Abstract

We propose a developmental model of the summation pools within the layer 4. The model is based on the modular structure of the neocortex and captures some of the known properties of layer 4. Connections between the orientation minicolumns are developed during exposure to visual input. Excitatory local connections are dense and biased towards the iso-orientation domain. Excitatory long-range connections are sparse and target all orientation domains equally. Inhibition is local. The summation pools are elongated along the orientation axis. These summation pools can facilitate weak and poorly tuned LGN input and explain improved visibility as an effect of enlargement of a stimulus.

Keywords: Visual cortex; Summation pools; Horizontal connections; Response facilitation; Bayesian confidence propagation neural network

Article Outline

1. Introduction

2. Network model

3. Simulation results

4. Conclusion

References