Mély et al., 2017 - Google Patents
Towards a theory of computation in the visual cortexMély et al., 2017
View PDF- Document ID
- 3480565431495707713
- Author
- Mély D
- Serre T
- Publication year
- Publication venue
- Computational and cognitive neuroscience of vision
External Links
Snippet
One of the major goals in visual neuroscience is to understand how the cortex processes visual information (Marr 1982). A substantial effort has thus gone into characterizing input- output relationships across areas of the visual cortex (Dicarlo et al. 2012), which has yielded …
- 210000000857 Visual Cortex 0 title abstract description 42
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
- G06K9/4619—Biologically-inspired filters, e.g. receptive fields
- G06K9/4623—Biologically-inspired filters, e.g. receptive fields with interaction between the responses of different filters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00006—Acquiring or recognising fingerprints or palmprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/74—Arrangements for recognition using optical reference masks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mély et al. | Towards a theory of computation in the visual cortex | |
Serre | Hierarchical Models of the Visual System. | |
Such et al. | Robust spatial filtering with graph convolutional neural networks | |
Turner et al. | Stimulus-and goal-oriented frameworks for understanding natural vision | |
Zhu et al. | Visual nonclassical receptive field effects emerge from sparse coding in a dynamical system | |
Hurtik et al. | Data preprocessing technique for neural networks based on image represented by a fuzzy function | |
Poggio et al. | Models of visual cortex | |
O’Reilly et al. | Recurrent processing during object recognition | |
Rodríguez-Sánchez et al. | The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape | |
Azzopardi et al. | A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection | |
Yamins et al. | Eight open questions in the computational modeling of higher sensory cortex | |
Malhotra et al. | Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints | |
Tacchetti et al. | Invariant recognition shapes neural representations of visual input | |
Augello et al. | Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches | |
Poggio et al. | Vision: are models of object recognition catching up with the brain? | |
Nere et al. | A neuromorphic architecture for object recognition and motion anticipation using burst-STDP | |
Geman | Invariance and selectivity in the ventral visual pathway | |
Taori et al. | Cross-task cognitive load classification with identity mapping-based distributed CNN and attention-based RNN using gabor decomposed data images | |
Maida | Cognitive computing and neural networks: Reverse engineering the brain | |
Khan et al. | A computational neural model for mapping degenerate neural architectures | |
Rusanen et al. | On computational explanations | |
Pimple et al. | Convolutional neural networks for malaria image classification | |
Borisyuk et al. | A neural model of selective attention and object segmentation in the visual scene: An approach based on partial synchronization and star-like architecture of connections | |
Nadler et al. | Divergences in color perception between deep neural networks and humans | |
Parra et al. | Computational framework of the visual sensory system based on neuroscientific evidence of the ventral pathway |