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A comparison of deep learning and linear-nonlinear cascade approaches to neural encoding

https://doi.org/10.1101/463422
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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/bf00320483openalex-snapshot
Constraints for joint angle control of the human arm
inferredcites →https://doi.org/10.1007/s10827-013-0466-4openalex-snapshot
Fast inference in generalized linear models via expected log-likelihoods
inferredcites →https://doi.org/10.1016/j.neuron.2005.05.021openalex-snapshot
Spatiotemporal Elements of Macaque V1 Receptive Fields
inferredcites →https://doi.org/10.1016/j.neuron.2016.05.039openalex-snapshot
Analysis of Neuronal Spike Trains, Deconstructed
inferredcites →https://doi.org/10.1080/713663221openalex-snapshot
A simple white noise analysis of neuronal light responses
inferredcites →https://doi.org/10.1080/net.12.2.199.213openalex-snapshot
A simple white noise analysis of neuronal light responses
inferredcites →https://doi.org/10.1088/0954-898x/15/4/002openalex-snapshot
Maximum likelihood estimation of cascade point-process neural encoding models
inferredcites →https://doi.org/10.1088/0954-898x_14_3_304openalex-snapshot
Convergence properties of three spike-triggered analysis techniques
inferredcites →https://doi.org/10.1098/rspb.1988.0055openalex-snapshot
Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences
inferredcites →https://doi.org/10.1101/045336openalex-snapshot
Testing pseudo-linear models of responses to natural scenes in primate retina
inferredcites →https://doi.org/10.1109/tbme.1968.4502561openalex-snapshot
Triggered Correlation
inferredcites →https://doi.org/10.1126/science.2063199openalex-snapshot
Reading a Neural Code
inferredcites →https://doi.org/10.1152/jn.00697.2004openalex-snapshot
A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects
inferredcites →https://doi.org/10.1152/jn.01171.2003openalex-snapshot
Precision of Spike Trains in Primate Retinal Ganglion Cells
inferredcites →https://doi.org/10.1162/089976600300015259openalex-snapshot
Synergy in a Neural Code
inferredcites →https://doi.org/10.1162/08997660360675017openalex-snapshot
Computation in a Single Neuron: Hodgkin and Huxley Revisited
inferredcites →https://doi.org/10.1162/08997660360675044openalex-snapshot
What Causes a Neuron to Spike?
inferredcites →https://doi.org/10.1162/089976604322742010openalex-snapshot
Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1167/6.4.13openalex-snapshot
Spike-triggered neural characterization
inferredcites →https://doi.org/10.1167/6.4.9openalex-snapshot
Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis
inferredcites →https://doi.org/10.1214/12-aos1000openalex-snapshot
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
inferredcites →https://doi.org/10.1371/journal.pcbi.1004141openalex-snapshot
The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction
inferredcites →https://doi.org/10.2307/2344614openalex-snapshot
Generalized Linear Models
inferredcites →https://doi.org/10.3389/fncom.2010.00012openalex-snapshot
Bayesian inference for generalized linear models for spiking neurons
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1702.01825openalex-snapshot
Deep Learning Models of the Retinal Response to Natural Scenes
inferredcites →https://doi.org/10.48550/arxiv.1709.04905openalex-snapshot
One-Shot Visual Imitation Learning via Meta-Learning
inferredcites →https://doi.org/10.7551/mitpress/1535.003.0007openalex-snapshot
Likelihood-Based Approaches to Modeling the Neural Code
inferredcites →https://doi.org/10.7551/mitpress/9780262042383.001.0001openalex-snapshot
Bayesian Brain

What points at this work

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

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Quantitative models of auditory cortical processing
inferred← citeshttps://doi.org/10.1073/pnas.2318837121openalex-snapshot
Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons
inferred← citeshttps://doi.org/10.1088/1741-2552/abc535openalex-snapshot
Decoding network-mediated retinal response to electrical stimulation: implications for fidelity of prosthetic vision
inferred← citeshttps://doi.org/10.1101/2023.09.13.557650openalex-snapshot
Single-cell optogenetics reveals attenuation-by-suppression in visual cortical neurons
inferred← citeshttps://doi.org/10.1145/3707127.3707144openalex-snapshot
Neural encoding of multidimensional handwriting movements for brain-computer interfaces
inferred← citeshttps://doi.org/10.1146/annurev-vision-091718-014731openalex-snapshot
Data-Driven Approaches to Understanding Visual Neuron Activity
inferred← citeshttps://doi.org/10.1152/jn.00416.2021openalex-snapshot
Model-based characterization of the selectivity of neurons in primary visual cortex
inferred← citeshttps://doi.org/10.1186/s40708-021-00132-6openalex-snapshot
A deep convolutional visual encoding model of neuronal responses in the LGN
inferred← citeshttps://doi.org/10.3389/fnins.2025.1570104openalex-snapshot
Neuromorphic algorithms for brain implants: a review
inferred← citeshttps://doi.org/10.3390/e25040589openalex-snapshot
Synchrony-Division Neural Multiplexing: An Encoding Model
inferred← citeshttps://doi.org/10.7717/peerj-cs.1976openalex-snapshot
Deep learning-based method for sentiment analysis for patients’ drug reviews
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