Omitted variable bias in GLMs of neural spiking activity
IH Stevenson - Neural computation, 2018 - direct.mit.edu
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
Omitted variable bias in glms of neural spiking activity
IH Stevenson - Neural Computation, 2018 - dl.acm.org
Generalized linear models GLMs have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
Omitted Variable Bias in GLMs of Neural Spiking Activity
IH Stevenson - Neural Computation, 2018 - cir.nii.ac.jp
抄録< jats: p> Generalized linear models (GLMs) have a wide range of applications in
systems neuroscience describing the encoding of stimulus and behavioral variables, as well …
systems neuroscience describing the encoding of stimulus and behavioral variables, as well …
[PDF][PDF] Omitted Variable Bias in GLMs of Neural Spiking Activity
IH Stevenson - Neural Computation, 2018 - stevenson.lab.uconn.edu
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
Omitted Variable Bias in GLMs of Neural Spiking Activity
IH Stevenson - Neural computation, 2018 - pubmed.ncbi.nlm.nih.gov
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
Omitted Variable Bias in GLMs of Neural Spiking Activity
IH Stevenson - Neural Computation, 2018 - ieeexplore.ieee.org
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
Omitted variable bias in GLMs of neural spiking activity
IH Stevenson - bioRxiv, 2018 - biorxiv.org
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables as well as the …
neuroscience describing the encoding of stimulus and behavioral variables as well as the …
Omitted Variable Bias in GLMs of Neural Spiking Activity.
IH Stevenson - Neural Computation, 2018 - europepmc.org
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
neuroscience describing the encoding of stimulus and behavioral variables, as well as the …
[PDF][PDF] Omitted variable bias in GLMs of neural spiking activity
IH Stevenson - scholar.archive.org
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience 7 describing the encoding of stimulus and behavioral variables as well as the …
neuroscience 7 describing the encoding of stimulus and behavioral variables as well as the …
Omitted variable bias in GLMs of neural spiking activity
IH Stevenson - 2018 - europepmc.org
Generalized linear models (GLMs) have a wide range of applications in systems
neuroscience describing the encoding of stimulus and behavioral variables as well as the …
neuroscience describing the encoding of stimulus and behavioral variables as well as the …