory
Not so griddy: Internal representations of RNNs path integrating more than one agent
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AI Theory
Representation Learning
🏢 Johns Hopkins Applied Physics Laboratory
RNNs trained on dual-agent path integration develop distinct internal representations compared to single-agent models, exhibiting weaker grid cell responses and enhanced border/band cell activity, wit…