Analysis of neuronal spike trains, deconstructed
As information flows through the brain, neuronal firing progresses from encoding the world
as sensed by the animal to driving the motor output of subsequent behavior. One of the more …
as sensed by the animal to driving the motor output of subsequent behavior. One of the more …
[HTML][HTML] Retinal receptive-field substructure: scaffolding for coding and computation
SJ Zapp, S Nitsche, T Gollisch - Trends in Neurosciences, 2022 - cell.com
The center-surround receptive field of retinal ganglion cells represents a fundamental
concept for how the retina processes and encodes visual information. Yet, traditional …
concept for how the retina processes and encodes visual information. Yet, traditional …
Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization
Neurons in sensory systems often pool inputs over arrays of presynaptic cells, giving rise to
functional subunits inside a neuron's receptive field. The organization of these subunits …
functional subunits inside a neuron's receptive field. The organization of these subunits …
Computational identification of receptive fields
TO Sharpee - Annual review of neuroscience, 2013 - annualreviews.org
Natural stimuli elicit robust responses of neurons throughout sensory pathways, and
therefore their use provides unique opportunities for understanding sensory coding. This …
therefore their use provides unique opportunities for understanding sensory coding. This …
Spectral methods for neural characterization using generalized quadratic models
We describe a set of fast, tractable methods for characterizing neural responses to high-
dimensional sensory stimuli using a model we refer to as the generalized quadratic model …
dimensional sensory stimuli using a model we refer to as the generalized quadratic model …
Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina
JK Liu, T Gollisch - PLoS computational biology, 2015 - journals.plos.org
When visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as
well as their temporal filtering characteristics. The latter has classically been described by …
well as their temporal filtering characteristics. The latter has classically been described by …
[HTML][HTML] Features and functions of nonlinear spatial integration by retinal ganglion cells
T Gollisch - Journal of Physiology-Paris, 2013 - Elsevier
Ganglion cells in the vertebrate retina integrate visual information over their receptive fields.
They do so by pooling presynaptic excitatory inputs from typically many bipolar cells, which …
They do so by pooling presynaptic excitatory inputs from typically many bipolar cells, which …
Accuracy maximization analysis for sensory-perceptual tasks: Computational improvements, filter robustness, and coding advantages for scaled additive noise
Accuracy Maximization Analysis (AMA) is a recently developed Bayesian ideal observer
method for task-specific dimensionality reduction. Given a training set of proximal stimuli (eg …
method for task-specific dimensionality reduction. Given a training set of proximal stimuli (eg …
Functional characterization of retinal ganglion cells using tailored nonlinear modeling
The mammalian retina encodes the visual world in action potentials generated by 20–50
functionally and anatomically-distinct types of retinal ganglion cell (RGC). Individual RGC …
functionally and anatomically-distinct types of retinal ganglion cell (RGC). Individual RGC …
A simple and accurate model to predict responses to multi-electrode stimulation in the retina
Implantable electrode arrays are widely used in therapeutic stimulation of the nervous
system (eg cochlear, retinal, and cortical implants). Currently, most neural prostheses use …
system (eg cochlear, retinal, and cortical implants). Currently, most neural prostheses use …