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Figure 1

From: Model predictions of features in microsaccade-related neural responses in a feedforward network with short-term synaptic depression

Figure 1

(Adapted from Ref. 17) The feedforward network model including STD during fixation with microsaccade.

Here, neurons in LGN and V1 are labeled and arranged by the center positions xj and of their receptive fields in the ranges from −L to L, respectively. Gaussian filters (receptive fields) in LGN layer transform the afferent stimuli evoked by fixated dot into the inputs with Gaussian firing rate profile: . The A represents the amplitude of a visual input at fixated-dot position . The σ1 is width of the tuning curve. The output layer V1 is connected to input layer LGN by thalamocortical synapses with synaptic strengths Sj, which are subjected to the modification: STD. These connecting weights Wij follow the Gaussian tuning curve: , where denotes denotes the position difference of receptive field centers between the input neuron j and the output neuron i. The microsaccade during fixation can be regarded as relative movement of the fixated dot over LGN with microsaccadic magnitude ΔM. In order to eliminate the effect of boundary owing to the limited scale of network, the corresponding input tuning curve G1 is extended to a period function with period 2L.

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