Fig. 7.

A decision-making model that has a mixture of parameters with opposing effects on psychophysical kernels can create a diversity of kernel dynamics for static sensory weights. a A model composed of two competing integrators that allows different ratios of leak and inhibition, collapsing decision bounds, and non-decision times. The model also has input correlation >−1 and reflective lower bounds, but they are fixed for simplicity. b When bound collapse is small and non-decision times are long, the kernel drops monotonically over time. c When bound collapse is large and non-decision times are short, the kernel rises monotonically. d When these opposing factors balance each other, the kernel becomes flat