A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
From MaRDI portal
Publication:2746339
DOI10.1162/08997660152469341zbMath1004.92008OpenAlexW2147826011WikidataQ52018005 ScholiaQ52018005MaRDI QIDQ2746339
Osamu Hoshino, Satoru Inoue, Takeshi Kambara, Yoshiki Kashimori
Publication date: 16 February 2003
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/08997660152469341
Neural biology (92C20) Dynamical systems in biology (37N25) Cognitive psychology (91E10) Psychophysics and psychophysiology; perception (91E30)
Related Items
Neuronal Bases of Perceptual Learning Revealed by a Synaptic Balance Scheme ⋮ An Ongoing Subthreshold Neuronal State Established Through Dynamic Coassembling of Cortical Cells ⋮ Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity
Cites Work
- Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- Neural theory of association and concept-formation
- An olfactory recognition model based on spatio-temporal encoding of odor quality in the olfactory bulb
- Dynamics of the olfactory bulb: Bifurcations, learning, and memory
- Can stochastic renewal of maps be a model for cerebral cortex?
- Representation of visual features of objects in the inferotemporal cortex
- Learning internal representations in an attractor neural network with analogue neurons
- Neural networks and physical systems with emergent collective computational abilities.
- Neurons with graded response have collective computational properties like those of two-state neurons.
This page was built for publication: A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
