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Stimulus domain transfer in recurrent models for large scale cortical population prediction on video

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1 of the 32 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.7554/elife.12248 (notice 2018-04-12).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10827-018-0687-7openalex-snapshot

Convolutional neural network models of V1 responses to complex patterns

inferredcites →https://doi.org/10.1016/j.cell.2014.01.050openalex-snapshot

A Cortical Circuit for Gain Control by Behavioral State

inferredcites →https://doi.org/10.1016/j.neunet.2004.03.008openalex-snapshot

Nonlinear V1 responses to natural scenes revealed by neural network analysis

inferredcites →https://doi.org/10.1016/j.neuron.2010.01.033openalex-snapshot

Modulation of Visual Responses by Behavioral State in Mouse Visual Cortex

inferredcites →https://doi.org/10.1016/j.neuron.2014.02.006openalex-snapshot

State Dependence of Noise Correlations in Macaque Primary Visual Cortex

inferredcites →https://doi.org/10.1016/j.neuron.2014.09.033openalex-snapshot

Pupil Fluctuations Track Fast Switching of Cortical States during Quiet Wakefulness

inferredcites →https://doi.org/10.1016/j.neuron.2015.09.012openalex-snapshot

Waking State: Rapid Variations Modulate Neural and Behavioral Responses

inferredcites →https://doi.org/10.1016/j.neuron.2015.11.037openalex-snapshot

Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data

inferredcites →https://doi.org/10.1038/331679a0openalex-snapshot

A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons

inferredcites →https://doi.org/10.1038/nature07150openalex-snapshot

Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice

inferredcites →https://doi.org/10.1038/nn.2861openalex-snapshot

Adaptation of the simple or complex nature of V1 receptive fields to visual statistics

inferredcites →https://doi.org/10.1073/pnas.122173799openalex-snapshot

Computational subunits of visual cortical neurons revealed by artificial neural networks

inferredcites →https://doi.org/10.1080/09548980500464030openalex-snapshot

Predicting neuronal responses during natural vision

inferredcites →https://doi.org/10.1101/031658openalex-snapshot

DataJoint: managing big scientific data using MATLAB or Python

inferredcites →https://doi.org/10.1101/306019openalex-snapshot

Spontaneous behaviors drive multidimensional, brain-wide activity

inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot

Large-Scale Video Classification with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/mcse.2011.37openalex-snapshot

The NumPy Array: A Structure for Efficient Numerical Computation

inferredcites →https://doi.org/10.1167/iovs.09-4072openalex-snapshot

Three-Dimensional Optokinetic Eye Movements in the C57BL/6J Mouse

inferredcites →https://doi.org/10.1371/journal.pcbi.1004927openalex-snapshot

Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes

inferredcites →https://doi.org/10.1371/journal.pcbi.1006897openalex-snapshot

Deep convolutional models improve predictions of macaque V1 responses to natural images

inferredcites →https://doi.org/10.1523/jneurosci.12-09-03568.1992openalex-snapshot

Predicting responses of nonlinear neurons in monkey striate cortex to complex patterns

inferredcites →https://doi.org/10.1523/jneurosci.1422-04.2004openalex-snapshot

Natural Stimulus Statistics Alter the Receptive Field Structure of V1 Neurons

inferredcites →https://doi.org/10.1523/jneurosci.2815-13.2015openalex-snapshot

A Convolutional Subunit Model for Neuronal Responses in Macaque V1

inferredcites →https://doi.org/10.1523/jneurosci.6801-10.2011openalex-snapshot

A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

inferredcites →https://doi.org/10.3233/978-1-61499-672-9-1760openalex-snapshot

Stochastic Area Pooling for Generic Convolutional Neural Network

inferredcites →https://doi.org/10.3389/fnins.2010.00193openalex-snapshot

A Self-Calibrating, Camera-Based Eye Tracker for the Recording of Rodent Eye Movements

inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.48550/arxiv.1608.06315openalex-snapshot

LFADS - Latent Factor Analysis via Dynamical Systems

inferredcites →https://doi.org/10.48550/arxiv.1711.02653openalex-snapshot

Neural system identification for large populations separating "what" and "where"

inferredcites →https://doi.org/10.7554/elife.12248openalex-snapshot

RETRACTED: A mathematical model explains saturating axon guidance responses to molecular gradients

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.cell.2024.08.051openalex-snapshot

