A new nonconvex variational approach for sensory neurons receptive field estimation

Abstract : Determining the receptive field of a visual sensory neuron is crucial to characterize the region of the visual field and the stimuli this neuron is sensitive to. We propose a new method to estimate receptive fields by a nonconvex variational approach, thus relaxing the simplifying and unrealistic assumption of convexity made by standard approaches. The method consists of solving a relaxed discrete energy minimization problem using a proximal alternating algorithm. We compare our approach with the classical spike-triggered-average technique on simulated data, considering a typical retinal ganglion cell as ground truth. Results show a high improvement in terms of accuracy and convergence with respect to the duration of the experiment.
Document type :
Conference papers
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01379952
Contributor : Audric Drogoul <>
Submitted on : Wednesday, October 12, 2016 - 10:52:37 AM
Last modification on : Thursday, May 3, 2018 - 1:32:58 PM
Long-term archiving on : Saturday, February 4, 2017 - 7:37:38 PM

File

drogoul_NCMIP.pdf
Files produced by the author(s)

Identifiers

Citation

Audric Drogoul, Gilles Aubert, Bruno Cessac, Pierre Kornprobst. A new nonconvex variational approach for sensory neurons receptive field estimation. 6th International Workshop on New Computational Methods for Inverse Problems , May 2016, Cachan, France. pp.12006, ⟨10.1088/1742-6596/756/1/012006⟩. ⟨hal-01379952⟩

Share

Metrics

Record views

445

Files downloads

129