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Through a barn owl's eyes: interactions between scene content and visual attention

14 years 17 days ago

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Abstract In this study we set to investigate visual attention properties of freely behaving barn owls using a miniature wireless camera attached to their heads. The tubular eye str...

Shay Ohayon, Wolf Harmening, Hermann Wagner, Ehud ...

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Id	Views	Title	Status

1	208	Through a barn owl's eyes: interactions between scene content and visual attention	claim
2	134	Interacting with an artificial partner: modeling the role of emotional aspects	claim
3	92	Attractor models of working memory and their modulation by reward	claim
4	89	Complex evolution of spike patterns during burst propagation through feed-forward networks	claim
5	86	Firing patterns in the adaptive exponential integrate-and-fire model	claim
6	73	Interaction of ON and OFF pathways for visual contrast measurement	claim
7	72	Spike-train spectra and network response functions for non-linear integrate-and-fire neurons	claim
8	72	Dynamics and bifurcations of the adaptive exponential integrate-and-fire model	claim
9	70	Electric imaging through active electrolocation: implication for the analysis of complex scenes	claim
10	69	The scalable mammalian brain: emergent distributions of glia and neurons	claim
11	68	Neural control of Caenorhabditis elegans forward locomotion: the role of sensory feedback	claim
12	67	Information transmission in oscillatory neural activity	claim
13	67	The response of cortical neurons to in vivo-like input current: theory and experiment	claim
14	64	Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data	claim
15	61	Linear ensemble-coding in midbrain superior colliculus specifies the saccade kinematics	claim
16	61	Automated neuron model optimization techniques: a review	claim
17	61	Predicting the activity phase of a follower neuron with A-current in an inhibitory network	claim
18	60	Inhibition, not excitation, is the key to multimodal sensory integration	claim
19	60	Special issue on quantitative neuron modeling	claim
20	58	Resolving the dynamics of EEG generators by multichannel recordings	claim
21	56	An implementation of reinforcement learning based on spike timing dependent plasticity	claim
22	56	Predictive feedback control and Fitts' law	claim
23	55	Modeling convergent ON and OFF pathways in the early visual system	claim
24	55	Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons	claim
25	53	Distributed delays stabilize neural feedback systems	claim
26	52	Population vector code: a geometric universal as actuator	claim
27	51	Electric field interactions in pairs of electric fish: modeling and mimicking naturalistic inputs	claim
28	51	Animal navigation: general properties of directed walks	claim
29	50	The quantitative single-neuron modeling competition	claim
30	49	Object localization with whiskers	claim
31	49	Phenomenological models of synaptic plasticity based on spike timing	claim
32	47	Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions	claim
33	44	Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison	claim
34	42	Design principles of sensory processing in cerebellum-like structures	claim
35	40	Parametric spectral analysis of nonstationary fluctuations of excitatory synaptic currents	claim
36	38	Spike-timing in primary sensory neurons: a model of somatosensory transduction in the rat	claim

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