A Generalized Linear Model for Estimating Spectrotemporal Receptive Fields from Responses to Natural Sounds
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DOI: 10.1371/journal.pone.0016104
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Cited by:
- Ivar L Thorson & Jean LiƩnard & Stephen V David, 2015. "The Essential Complexity of Auditory Receptive Fields," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-33, December.
- Mehrad Sarmashghi & Shantanu P Jadhav & Uri Eden, 2021. "Efficient spline regression for neural spiking data," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-19, October.
- Amir Akbarian & Kelsey Clark & Behrad Noudoost & Neda Nategh, 2021. "A sensory memory to preserve visual representations across eye movements," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
- Michael A Carlin & Mounya Elhilali, 2013. "Sustained Firing of Model Central Auditory Neurons Yields a Discriminative Spectro-temporal Representation for Natural Sounds," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-18, March.
- James M McFarland & Yuwei Cui & Daniel A Butts, 2013. "Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs," PLOS Computational Biology, Public Library of Science, vol. 9(7), pages 1-18, July.
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