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NN 2006 International Summer School on Neural Networks

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NN
2006
Springer

234views Neural Networks» more NN 2006»

Attention in natural scenes: Neurophysiological and computational bases

13 years 4 months ago

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How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...

Edmund T. Rolls, Gustavo Deco

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Id	Views	Title	Status

1	234	Attention in natural scenes: Neurophysiological and computational bases	claim
2	232	A probabilistic model of gaze imitation and shared attention	claim
3	218	Modeling attention to salient proto-objects	claim
4	203	A competitive neural model of small number detection	claim
5	163	Machine learning approaches for estimation of prediction interval for the model output	claim
6	153	An incremental network for on-line unsupervised classification and topology learning	claim
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9	140	Neural mechanism for stochastic behaviour during a competitive game	claim
10	130	Advances in Self-Organizing Maps	claim
11	128	Topographic map formation of factorized Edgeworth-expanded kernels	claim
12	127	The asymptotic equipartition property in reinforcement learning and its relation to return maximization	claim
13	127	Assessing self organizing maps via contiguity analysis	claim
14	126	Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron	claim
15	122	Goals and means in action observation: A computational approach	claim
16	121	Mirror neurons and imitation: A computationally guided review	claim
17	120	Computational intelligence in earth sciences and environmental applications: Issues and challenges	claim
18	114	Modular learning models in forecasting natural phenomena	claim
19	113	Large-scale data exploration with the hierarchically growing hyperbolic SOM	claim
20	108	Performance analysis of LVQ algorithms: A statistical physics approach	claim
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52	66	A descriptive method to evaluate the number of regimes in a switching autoregressive model	claim
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