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What the Success of Brain Imaging Implies about the Neural Code
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0193(1997)5:5<329::aid-hbm1>3.0.co;2-5openalex-snapshot
Selective averaging of rapidly presented individual trials using fMRI
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199701)48:1<88::aid-asi10>3.0.co;2-#openalex-snapshot
Backpropagation: Theory, architectures, and applications
inferredcites →https://doi.org/10.1002/hbm.20574openalex-snapshot
Effects of aging on cerebral blood flow, oxygen metabolism, and blood oxygenation level dependent responses to visual stimulation
inferredcites →https://doi.org/10.1002/hipo.22582openalex-snapshot
High‐resolution investigation of memory‐specific reinstatement in the hippocampus and perirhinal cortex
inferredcites →https://doi.org/10.1006/nimg.2002.1082openalex-snapshot
How Much Cortex Can a Vein Drain? Downstream Dilution of Activation-Related Cerebral Blood Oxygenation Changes
inferredcites →https://doi.org/10.1007/978-3-642-83056-3openalex-snapshot
Content-Addressable Memories
inferredcites →https://doi.org/10.1007/bf00344251openalex-snapshot
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1016/b978-0-08-097086-8.31063-7openalex-snapshot
Children, Value of
inferredcites →https://doi.org/10.1016/j.cub.2013.08.035openalex-snapshot
Decoding the Brain’s Algorithm for Categorization from Its Neural Implementation
inferredcites →https://doi.org/10.1016/j.neuroimage.2005.08.009openalex-snapshot
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection
inferredcites →https://doi.org/10.1016/j.neuroimage.2008.06.037openalex-snapshot
Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.09.059openalex-snapshot
How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter?
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.09.037openalex-snapshot
Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.07.004openalex-snapshot
The secret lives of experiments: Methods reporting in the fMRI literature
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.12.015openalex-snapshot
Decisions about the past are guided by reinstatement of specific memories in the hippocampus and perirhinal cortex
inferredcites →https://doi.org/10.1016/j.tics.2006.07.005openalex-snapshot
Beyond mind-reading: multi-voxel pattern analysis of fMRI data
inferredcites →https://doi.org/10.1016/j.tics.2007.06.010openalex-snapshot
Untangling invariant object recognition
inferredcites →https://doi.org/10.1016/j.tics.2007.09.004openalex-snapshot
Learning multiple layers of representation
inferredcites →https://doi.org/10.1016/j.tics.2015.01.002openalex-snapshot
Neural population coding: combining insights from microscopic and mass signals
inferredcites →https://doi.org/10.1016/s0896-6273(02)00817-6openalex-snapshot
Neural Correlates of Visual Working Memory
inferredcites →https://doi.org/10.1016/s0896-6273(02)00829-2openalex-snapshot
A New Mechanism for Neuronal Gain Control (or How the Gain in Brains Has Mainly Been Explained)
inferredcites →https://doi.org/10.1016/s1053-8119(03)00049-1openalex-snapshot
Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex
inferredcites →https://doi.org/10.1017/s1351324996001246openalex-snapshot
Distribution of content words and phrases in text and language modelling
inferredcites →https://doi.org/10.1023/b:mach.0000035475.85309.1bopenalex-snapshot
Learning to Decode Cognitive States from Brain Images
inferredcites →https://doi.org/10.1037/0278-7393.10.4.616openalex-snapshot
Theory of categorization based on distributed memory storage.
inferredcites →https://doi.org/10.1038/14819openalex-snapshot
Hierarchical models of object recognition in cortex
inferredcites →https://doi.org/10.1038/35039062openalex-snapshot
Information processing with population codes
inferredcites →https://doi.org/10.1038/513027aopenalex-snapshot
Neuroscience: Where is the brain in the Human Brain Project?
inferredcites →https://doi.org/10.1038/531s16aopenalex-snapshot
Neural modelling: Abstractions of the mind
inferredcites →https://doi.org/10.1038/nature03687openalex-snapshot
Invariant visual representation by single neurons in the human brain
inferredcites →https://doi.org/10.1038/nature06976openalex-snapshot
What we can do and what we cannot do with fMRI
inferredcites →https://doi.org/10.1038/nn.4244openalex-snapshot
Using goal-driven deep learning models to understand sensory cortex
inferredcites →https://doi.org/10.1038/nn.4247openalex-snapshot
Explicit information for category-orthogonal object properties increases along the ventral stream
inferredcites →https://doi.org/10.1038/nrn1888openalex-snapshot
Neural correlations, population coding and computation
inferredcites →https://doi.org/10.1073/pnas.0907330106openalex-snapshot
Attention and biased competition in multi-voxel object representations
inferredcites →https://doi.org/10.1073/pnas.1403112111openalex-snapshot
Performance-optimized hierarchical models predict neural responses in higher visual cortex
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1073/pnas.86.5.1698openalex-snapshot
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex.
