Priority coding in the visual system

NC Rust, MR Cohen - Nature Reviews Neuroscience, 2022 - nature.com
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 …

Information processing in living systems

G Tkačik, W Bialek - Annual Review of Condensed Matter …, 2016 - annualreviews.org
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 …

Models of neuronal stimulus-response functions: elaboration, estimation, and evaluation

AF Meyer, RS Williamson, JF Linden… - Frontiers in systems …, 2017 - frontiersin.org
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 …

[HTML][HTML] Inference of nonlinear receptive field subunits with spike-triggered clustering

NP Shah, N Brackbill, C Rhoades, A Kling, G Goetz… - Elife, 2020 - elifesciences.org
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 …

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 …

Spectral methods for neural characterization using generalized quadratic models

IM Park, EW Archer, N Priebe… - Advances in neural …, 2013 - proceedings.neurips.cc
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 …

Orthogonal neural representations support perceptual judgments of natural stimuli

R Srinath, AM Ni, C Marucci, MR Cohen… - Scientific Reports, 2025 - nature.com
In natural visually guided behavior, observers must separate relevant information from a
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 …

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction

RS Williamson, M Sahani, JW Pillow - PLoS computational …, 2015 - journals.plos.org
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 …

Beyond GLMs: a generative mixture modeling approach to neural system identification

L Theis, AM Chagas, D Arnstein… - PLoS computational …, 2013 - journals.plos.org
Generalized linear models (GLMs) represent a popular choice for the probabilistic
characterization of neural spike responses. While GLMs are attractive for their computational …