Decoding of Neuronal Signals in Visual Pattern Recognition
Abstract
We have investigated the properties of neurons in inferior temporal (IT) cortex in monkeys performing a pattern matching task. Simple back(cid:173) propagation networks were trained to discriminate the various stimulus conditions on the basis of the measured neuronal signal. We also trained networks to predict the neuronal response waveforms from the spatial pat(cid:173) terns of the stimuli. The results indicate t.hat IT neurons convey tempo(cid:173) rally encoded information about both current and remembered patterns, as well as about their behavioral context.
Cite
Text
Eskandar et al. "Decoding of Neuronal Signals in Visual Pattern Recognition." Neural Information Processing Systems, 1991.Markdown
[Eskandar et al. "Decoding of Neuronal Signals in Visual Pattern Recognition." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/eskandar1991neurips-decoding/)BibTeX
@inproceedings{eskandar1991neurips-decoding,
title = {{Decoding of Neuronal Signals in Visual Pattern Recognition}},
author = {Eskandar, Emad N. and Richmond, Barry J. and Hertz, John A. and Optican, Lance M. and Kjær, Troels W.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {356-363},
url = {https://mlanthology.org/neurips/1991/eskandar1991neurips-decoding/}
}