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Unifying Time to Contact Estimation and Collision Avoidance across Species
The [Image: see text]-function and the [Image: see text]-function are phenomenological models that are widely used in the context of timing interceptive actions and collision avoidance, respectively. Both models were previously considered to be unrelated to each other: [Image: see text] is a decreas...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420976/ https://www.ncbi.nlm.nih.gov/pubmed/22915999 http://dx.doi.org/10.1371/journal.pcbi.1002625 |
Sumario: | The [Image: see text]-function and the [Image: see text]-function are phenomenological models that are widely used in the context of timing interceptive actions and collision avoidance, respectively. Both models were previously considered to be unrelated to each other: [Image: see text] is a decreasing function that provides an estimation of time-to-contact (ttc) in the early phase of an object approach; in contrast, [Image: see text] has a maximum before ttc. Furthermore, it is not clear how both functions could be implemented at the neuronal level in a biophysically plausible fashion. Here we propose a new framework – the corrected modified Tau function – capable of predicting both [Image: see text]-type (“[Image: see text]”) and [Image: see text]-type (“[Image: see text]”) responses. The outstanding property of our new framework is its resilience to noise. We show that [Image: see text] can be derived from a firing rate equation, and, as [Image: see text], serves to describe the response curves of collision sensitive neurons. Furthermore, we show that [Image: see text] predicts the psychophysical performance of subjects determining ttc. Our new framework is thus validated successfully against published and novel experimental data. Within the framework, links between [Image: see text]-type and [Image: see text]-type neurons are established. Therefore, it could possibly serve as a model for explaining the co-occurrence of such neurons in the brain. |
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