Fig. 4.

Optimization of input firing vectors for ensemble decoding. A: input vectors for support vector machine (SVM) decoding analysis were constructed from firing rates during a variable size of a time bin within the 500-ms interval between the conditioned stimulus (CS) and the unconditioned stimulus (US). In all 3 neuron types, decoding accuracy was improved with the larger bin size. BT, burst-firing neuron; FS, fast-spiking neuron; RF, regular-firing neuron. B: comparison of decoding accuracy with firing rates during the first 250-ms bin (left) vs. with those during both the first and last bins (right). Each data point indicates decoding accuracy of each SVM run with a different set of 80 subsampled neurons, and horizontal bars indicate the median of 20 runs. Red dashed line represents 25% chance level.