Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency.
Marcos FabiettiMufti MahmudAhmad LotfiPublished in: AII (2021)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- anomalous behavior
- detecting anomalies
- band limited
- network intrusion detection
- network anomaly detection
- network traffic
- unsupervised anomaly detection
- artificial neural networks
- computer security
- behavior analysis
- one class support vector machines
- intrusion detection system
- spike trains
- detect anomalies
- negative selection algorithm
- machine learning
- genetic algorithm
- network intrusion
- action potentials
- normal behavior
- probabilistic model
- maximum entropy
- unsupervised learning
- connectionist systems
- data sets
- detecting anomalous
- pattern recognition
- malware detection
- network security