Decoding decision-making behavior from sparse neural spiking activity
Fig 5
Neuronal attention weight distribution in mouse decision-making.
Visualization of attention mechanism outputs from the CA-BiLSTM model for the ibl_witten_29 mouse across five-fold cross-validation. Top: Distribution of attention weights for all neurons, with values from -1 to 1 indicating each neuron’s contribution to the decision-making process. Middle: Heatmap showing trial-specific attention weights for each neuron across the test set. Bottom: Mean positive attention weights across all test trials. The consistent weight distributions across five-fold cross-validation demonstrate the stability and reliability of the identified neural correlates.