Neural network model of the primary visual cortex: From functional architecture to lateral connectivity and back
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Summary
A neural network model is suggested in which OMs are encoded by the intrinsic lateral connections, and it is proved that the network has a ring attractor composed of an approximated version of the OMs, and that these states can represent local properties of the visual scene.
- Type
- article
- Published
- 2006-04-01
- Cited by
- 63
- References
- 64
- Access
- Open access
- OpenAlex
- https://openalex.org/W1976462581
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17167524
Keywords
Visual cortex, Computer science, Orientation (vector space), Neuroscience, Sensory system
References
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- Induction of visual orientation modules in auditory cortex
- Modern Techniques in Neuroscience Research
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- Foci of orientation plasticity in visual cortex
- Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis
- Reading population codes: a neural implementation of ideal observers
- Intracortical origin of visual maps
- A Model of Visuospatial Working Memory in Prefrontal Cortex: Recurrent Network and Cellular Bistability
- Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex
- Orientation Selectivity and the Arrangement of Horizontal Connections in Tree Shrew Striate Cortex
- An emergent model of orientation selectivity in cat visual cortical simple cells
- The layout of iso-orientation domains in area 18 of cat visual cortex: optical imaging reveals a pinwheel-like organization
- Difference in the representation of cardinal and oblique contours in cat visual cortex.
- Linking spontaneous activity of single cortical neurons and the underlying functional architecture.
- New perspectives on the mechanisms for orientation selectivity.
- Topography of contextual modulations mediated by short-range interactions in primary visual cortex
- Spontaneously emerging cortical representations of visual attributes
- Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model.
- A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
Cited by
- Intrinsic and functional aspects of neuronal synchrony in primary visual cortex
- Nonlinear analysis methods in neural field models. (Méthodes d'analyse non linéaires appliquées aux modèles des champs neuronaux)
- Analysis of neural signals: Interdependence, information coding, and relation to network models
- Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling
- Illusions in the Ring Model of visual orientation selectivity
- Short-Term Facilitation may Stabilize Parametric Working Memory Trace
- Emerging concepts for the dynamical organization of resting-state activity in the brain
- A Dynamic Neural Field Model of Mesoscopic Cortical Activity Captured with Voltage-Sensitive Dye Imaging
- Conductance-based refractory density model of primary visual cortex
- Continuous Attractors with Morphed/Correlated Maps
- Model‐based analysis of excitatory lateral connections in the visual cortex
- Neural Network Mechanisms Underlying Stimulus Driven Variability Reduction
- Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1.
- Spontaneous state switching in realistic mean-field model of visual cortex with heteroclinic channel
- On the Origin of the Functional Architecture of the Cortex
- Associating spontaneous with evoked activity in a neural mass model of visual cortex
- A spatialized model of visual texture perception using the structure tensor formalism
- Spontaneous pattern generation by a network with dynamic synapses
- Functional interactions between intrinsic brain activity and behavior
- Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks
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