Spatiotemporal properties of microsaccades: Model predictions and experimental tests
Autor: | Wu-Jie Yuan, Zhao Zhou, Jian-Fang Zhou |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Visual perception Computer science Models Neurological Computer Science::Neural and Evolutionary Computation Fixation Ocular Article 03 medical and health sciences Ocular physiology 0302 clinical medicine Saccades Humans Attention Small eye Neurons Multidisciplinary Quantitative Biology::Neurons and Cognition Artificial neural network Models Theoretical Retinal adaptation 030104 developmental biology Fixation (visual) Visual Perception Microsaccade Neuroscience 030217 neurology & neurosurgery |
Zdroj: | Scientific Reports |
ISSN: | 2045-2322 |
DOI: | 10.1038/srep35255 |
Popis: | Microsaccades are involuntary and very small eye movements during fixation. Recently, the microsaccade-related neural dynamics have been extensively investigated both in experiments and by constructing neural network models. Experimentally, microsaccades also exhibit many behavioral properties. It’s well known that the behavior properties imply the underlying neural dynamical mechanisms, and so are determined by neural dynamics. The behavioral properties resulted from neural responses to microsaccades, however, are not yet understood and are rarely studied theoretically. Linking neural dynamics to behavior is one of the central goals of neuroscience. In this paper, we provide behavior predictions on spatiotemporal properties of microsaccades according to microsaccade-induced neural dynamics in a cascading network model, which includes both retinal adaptation and short-term depression (STD) at thalamocortical synapses. We also successfully give experimental tests in the statistical sense. Our results provide the first behavior description of microsaccades based on neural dynamics induced by behaving activity, and so firstly link neural dynamics to behavior of microsaccades. These results indicate strongly that the cascading adaptations play an important role in the study of microsaccades. Our work may be useful for further investigations of the microsaccadic behavioral properties and of the underlying neural dynamical mechanisms responsible for the behavioral properties. |
Databáze: | OpenAIRE |
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