Figure 1 The highlighted arrow is the response of the tuned neuron to the image.
A neural network model for the development of direction selectivity in the visual cortex
β Scribed by Takashi Nagano; Masaaki Fujiwara
- Publisher
- Springer-Verlag
- Year
- 1979
- Tongue
- English
- Weight
- 607 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0340-1200
No coin nor oath required. For personal study only.
β¦ Synopsis
A neural network model is proposed to explain the development of direction selectivity of cortical cells. The model is constructed under the following three hypotheses that are very plausible from recent neurophysiological findings. (1) Direction selectivity is developed by modifiable inhibitory synapses. (2) It results not from the direct convergence of many excitatory inputs from LGN cells but from cortical neural networks. (3) Direction-selective mechanism is independent of orientation-selective mechanism.--The model was simulated on a computer for a few kinds of inhibitory connections and initial conditions. The results were consistent with neurophysiological facts not only for normal cats but for cats reared in an abnormal visual environment.
π SIMILAR VOLUMES
There have been proposed several image coding methods based on the orientation-based information processing mechanism of the visual system. There has been little analysis, however, of the effects of the statistical properties of the object of coding, or the orientation-based information processing m