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Putting a bug in ML: The moth olfactory network learns to read MNIST

Putting a bug in ML: The moth olfactory network learns to read MNIST

15 February 2018
Charles B. Delahunt
J. Nathan Kutz
ArXivPDFHTML

Papers citing "Putting a bug in ML: The moth olfactory network learns to read MNIST"

4 / 4 papers shown
Title
Power-law Scaling to Assist with Key Challenges in Artificial
  Intelligence
Power-law Scaling to Assist with Key Challenges in Artificial Intelligence
Yuval Meir
Shira Sardi
Shiri Hodassman
Karin Kisos
Itamar Ben-Noam
A. Goldental
Ido Kanter
22
16
0
15 Nov 2022
A Novel Chaos Theory Inspired Neuronal Architecture
A Novel Chaos Theory Inspired Neuronal Architecture
N. Harikrishnan
N. Nagaraj
AI4CE
14
6
0
19 May 2019
Money on the Table: Statistical information ignored by Softmax can
  improve classifier accuracy
Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy
Charles B. Delahunt
C. Mehanian
J. Nathan Kutz
13
1
0
26 Jan 2019
Biological Mechanisms for Learning: A Computational Model of Olfactory
  Learning in the Manduca sexta Moth, with Applications to Neural Nets
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets
Charles B. Delahunt
J. Riffell
J. Nathan Kutz
16
28
0
08 Feb 2018
1