Update README.md

README.md

@@ -95,6 +95,13 @@ predicted_odor = logits.argmax(dim=1).item()
 - **SNN timesteps:** 20
 - **Evaluation:** 5× Monte Carlo averaging over stochastic Poisson encoding
 
+## Connectome-Constrained Spiking Neural Networks Olfactory Classification Study
+This model was used in a classification study and ran against a comparable but shuffled spiking neural network Sparse MLP, and Dense MLP models.
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+Summary Results may be found here: https://mire-institute.org/research-papers/connectomeconstrained-spiking-neural-networks-olfactory-classification-study
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+And the full research paper may be found here: https://mire-institute.org/research-papers/connectomeconstrained-spiking-neural-networks-olfactory-classification-study-preprint
+
 ## Biological basis
 
 The model's recurrent topology is extracted from the [FlyWire](https://flywire.ai/)