Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation.
Xiaohe XueRalf D. WimmerMichael M. HalassaZhe Sage ChenPublished in: Cogn. Comput. (2023)
Keyphrases
- recurrent neural networks
- hebbian learning
- feed forward
- neural model
- recurrent networks
- neural network
- neural models
- neuron model
- biologically plausible
- reservoir computing
- artificial neural networks
- echo state networks
- hidden layer
- complex valued
- spiking neural networks
- long short term memory
- bio inspired
- hidden markov models
- spiking neurons
- back propagation
- cascade correlation
- learning rules
- spike trains
- network architecture
- basal ganglia
- sequential patterns