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Figure 1 | BMC Neuroscience

Figure 1

From: Spike to spike MT model and applications

Figure 1

Architecture of model here presented. The first layer is formed as an array of direction-selective V1 complex cells tuned for different speeds and directions of motion. Each V1 complex cell is modelled with a motion energy detector following [5]. The second layer of the model corresponds to a spiking MT cell array. Each MT cell has as input the spike trains of the V1 complex cells inside its receptive field; all the V1 cells considered inside the MT receptive field have the same orientation, the model data being based on biological findings [2]. The dashed lines represent the interactions between V1 and MT cells. The values of the weights w i are adjusted (they could also be found through learning as STDP) to tune the MT neuron for a certain motion pattern direction.

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