Feedforward neural structures in binary hypothesis testing.
Stella N. BatalamaAchilles G. KoyiantisP. Papantoni-KazakosDemetrios KazakosPublished in: IEEE Trans. Commun. (1993)
Keyphrases
- hypothesis testing
- feed forward
- biologically plausible
- neural architecture
- artificial neural
- neural network
- back propagation
- neuron model
- neural nets
- recurrent networks
- artificial neural networks
- likelihood ratio
- recurrent neural networks
- anatomical knowledge
- network architecture
- spiking neural networks
- visual cortex
- hidden layer
- statistical tests
- hypothesis test
- null hypothesis
- robust statistical
- spiking neurons
- activation function
- biologically inspired
- confidence intervals
- primate visual cortex
- test statistic
- adaptive neural
- likelihood ratio test
- fuzzy logic