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Priority coding in the visual system
Although we are continuously bombarded with visual input, only a fraction of incoming visual
events is perceived, remembered or acted on. The neural underpinnings of various forms of …
events is perceived, remembered or acted on. The neural underpinnings of various forms of …
Information processing in living systems
Life depends as much on the flow of information as on the flow of energy. Here we review
the many efforts to make this intuition precise. Starting with the building blocks of information …
the many efforts to make this intuition precise. Starting with the building blocks of information …
Models of neuronal stimulus-response functions: elaboration, estimation, and evaluation
Rich, dynamic, and dense sensory stimuli are encoded within the nervous system by the
time-varying activity of many individual neurons. A fundamental approach to understanding …
time-varying activity of many individual neurons. A fundamental approach to understanding …
[HTML][HTML] Inference of nonlinear receptive field subunits with spike-triggered clustering
Responses of sensory neurons are often modeled using a weighted combination of rectified
linear subunits. Since these subunits often cannot be measured directly, a flexible method is …
linear subunits. Since these subunits often cannot be measured directly, a flexible method is …
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 …
Orthogonal neural representations support perceptual judgments of natural stimuli
In natural visually guided behavior, observers must separate relevant information from a
barrage of irrelevant information. Many studies have investigated the neural underpinnings …
barrage of irrelevant information. Many studies have investigated the neural underpinnings …
Toward functional classification of neuronal types
TO Sharpee - Neuron, 2014 - cell.com
How many types of neurons are there in the brain? This basic neuroscience question
remains unsettled despite many decades of research. Classification schemes have been …
remains unsettled despite many decades of research. Classification schemes have been …
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction
Stimulus dimensionality-reduction methods in neuroscience seek to identify a low-
dimensional space of stimulus features that affect a neuron's probability of spiking. One …
dimensional space of stimulus features that affect a neuron's probability of spiking. One …
Beyond GLMs: a generative mixture modeling approach to neural system identification
Generalized linear models (GLMs) represent a popular choice for the probabilistic
characterization of neural spike responses. While GLMs are attractive for their computational …
characterization of neural spike responses. While GLMs are attractive for their computational …