48 citations · 63 across the 4 of their papers we have counts for
4 papers
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
Nan Wu, Isabel Valera, Fabian Sinz +3
Neural population responses in sensory systems are driven by external physical stimuli. This stimulus-response relationship is typically characterized by receptive fields, which ha…
Estimating smooth and sparse neural receptive fields with a flexible spline basis
Ziwei Huang, Yanli Ran, Jonathan Oesterle +2
Spatio-temporal receptive field (STRF) models are frequently used to approximate the computation implemented by a sensory neuron. Typically, such STRFs are assumed to be smooth and…
Neural system identification for large populations separating "what" and "where"
David A. Klindt, Alexander S. Ecker, Thomas Euler +1
Neuroscientists classify neurons into different types that perform similar computations at different locations in the visual field. Traditional methods for neural system identifica…
Supervised learning sets benchmark for robust spike detection from calcium imaging signals
Lucas Theis, Philipp Berens, Emmanouil Froudarakis +6
A fundamental challenge in calcium imaging has been to infer the timing of action potentials from the measured noisy calcium fluorescence traces. We systematically evaluate a range…