Universidad Politécnica de Madrid

Motion direction estimation has lacked a unified model spanning species and brain regions, since existing models tend to fit one animal class, one brain area or one phenomenon. INME uses only cells selective to the four cardinal directions, embedding dendritic nonlinearity and a back-propagating action potential in one circuit with a post-summation readout stage. Across eleven synthetic-stimulus experiments it qualitatively reproduces phenomena from contrast saturation and reverse-Phi to the breaking of time-reversal symmetry, while five deep optical-flow networks with millions of parameters reproduce only a few of them.

Motion direction estimation has lacked a unified model spanning species and brain regions, since existing models tend to fit one animal class, one brain area or one phenomenon. INME uses only cells selective to the four cardinal directions, embedding dendritic nonlinearity and a back-propagating action potential in one circuit with a post-summation readout stage. Across eleven synthetic-stimulus experiments it qualitatively reproduces phenomena from contrast saturation and reverse-Phi to the breaking of time-reversal symmetry, while five deep optical-flow networks with millions of parameters reproduce only a few of them.