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2005

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Computational modeling and exploration of contour integration for visual saliency

13 years 4 months ago

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Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...

T. Nathan Mundhenk, Laurent Itti

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Id	Views	Title	Status

1	127	Computational modeling and exploration of contour integration for visual saliency	claim
2	122	On partial contraction analysis for coupled nonlinear oscillators	claim
3	113	The physical basis of alpha waves in the electroencephalogram and the origin of the "Berger effect"	claim
4	108	Individual differences in perceptual switching rates; the role of occipital alpha and frontal theta band activity	claim
5	106	Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions	claim
6	102	Visual shape recognition with contour propagation	claim
7	101	A control theory approach to the analysis and synthesis of the experimentally observed motion primitives	claim
8	98	Integrating behavioral and neural data in a model of zebrafish network interaction	claim
9	96	An artificial neural network that utilizes hip joint actuations to control bifurcations and chaos in a passive dynamic bipedal walking model	claim
10	92	Spontaneous symmetry breaking in self-organizing neural fields	claim
11	88	Threading neural feedforward into a mechanical spring: How biology exploits physics in limb control	claim
12	84	A computational model of monkey cortical grating cells	claim
13	83	Learning visuomotor transformations for gaze-control and grasping	claim
14	82	Feedback equilibrium control during human standing	claim
15	82	Estimating position and velocity of a submerged moving object by the clawed frog Xenopus and by fish - A cybernetic approach	claim
16	80	Dynamics of multifrequency coordination using parametric driving: theory and experiment	claim
17	79	Stochastic resonance of localized activity driven by common noise	claim
18	79	Spontaneously emerging direction selectivity maps in visual cortex through STDP	claim
19	78	Velocity constancy and models for wide-field visual motion detection in insects	claim
20	77	Motion repulsion arises from stimulus statistics when analyzed with a clustering algorithm	claim
21	73	Modeling the acceleration sensitive neurons in the pigeon optokinetic system	claim
22	71	The spatiotemporal learning rule and its efficiency in separating spatiotemporal patterns	claim
23	68	Principal component analysis of complex multijoint coordinative movements	claim
24	68	Learning viewpoint invariant object representations using a temporal coherence principle	claim
25	67	Agents of the mind	claim
26	67	Detailed and abstract phase-locked attractor network models of early olfactory systems	claim
27	65	A field-theoretic approach to understanding scale-free neocortical dynamics	claim
28	64	Waves, bumps, and patterns in neural field theories	claim
29	63	Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction	claim
30	63	Self-organization in the olfactory system: one shot odor recognition in insects	claim
31	62	Regularity in an environment produces an internal torque pattern for biped balance control	claim
32	61	Computational theories on the function of theta oscillations	claim
33	58	Pattern computation in neural communication systems	claim
34	58	Instability helps virtual flies to mate	claim
35	56	An algorithmic model of heading perception	claim
36	55	Spatial and temporal structure of phase synchronization of spontaneous alpha EEG activity	claim
37	54	Schema-based learning of adaptable and flexible prey-catching in anurans I. The basic architecture	claim
38	37	Empirical mode decomposition of field potentials from macaque V4 in visual spatial attention	claim

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