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<p>Neurons along the visual pathway–from the retina to the primary visual cortex (V1) and higher visual areas–process information related to objects, such as their shape, texture, color, and direction of movement.The representation of spatial and temporal information in these areas is divergent and functional.Understanding how different features of input stimuli are represented throughout the visual system is important for comprehending how the brain computes spatial and temporal stimulus information. Although there is a substantial body of literature identifying how simple cell selectivity emerges with the help of synaptic plasticity, most of these papers focus on the role of excitatory synapses in selectivity emergence. These studies often implement only lateral inhibitory synapses between simple cells, which reduces the role of inhibition to decorrelating neuronal activity, leaving the role of plasticity in inhibitory synapses unclear.To address this knowledge gap, a spiking neural network (SNN) resembling the early visual pathway has been developed.We evaluated the emerging feature representation by measuring the diversity of the receptive fields and by testing the SNN on different object recognition datasets. Additionally, the roles of tuned lateral inhibition and synaptic delays in stimulus movement direction selectivity were investigated.</p>

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The Effects of Inhibitory Plasticity and the Emerging Network Dynamics on Processing Visual Information

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月15日

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  • René Larisch

摘要

Neurons along the visual pathway–from the retina to the primary visual cortex (V1) and higher visual areas–process information related to objects, such as their shape, texture, color, and direction of movement.The representation of spatial and temporal information in these areas is divergent and functional.Understanding how different features of input stimuli are represented throughout the visual system is important for comprehending how the brain computes spatial and temporal stimulus information. Although there is a substantial body of literature identifying how simple cell selectivity emerges with the help of synaptic plasticity, most of these papers focus on the role of excitatory synapses in selectivity emergence. These studies often implement only lateral inhibitory synapses between simple cells, which reduces the role of inhibition to decorrelating neuronal activity, leaving the role of plasticity in inhibitory synapses unclear.To address this knowledge gap, a spiking neural network (SNN) resembling the early visual pathway has been developed.We evaluated the emerging feature representation by measuring the diversity of the receptive fields and by testing the SNN on different object recognition datasets. Additionally, the roles of tuned lateral inhibition and synaptic delays in stimulus movement direction selectivity were investigated.