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Spatiotemporal Response Properties of Optic-Flow Processing Neurons
- Source :
-
Neuron . Aug2010, Vol. 67 Issue 4, p629-642. 14p. - Publication Year :
- 2010
-
Abstract
- Summary: A central goal in sensory neuroscience is to fully characterize a neuron''s input-output relation. However, strong nonlinearities in the responses of sensory neurons have made it difficult to develop models that generalize to arbitrary stimuli. Typically, the standard linear-nonlinear models break down when neurons exhibit stimulus-dependent modulations of their gain or selectivity. We studied these issues in optic-flow processing neurons in the fly. We found that the neurons'' receptive fields are fully described by a time-varying vector field that is space-time separable. Increasing the stimulus strength, however, strongly reduces the neurons'' gain and selectivity. To capture these changes in response behavior, we extended the linear-nonlinear model by a biophysically motivated gain and selectivity mechanism. We fit all model parameters directly to the data and show that the model now characterizes the neurons'' input-output relation well over the full range of motion stimuli. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08966273
- Volume :
- 67
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Neuron
- Publication Type :
- Academic Journal
- Accession number :
- 53334264
- Full Text :
- https://doi.org/10.1016/j.neuron.2010.07.017