Stimulus detection rate and latency, firing rates and 1-40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model.
Mikael LundqvistPawel Andrzej HermanJ. Matias PalvaSatu PalvaDavid SilversteinAnders LansnerPublished in: NeuroImage (2013)
Keyphrases
- network model
- detection rate
- true positive
- face detection
- false positives
- false alarm rate
- detection algorithm
- false alarms
- false positive rate
- cellular automata
- immune algorithm
- number of false positives
- low false positive rate
- detection accuracy
- false detection rate
- power consumption
- computational cost
- pedestrian detection
- low false alarm rate
- neural network
- high detection rate
- false negative rate
- frame rate
- dynamical systems
- object detection
- fixed point
- accuracy rate
- pairwise
- detection method
- high speed
- true positive rate
- recognition rate
- social networks
- genetic algorithm
- number of false alarms
- machine learning