Response sub-additivity and variability quenching in visual cortex
Sub-additivity and variability are ubiquitous response motifs in the primary visual cortex (V1).
Response sub-additivity enables the construction of useful interpretations of the visual …
Response sub-additivity enables the construction of useful interpretations of the visual …
A unified framework for perceived magnitude and discriminability of sensory stimuli
The perception of sensory attributes is often quantified through measurements of sensitivity
(the ability to detect small stimulus changes), as well as through direct judgments of …
(the ability to detect small stimulus changes), as well as through direct judgments of …
A flow-based latent state generative model of neural population responses to natural images
We present a joint deep neural system identification model for two major sources of neural
variability: stimulus-driven and stimulus-conditioned fluctuations. To this end, we combine …
variability: stimulus-driven and stimulus-conditioned fluctuations. To this end, we combine …
Neuronal variability reflects probabilistic inference tuned to natural image statistics
Neuronal activity in sensory cortex fluctuates over time and across repetitions of the same
input. This variability is often considered detrimental to neural coding. The theory of neural …
input. This variability is often considered detrimental to neural coding. The theory of neural …
Transformations of sensory information in the brain suggest changing criteria for optimality
TS Manning, E Alexander, BG Cumming… - PLOS Computational …, 2024 - journals.plos.org
Neurons throughout the brain modulate their firing rate lawfully in response to sensory input.
Theories of neural computation posit that these modulations reflect the outcome of a …
Theories of neural computation posit that these modulations reflect the outcome of a …
Fano factor: a potentially useful information
K Rajdl, P Lansky, L Kostal - Frontiers in computational neuroscience, 2020 - frontiersin.org
The Fano factor, defined as the variance-to-mean ratio of spike counts in a time window, is
often used to measure the variability of neuronal spike trains. However, despite its …
often used to measure the variability of neuronal spike trains. However, despite its …
Discrete stepping and nonlinear ramping dynamics underlie spiking responses of LIP neurons during decision-making
Neurons in LIP exhibit ramping trial-averaged responses during decision-making. Recent
work sparked debate over whether single-trial LIP spike trains are better described by …
work sparked debate over whether single-trial LIP spike trains are better described by …
Review of data processing of functional optical microscopy for neuroscience
Functional optical imaging in neuroscience is rapidly growing with the development of
optical systems and fluorescence indicators. To realize the potential of these massive …
optical systems and fluorescence indicators. To realize the potential of these massive …
Relating divisive normalization to neuronal response variability
R Coen-Cagli, SS Solomon - Journal of Neuroscience, 2019 - Soc Neuroscience
Cortical responses to repeated presentations of a sensory stimulus are variable. This
variability is sensitive to several stimulus dimensions, suggesting that it may carry useful …
variability is sensitive to several stimulus dimensions, suggesting that it may carry useful …
A universal probabilistic spike count model reveals ongoing modulation of neural variability
Neural responses are variable: even under identical experimental conditions, single neuron
and population responses typically differ from trial to trial and across time. Recent work has …
and population responses typically differ from trial to trial and across time. Recent work has …