From basic network principles to neural architecture: emergence of orientation-selective cells.
about
Coverage, continuity, and visual cortical architectureA structured model of video reproduces primary visual cortical organisation.Brain localization for arbitrary stimulus categories: a simple account based on Hebbian learning.Is the development of orientation selectivity instructed by activity?Emerging feed-forward inhibition allows the robust formation of direction selectivity in the developing ferret visual cortexPower-law inter-spike interval distributions infer a conditional maximization of entropy in cortical neurons.A century of cortical architectonics.The retinal ganglion cell mosaic defines orientation columns in striate cortexDevelopment of cortical orientation selectivity in the absence of visual experience with contour.The neural development and organization of letter recognition: evidence from functional neuroimaging, computational modeling, and behavioral studies.Dendritic excitability and synaptic plasticity.From basic network principles to neural architecture: emergence of orientation columns.Neural dynamics and information representation in microcircuits of motor cortexNeural nets.3-D vision and figure-ground separation by visual cortex.Model of cortical-basal ganglionic processing: encoding the serial order of sensory events.Development and regeneration of the retinotectal map in goldfish: a computational study.A theoretical analysis of the influence of fixational instability on the development of thalamocortical connectivity.Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain?Spatial decorrelation in orientation-selective cortical cells.Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study.Toward a biophysically plausible bidirectional Hebbian rule.The joint development of orientation and ocular dominance: role of constraints.A comparison of natural-image-based models of simple-cell coding.An emergentist perspective on the origin of number sense.The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images.A simple competitive account of some response properties of visual neurons in area MSTd.The limits of brain determinacy.Hebbian learning in a model with dynamic rate-coded neurons: an alternative to the generative model approach for learning receptive fields from natural scenes.Finite state automata resulting from temporal information maximization and a temporal learning rule.Multiplicative synaptic normalization and a nonlinear Hebb rule underlie a neurotrophic model of competitive synaptic plasticity.Learning by maximizing the information transfer through nonlinear noisy neurons and "noise breakdown"Robust Reservoir Generation by Correlation-Based LearningNeural Network Implementations for PCA and Its Extensions
P2860
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P2860
From basic network principles to neural architecture: emergence of orientation-selective cells.
description
1986 nî lūn-bûn
@nan
1986年の論文
@ja
1986年学术文章
@wuu
1986年学术文章
@zh-cn
1986年学术文章
@zh-hans
1986年学术文章
@zh-my
1986年学术文章
@zh-sg
1986年學術文章
@yue
1986年學術文章
@zh
1986年學術文章
@zh-hant
name
From basic network principles ...... f orientation-selective cells.
@en
From basic network principles ...... f orientation-selective cells.
@nl
type
label
From basic network principles ...... f orientation-selective cells.
@en
From basic network principles ...... f orientation-selective cells.
@nl
prefLabel
From basic network principles ...... f orientation-selective cells.
@en
From basic network principles ...... f orientation-selective cells.
@nl
P2860
P356
P1476
From basic network principles ...... f orientation-selective cells.
@en
P2093
P2860
P304
P356
10.1073/PNAS.83.21.8390
P407
P577
1986-11-01T00:00:00Z