Response sub-additivity and variability quenching in visual cortex

RLT Goris, R Coen-Cagli, KD Miller… - Nature Reviews …, 2024 - nature.com
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 …

A unified framework for perceived magnitude and discriminability of sensory stimuli

J Zhou, LR Duong… - Proceedings of the …, 2024 - National Acad Sciences
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 …

A flow-based latent state generative model of neural population responses to natural images

M Bashiri, E Walker, KK Lurz… - Advances in …, 2021 - proceedings.neurips.cc
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 …

Neuronal variability reflects probabilistic inference tuned to natural image statistics

D Festa, A Aschner, A Davila, A Kohn… - Nature …, 2021 - nature.com
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 …

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 …

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 …

Discrete stepping and nonlinear ramping dynamics underlie spiking responses of LIP neurons during decision-making

DM Zoltowski, KW Latimer, JL Yates, AC Huk… - Neuron, 2019 - cell.com
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 …

Review of data processing of functional optical microscopy for neuroscience

H Benisty, A Song, G Mishne, AS Charles - Neurophotonics, 2022 - spiedigitallibrary.org
Functional optical imaging in neuroscience is rapidly growing with the development of
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 …

A universal probabilistic spike count model reveals ongoing modulation of neural variability

D Liu, M Lengyel - Advances in Neural Information …, 2021 - proceedings.neurips.cc
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 …