Name
Title | ||
|---|---|---|
A multichip aVLSI system emulating orientation selectivity of primary visual cortical cells. |
Abstract | ||
|---|---|---|
In this paper, we designed and fabricated a multichip neuromorphic analog very large scale integrated (aVLSI) system, which emulates the orientation selective response of the simple cell in the primary visual cortex. The system consists of a silicon retina and an orientation chip. An image, which is filtered by a concentric center-surround (CS) antagonistic receptive field of the silicon retina, is transferred to the orientation chip. The image transfer from the silicon retina to the orientation chip is carried out with analog signals. The orientation chip selectively aggregates multiple pixels of the silicon retina, mimicking the feedforward model proposed by Hubel and Wiesel. The chip provides the orientation-selective (OS) outputs which are tuned to 0 degrees, 60 degrees, and 120 degrees. The feed-forward aggregation reduces the fixed pattern noise that is due to the mismatch of the transistors in the orientation chip. The spatial properties of the orientation selective response were examined in terms of the adjustable parameters of the chip, i.e., the number of aggregated pixels and size of the receptive field of the silicon retina. The multichip aVLSI architecture used in the present study can be applied to implement higher order cells such as the complex cell of the primary visual cortex. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TNN.2005.849845 | IEEE Transactions on Neural Networks |
Keywords | Field | DocType |
feedforward model,orientation chip,antagonistic receptive field,analog signal,multichip avlsi system,feedforward aggregation,primary visual cortical cell,orientation selective response,complex cell,orientation selectivity,higher order cell,primary visual cortex,silicon retina,electronics,very large scale integration,higher order,chip,neurophysiology,receptive field,silicon,semiconductors,circuits,vlsi,orientation,biomimetics,visual fields,action potentials,image processing | Fixed-pattern noise,Receptive field,Complex cell,Computer science,Neuromorphic engineering,Artificial intelligence,Very-large-scale integration,Computer vision,Visual cortex,Pattern recognition,Simple cell,Chip,Optoelectronics | Journal |
Volume | Issue | ISSN |
16 | 4 | 1045-9227 |
Citations | PageRank | References |
8 | 0.78 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuhiro Shimonomura | 1 | 57 | 13.11 |
| Tetsuya Yagi | 2 | 8 | 0.78 |