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Visual reconstruction from 2-photon calcium imaging suggests linear readout properties of neurons in mouse primary visual cortex

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What this work says

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

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Vector reconstruction from firing rates

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The Ising decoder: reading out the activity of large neural ensembles

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Multi-target regression via input space expansion: treating targets as inputs

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Eight open questions in the computational modeling of higher sensory cortex

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Efficiency turns the table on neural encoding, decoding and noise

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Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies

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Inverse retinotopy: Inferring the visual content of images from brain activation patterns

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Reconstruction of shape contours from V1 activity at high resolution

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Bayesian Reconstruction of Natural Images from Human Brain Activity

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Exploring the Next Frontier of Mouse Vision

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Neural population coding: combining insights from microscopic and mass signals

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What can mice tell us about how vision works?

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To Burst or Not to Burst?

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Whole-brain functional imaging at cellular resolution using light-sheet microscopy

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Decoding the activity of neuronal populations in macaque primary visual cortex

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Explicit information for category-orthogonal object properties increases along the ventral stream

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Extracting information from neuronal populations: information theory and decoding approaches

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Ruling out and ruling in neural codes

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Retinal prosthetic strategy with the capacity to restore normal vision

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In vivo two-photon calcium imaging of neuronal networks

inferredcites →https://doi.org/10.1093/cercor/bhx268openalex-snapshot

Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

inferredcites →https://doi.org/10.1098/rspb.1998.0303openalex-snapshot

Independent component filters of natural images compared with simple cells in primary visual cortex

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Correlations and the encoding of information in the nervous system

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Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons

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Image representation using 2D Gabor wavelets

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

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Receptive fields of single neurones in the cat's striate cortex

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Reading a Neural Code

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Fast Nonnegative Deconvolution for Spike Train Inference From Population Calcium Imaging

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Decoding Visual Information From a Population of Retinal Ganglion Cells

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Interpreting Neuronal Population Activity by Reconstruction: Unified Framework With Application to Hippocampal Place Cells

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Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

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Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

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High Accuracy Decoding of Dynamical Motion from a Large Retinal Population

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

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Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation

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Nonlinear decoding of a complex movie from the mammalian retina

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.19-18-08036.1999openalex-snapshot

Reconstruction of Natural Scenes from Ensemble Responses in the Lateral Geniculate Nucleus

inferredcites →https://doi.org/10.1523/jneurosci.4099-09.2010openalex-snapshot

Neural Representation of Natural Images in Visual Area V2

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Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

inferredcites →https://doi.org/10.1523/jneurosci.5319-04.2005openalex-snapshot

Synergy, Redundancy, and Independence in Population Codes, Revisited

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Characterization of Genetically Targeted Neuron Types in the Zebrafish Optic Tectum

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Representation of visual scenes by local neuronal populations in layer 2/3 of mouse visual cortex

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Population coding in mouse visual cortex: response reliability and dissociability of stimulus tuning and noise correlation

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Structure learning and the Occam's razor principle: a new view of human function acquisition

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

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

What points at this work

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

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Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches

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Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2025.110595openalex-snapshot

High - quality decoding of RGB images from the neuronal signals of the pigeon optic tectum

inferred← citeshttps://doi.org/10.1016/j.neunet.2020.01.033openalex-snapshot

Reconstruction of natural visual scenes from neural spikes with deep neural networks

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107863openalex-snapshot

Decoding natural visual scenes via learnable representations of neural spiking sequences

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Tensor-powered insights into neural dynamics

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Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

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/10.1109/jsen.2023.3335613openalex-snapshot

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3351120openalex-snapshot

Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes

inferred← citeshttps://doi.org/10.1162/neco_a_01395openalex-snapshot

Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings

inferred← citeshttps://doi.org/10.1162/neco_a_01498openalex-snapshot

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1012297openalex-snapshot

Decoding dynamic visual scenes across the brain hierarchy

inferred← citeshttps://doi.org/10.48550/arxiv.2001.04064openalex-snapshot

Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes

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