Silicon Growth Cones mAP Silicon Retina
Abstract
We demonstrate the first fully hardware implementation of retinotopic self-organization, from photon transduction to neural map formation. A silicon retina transduces patterned illumination into correlated spike trains that drive a population of silicon growth cones to automatically wire a topographic mapping by migrating toward sources of a diffusible guidance cue that is released by postsynaptic spikes. We varied the pat- tern of illumination to steer growth cones projected by different retinal ganglion cell types to self-organize segregated or coordinated retinotopic maps.
Cite
Text
Taba and Boahen. "Silicon Growth Cones mAP Silicon Retina." Neural Information Processing Systems, 2005.Markdown
[Taba and Boahen. "Silicon Growth Cones mAP Silicon Retina." Neural Information Processing Systems, 2005.](https://mlanthology.org/neurips/2005/taba2005neurips-silicon/)BibTeX
@inproceedings{taba2005neurips-silicon,
title = {{Silicon Growth Cones mAP Silicon Retina}},
author = {Taba, Brian and Boahen, Kwabena},
booktitle = {Neural Information Processing Systems},
year = {2005},
pages = {1329-1336},
url = {https://mlanthology.org/neurips/2005/taba2005neurips-silicon/}
}