inferredcites →https://doi.org/10.1080/02643290701417939openalex-snapshot
Does like attract like? Exploring the relationship between errors and representational structure in connectionist networks
inferredcites →https://doi.org/10.1080/09515080050002726openalex-snapshot
Content and cluster analysis: Assessing representational similarity in neural systems
inferredcites →https://doi.org/10.1080/23273798.2014.994010openalex-snapshot
Connecting functional brain imaging and Parallel Distributed Processing
inferredcites →https://doi.org/10.1098/rstb.2002.1114openalex-snapshot
The neural basis of the blood–oxygen–level–dependent functional magnetic resonance imaging signal
inferredcites →https://doi.org/10.1103/physrev.72.26openalex-snapshot
Ionization Yield of Radiations. II. The Fluctuations of the Number of Ions
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1109/pgec.1966.264358openalex-snapshot
Content-Addressable and Associative Memory Systems a Survey
inferredcites →https://doi.org/10.1109/tpami.2007.56openalex-snapshot
Robust Object Recognition with Cortex-Like Mechanisms
inferredcites →https://doi.org/10.1111/tops.12131openalex-snapshot
The Algorithmic Level Is the Bridge Between Computation and Brain
inferredcites →https://doi.org/10.1113/jphysiol.1926.sp002273openalex-snapshot
The impulses produced by sensory nerve endings
inferredcites →https://doi.org/10.1113/jphysiol.1926.sp002281openalex-snapshot
The impulses produced by sensory nerve‐endings
inferredcites →https://doi.org/10.1113/jphysiol.1959.sp006308openalex-snapshot
Receptive fields of single neurones in the cat's striate cortex
inferredcites →https://doi.org/10.1113/jphysiol.1968.sp008455openalex-snapshot
Receptive fields and functional architecture of monkey striate cortex
inferredcites →https://doi.org/10.1126/science.242.4880.944bopenalex-snapshot
Toward a Universal Law of Generalization
inferredcites →https://doi.org/10.1126/science.272.5261.551openalex-snapshot
Interactions Between Electrical Activity and Cortical Microcirculation Revealed by Imaging Spectroscopy: Implications for Functional Brain Mapping
inferredcites →https://doi.org/10.1126/science.3629243openalex-snapshot
Toward a Universal Law of Generalization for Psychological Science
inferredcites →https://doi.org/10.1145/1831407.1831425openalex-snapshot
A neuromorphic approach to computer vision
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1152/jn.1983.49.5.1127openalex-snapshot
Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation
inferredcites →https://doi.org/10.1152/jn.1993.70.4.1629openalex-snapshot
Spatiotemporal firing patterns in the frontal cortex of behaving monkeys
inferredcites →https://doi.org/10.1162/089976699300016287openalex-snapshot
The Relationship Between Synchronization Among Neuronal Populations and Their Mean Activity Levels
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1177/0956797612460691openalex-snapshot
Children Value Informativity Over Logic in Word Learning
inferredcites →https://doi.org/10.1177/107385802237175openalex-snapshot
Genealogy of the “Grandmother Cell”
inferredcites →https://doi.org/10.1371/journal.pcbi.1003915openalex-snapshot
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
inferredcites →https://doi.org/10.1371/journal.pcbi.1003963openalex-snapshot
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
inferredcites →https://doi.org/10.1523/jneurosci.16-13-04207.1996openalex-snapshot
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
inferredcites →https://doi.org/10.1523/jneurosci.17-01-00353.1997openalex-snapshot
Human Brain Language Areas Identified by Functional Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1523/jneurosci.23-10-03963.2003openalex-snapshot
The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal
inferredcites →https://doi.org/10.1523/jneurosci.2314-15.2016openalex-snapshot
Dissociations and Associations between Shape and Category Representations in the Two Visual Pathways
inferredcites →https://doi.org/10.1523/jneurosci.3376-13.2014openalex-snapshot
Global Neural Pattern Similarity as a Common Basis for Categorization and Recognition Memory
inferredcites →https://doi.org/10.1523/jneurosci.3733-05.2006openalex-snapshot
A Recurrent Network Mechanism of Time Integration in Perceptual Decisions
inferredcites →https://doi.org/10.1523/jneurosci.4037-14.2015openalex-snapshot
Single-Unit Recordings in the Macaque Face Patch System Reveal Limitations of fMRI MVPA
inferredcites →https://doi.org/10.1523/jneurosci.4811-09.2010openalex-snapshot
Multiscale Pattern Analysis of Orientation-Selective Activity in the Primary Visual Cortex
inferredcites →https://doi.org/10.1523/jneurosci.5023-14.2015openalex-snapshot
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
inferredcites →https://doi.org/10.1523/jneurosci.5160-10.2011openalex-snapshot
Orientation Decoding Depends on Maps, Not Columns
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.29172/99ff0294e6af41679a7239d01dcd5dadopenalex-snapshot
Functional magnetic resonance imaging
inferredcites →https://doi.org/10.3389/neuro.01.035.2009openalex-snapshot
Relating population-code representations between man, monkey, and computational models
inferredcites →https://doi.org/10.3389/neuro.06.004.2008openalex-snapshot
Representational similarity analysis – connecting the branches of systems neuroscience
inferredcites →https://doi.org/10.3758/bf03330618openalex-snapshot
Toward direct visualization of the internal shape representation space by fMRI
inferredcites →https://doi.org/10.4135/9781452274102.n135openalex-snapshot
Functional Magnetic Resonance Imaging
inferredcites →https://doi.org/10.4249/scholarpedia.3105openalex-snapshot
Functional magnetic resonance imaging
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1101/137851openalex-snapshot
The algorithmic neuroanatomy of action-outcome learning
inferred← citeshttps://doi.org/10.1109/tr.2023.3303923openalex-snapshot
Focus-Shifting Attack: An Adversarial Attack That Retains Saliency Map Information and Manipulates Model Explanations
inferred← citeshttps://doi.org/10.1523/jneurosci.3182-20.2021openalex-snapshot
Revisiting the Neural Architecture of Adolescent Decision-Making: Univariate and Multivariate Evidence for System-Based Models
inferred← citeshttps://doi.org/10.1609/aaai.v37i8.26112openalex-snapshot
Do Invariances in Deep Neural Networks Align with Human Perception?
inferred← citeshttps://doi.org/10.70675/622daac4z9213z4569z9a2eze68e530929eeopenalex-snapshot
Approches computationnelles d'analyse des relations entre cerveau et comportement
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