Decoding the brain: From neural representations to mechanistic models

inferred← citeshttps://doi.org/10.1016/j.celrep.2024.114639openalex-snapshot

Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates

inferred← citeshttps://doi.org/10.1016/j.neuron.2019.08.034openalex-snapshot

Engineering a Less Artificial Intelligence

inferred← citeshttps://doi.org/10.1038/s41586-025-08790-wopenalex-snapshot

Functional connectomics spanning multiple areas of mouse visual cortex

inferred← citeshttps://doi.org/10.1038/s41586-025-08829-yopenalex-snapshot

Foundation model of neural activity predicts response to new stimulus types

inferred← citeshttps://doi.org/10.1038/s41593-019-0517-xopenalex-snapshot

Inception loops discover what excites neurons most using deep predictive models

inferred← citeshttps://doi.org/10.1038/s41598-025-34141-wopenalex-snapshot

Pixel-level understanding of a world in motion within a neural encoding framework

inferred← citeshttps://doi.org/10.1088/1742-5468/adde43openalex-snapshot

Beyond single neurons: population response geometry in digital twins of mouse visual cortex*

inferred← citeshttps://doi.org/10.1101/2020.10.05.326256openalex-snapshot

Generalization in data-driven models of primary visual cortex

inferred← citeshttps://doi.org/10.1101/2021.07.28.454025openalex-snapshot

Functional connectomics spanning multiple areas of mouse visual cortex

inferred← citeshttps://doi.org/10.1101/2021.09.03.458870openalex-snapshot

Behavioral state tunes mouse vision to ethological features through pupil dilation

inferred← citeshttps://doi.org/10.1101/2021.09.09.459570openalex-snapshot

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

inferred← citeshttps://doi.org/10.1101/2021.10.29.466492openalex-snapshot

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

inferred← citeshttps://doi.org/10.1101/2022.02.10.479884openalex-snapshot

Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex

inferred← citeshttps://doi.org/10.1101/2022.05.18.492503openalex-snapshot

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks

inferred← citeshttps://doi.org/10.1101/2022.12.09.519708openalex-snapshot

It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers

inferred← citeshttps://doi.org/10.1101/2023.03.13.532473openalex-snapshot

Pattern completion and disruption characterize contextual modulation in the visual cortex

inferred← citeshttps://doi.org/10.1101/2023.03.15.532836openalex-snapshot

Bipartite invariance in mouse primary visual cortex

inferred← citeshttps://doi.org/10.1101/2023.03.21.533548openalex-snapshot

Foundation model of neural activity predicts response to new stimulus types and anatomy

inferred← citeshttps://doi.org/10.1101/2023.05.30.542912openalex-snapshot

Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice

inferred← citeshttps://doi.org/10.1101/2024.03.06.583740openalex-snapshot

A systematic comparison of predictive models on the retina

inferred← citeshttps://doi.org/10.1101/2025.03.07.642012openalex-snapshot

The openretina Project: Collaborative Retina Modelling Across Datasets and Species

inferred← citeshttps://doi.org/10.1101/2025.11.12.688136openalex-snapshot

MindSight: A Bio-Inspired Neural Architecture for Visual Restoration via Cortical Electrical Stimulation

inferred← citeshttps://doi.org/10.1101/506956openalex-snapshot

Inception in visual cortex: in vivo-silico loops reveal most exciting images

inferred← citeshttps://doi.org/10.1126/sciadv.abe7547openalex-snapshot

Cortical response to naturalistic stimuli is largely predictable with deep neural networks

inferred← citeshttps://doi.org/10.1134/s0022093025060080openalex-snapshot

Using Artificial Intelligence Systems in Modern Neurobehavioral Research

inferred← citeshttps://doi.org/10.1162/jocn_a_01544openalex-snapshot

Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008558openalex-snapshot

End-to-end neural system identification with neural information flow

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1009028openalex-snapshot

Learning divisive normalization in primary visual cortex

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011037openalex-snapshot

Efficient coding of natural scenes improves neural system identification

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011110openalex-snapshot

A convolutional neural network provides a generalizable model of natural sound coding by neural populations in auditory cortex

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1012056openalex-snapshot

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks

inferred← citeshttps://doi.org/10.1523/eneuro.0060-26.2026openalex-snapshot

Spatial Adaptation of Primate Retinal Ganglion Cells Between Artificial and Natural Stimuli

inferred← citeshttps://doi.org/10.48550/arxiv.2005.11362openalex-snapshot

Stable and expressive recurrent vision models

inferred← citeshttps://doi.org/10.48550/arxiv.2006.11412openalex-snapshot

High-contrast "gaudy" images improve the training of deep neural network models of visual cortex

inferred← citeshttps://doi.org/10.48550/arxiv.2010.11810openalex-snapshot

Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses

inferred← citeshttps://doi.org/10.52202/075280-1414openalex-snapshot

Energy Guided Diffusion for Generating Neurally Exciting Images

inferred← citeshttps://doi.org/10.64898/2026.04.15.718783openalex-snapshot

The functional organization of retinal input to the mouse superior colliculus

inferred← citeshttps://doi.org/10.7554/elife.105081openalex-snapshot

Movie reconstruction from mouse visual cortex activity

inferred← citeshttps://doi.org/10.7554/elife.105081.1openalex-snapshot

Movie reconstruction from mouse visual cortex activity

inferred← citeshttps://doi.org/10.7554/elife.105081.3openalex-snapshot

Movie reconstruction from mouse visual cortex activity

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