DEEP Neural Networks
show how the brain is wired
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PDF files. A PDF version of [1] is included here because only the abstract is available online unless you have a journal subscription. The PDF versions of [2] and [3] are included because they are formatted somewhat better than the online versions. These PDF versions can be downloaded from the online sites.
FFD etymology. The cumbersome name "Recursive AND NOT Conjunction" (RANC) for the logic circuits in [2] and [3] was replaced here by the simpler and more descriptive "Fast Fuzzy Decoder" when I learned that the network I had designed is called a "decoder" by engineers. The design for color vision and olfaction is radically different from (and simpler and more efficient than) the standard decoder design for electronic computational systems, which is not capable of the type of fuzzy logic required for color vision and olfaction.
Black & white upgrade. The networks that produce the black and white outputs for the color vision model in [1] were refined and extended in [2]. Olfaction was also added.
1. Yoder, L. Relative Absorption Model of Color Vision. Color Research and Application 30 (2005), 252–264.
2. Yoder, L. Explicit Logic Circuits Discriminate Neural States. PLoS ONE 4 (2009), e4154. doi:10.1371/journal.pone.0004154
Academic Editor’s online comments
3. Yoder, L. Explicit Logic Circuits Predict Local Properties of the Neocortex’s Physiology and Anatomy. PLoS ONE 5 (2010), e9227. doi:10.1371/journal.pone.0009227
Summary of a reviewer’s online comments on the article's significance
4. Yoder L. Neural Flip-Flops I: Short-Term Memory. PLoS ONE. 2024 Mar 15; 19(3): e0300534.
5. Yoder L. Neural Flip-Flops II: Short-Term Memory and Electroencephalography. bioRxiv. 2020 June 24:168419.
View the preprint (HTML full text).
6. Yoder L. Neural Flip-Flops III: Stomatogastric Ganglion. bioRxiv. 2020 Nov 29:403154.
View the preprint (HTML full text).
7. Yoder L. Neural Flip-Flops IV: Lamprey Locomotion. TechRxiv. 2021 Mar 1:14110340.
8. Yoder L. Form Follows Function: A Different Approach to Neuron Connectivity. arXiv. 2023 Jun 6:2306.03337.