RESUMO
A fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.
Assuntos
Córtex Auditivo , Interneurônios , Células Receptoras Sensoriais , Estimulação Acústica , Potenciais de Ação/fisiologia , Córtex Auditivo/fisiologiaRESUMO
An overview is presented on research conducted in our lab to quantify the underlying principles behind the recognition of temporal patterns. We have been developing a theory based upon pattern matching and time-series analysis, which allows us to model and understand how humans recognize familiar patterns evolving over time and how performance degrades with noise. While our studies are primarily scientific in nature, the work has application beyond the elucidation of psychological and physiological mechanisms. We illustrate an application of these ideas to computer-based human identification through gait analysis. This study also illustrates a novel approach to interdisciplinary research by integrating experimental psychology with that of engineering design.
Assuntos
Atenção , Engenharia Biomédica , Aprendizagem por Discriminação , Marcha , Processamento de Sinais Assistido por Computador , Percepção do Tempo , Algoritmos , Formação de Conceito , Antropologia Forense , Humanos , Cadeias de Markov , Percepção de Movimento , Redes Neurais de Computação , SoftwareRESUMO
A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in detection sensitivity is greater for coherent motion of structured forms than for random coherent motion. In this preliminary study, a recent experiment was simulated with the model and the results are shown to be in agreement with the above premise. This model can be extended to be part of a more complex and elaborate computational visual system.