Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease.
Claudia BachmannTom TetzlaffRenato C. DuarteAbigail MorrisonPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- artificial neural networks
- recurrent networks
- echo state networks
- complex valued
- feedforward neural networks
- neural model
- synaptic weights
- early diagnosis
- cascade correlation
- long short term memory
- reservoir computing
- hidden layer
- computer aided diagnosis
- artificial intelligence
- hebbian learning
- chaotic time series
- error propagation