Extracting the dynamics of perceptual switching from 'noisy' behaviour: An application of hidden Markov modelling to pecking data from pigeons

Keyphrases

• Pecking 100%
• Perceptual Switching 100%
• Hidden Markov Modeling 100%
• Pigeon 100%
• Perceptual States 100%
• Non-observable 66%
• Renewal Process 66%
• Response Time 33%
• Hidden Markov Model 33%
• Phenomenological Models 33%
• State Transition 33%
• Two-step Approach 33%
• Motor Response 33%
• Behavioral Response 33%
• Perceptual Reversal 33%
• Orthogonal Directions 33%
• Animal Perception 33%
• Bistable Stimuli 33%
• Maximum Likelihood Estimation 33%
• Apparent Motion 33%
• Relevant Parameters 33%
• Behavioral Data 33%
• Generative Stochastic Models 33%
• Selective Neuron 33%
• Covert 33%
• Markovian 33%
• Inhibitory Population 33%
• Perceptual Dynamics 33%
• Animal Performance 33%
• Perceptual Event 33%
• Motor Dynamics 33%
• Perceptual Changes 33%
• Error Probability 33%

Mathematics

• Time Series 100%
• Time Series Analysis 100%
• Renewal Process 66%
• Stochastic Model 33%
• Hidden Markov Model 33%
• Maximum Likelihood 33%
• Response Time 33%
• State Transition 33%
• Probability 33%

Computer Science

• Perceptual State 100%
• Renewal Process 66%
• maximum-likelihood 33%
• Stochastic Model 33%
• State Transition 33%
• Likelihood Estimation 33%
• Response Time 33%
• Behavioral Data 33%
• Behavioral Response 33%
• Probability 33%