NN 2006 - PDF Preprint Papers

NN 2006 International Summer School on Neural Networks

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed NN-2006 Paper

click to vote

NN
2006
Springer

234views Neural Networks» more NN 2006»

Attention in natural scenes: Neurophysiological and computational bases

14 years 11 days ago

Download www.oxcns.org

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

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

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
7	146	Comparison of relevance learning vector quantization with other metric adaptive classification methods	claim
8	141	Encoding uncertainty in the hippocampus	claim
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
21	107	Batch and median neural gas	claim
22	105	Unfolding preprocessing for meaningful time series clustering	claim
23	104	Local multidimensional scaling	claim
24	101	A robot model of the basal ganglia: Behavior and intrinsic processing	claim
25	100	Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception	claim
26	100	Exploratory analysis of climate data using source separation methods	claim
27	100	Adaptive filtering with the self-organizing map: A performance comparison	claim
28	100	Neural voting machines	claim
29	97	Self-organizing neural networks to support the discovery of DNA-binding motifs	claim
30	96	Machine learning in sedimentation modelling	claim
31	96	Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols	claim
32	96	Missing data imputation through GTM as a mixture of t-distributions	claim
33	91	On the social psychology of modelling	claim
34	90	Neurobiology of decision making	claim
35	88	Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making	claim
36	87	Propagation and control of stochastic signals through universal learning networks	claim
37	87	Speed-accuracy trade-off in planned arm movements with delayed feedback	claim
38	87	Stochastic models of decisions about motion direction: Behavior and physiology	claim
39	85	Computational algorithms and neuronal network models underlying decision processes	claim
40	85	Granular self-organizing map (grSOM) for structure identification	claim
41	82	Machine learning in soil classification	claim
42	79	Homeostatic synaptic scaling in self-organizing maps	claim
43	79	The misbehavior of value and the discipline of the will	claim
44	79	Rapid decision threshold modulation by reward rate in a neural network	claim
45	78	Parallel and distributed neural models of the ideomotor principle: An investigation of imitative cortical pathways	claim
46	77	A model of surround suppression through cortical feedback	claim
47	76	Models of human visual attention should consider trial-by-trial variability in preparatory neural signals	claim
48	74	SOM's mathematics	claim
49	74	Pre-attentive visual selection	claim
50	72	Neural systems implicated in delayed and probabilistic reinforcement	claim
51	69	Special Issue on The Brain Mechanisms of Imitation Learning	claim
52	66	A descriptive method to evaluate the number of regimes in a switching autoregressive model	claim
53	64	Evolutionary product unit based neural networks for regression	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers