Attention and biased competition in multi-voxel object representations

Attention and biased competition in multi-voxel object representations.

The biased-competition theory accounts for attentional effects at the single-neuron level: It predicts that the neuronal response to simultaneously-presented stimuli is a weighted average of the response to isolated stimuli, and that attention biases the weights in favor of the attended stimulus. Perception, however, relies not on single neurons but on larger neuronal populations. The responses...

Occlusion, Attention and Object Representations

Occlusion is currently at the centre of analysis in machine vision. We present an approach to it that uses attention feedback to an occluded object to obtain its correct recognition. Various simulations are performed using a hierarchical visual attention feedback system, based on contrast gain (which we discuss as to its relation to possible hallucinations that could be caused by feedback). We ...

Toward a Biased Competition Account of Object-Based Segregation and Attention

Because the visual system cannot process all of the objects, colors, and features present in a visual scene, visual attention allows some visual stimuli to be selected and processed over others. Most research on visual attention has focused on spatial or location-based attention, in which the locations occupied by stimuli are selected for further processing. Recent research, however, has demons...

A unified model of spatial and object attention based on inter-cortical biased competition

A unified model of spatial and object attention based on inter-cortical biased competition" (2002).

A biased competition computational model of spatial and object-based attention mediating active visual search