Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs).
Vanga Karunakar ReddySunil Babu MelingiCh. V. M. S. N. Pavan KumarK. Ashok KumarRamesh Kumar MojjadaPublished in: Artif. Intell. Rev. (2023)
Keyphrases
- deep learning
- spike trains
- spiking neurons
- neural network
- neuronal networks
- biologically plausible
- synaptic weights
- unsupervised feature learning
- unsupervised learning
- network architecture
- signal processor
- deep architectures
- machine learning
- action potentials
- feed forward
- neural network model
- restricted boltzmann machine
- spiking neural networks
- mental models
- back propagation
- deep belief networks
- pattern recognition
- weakly supervised
- training data
- training set
- feature selection
- learning algorithm
- hidden layer
- signal processing
- supervised learning
- support vector machine
- feature space
- object recognition
- real time