• Publications
  • Influence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
TLDR
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented, which breaks down the complex problem of scene understanding by rapidly selecting conspicuous locations to be analyzed in detail. Expand
Graph-Based Visual Saliency
TLDR
A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed, which powerfully predicts human fixations on 749 variations of 108 natural images, achieving 98% of the ROC area of a human-based control, whereas the classical algorithms of Itti & Koch achieve only 84%. Expand
A saliency-based search mechanism for overt and covert shifts of visual attention
TLDR
A detailed computer implementation of a saliency map scheme is described, focusing on the problem of combining information across modalities, here orientation, intensity and color information, in a purely stimulus-driven manner, which is applied to common psychophysical stimuli as well as to a very demanding visual search task. Expand
Computational modelling of visual attention
  • L. Itti, C. Koch
  • Psychology, Medicine
  • Nature Reviews Neuroscience
  • 1 March 2001
TLDR
Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment, providing a framework for a computational and neurobiological understanding of visual attention. Expand
Shifts in selective visual attention: towards the underlying neural circuitry.
TLDR
This study addresses the question of how simple networks of neuron-like elements can account for a variety of phenomena associated with this shift of selective visual attention and suggests a possible role for the extensive back-projection from the visual cortex to the LGN. Expand
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
TLDR
High-density recordings of field activity in animals and subdural grid recordings in humans can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase the understanding of how these processes contribute to the extracellular signal. Expand
The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
  • W. Softky, C. Koch
  • Physics, Medicine
  • The Journal of neuroscience : the official…
  • 1 January 1993
TLDR
It is argued that neurons that act as temporal integrators over many synaptic inputs must fire very regularly and only in the presence of either fast and strong dendritic nonlinearities or strong synchronization among individual synaptic events will the degree of predicted variability approach that of real cortical neurons. Expand
Modeling attention to salient proto-objects
TLDR
It is demonstrated that the suggested model can enable a model of object recognition in cortex to expand from recognizing individual objects in isolation to sequentially recognizing all objects in a more complex scene. Expand
An anatomically comprehensive atlas of the adult human brain transcriptome
TLDR
A transcriptional atlas of the adult human brain is described, comprising extensive histological analysis and comprehensive microarray profiling of ∼900 neuroanatomically precise subdivisions in two individuals, to form a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function. Expand
A mesoscale connectome of the mouse brain
TLDR
A brain-wide, cellular-level, mesoscale connectome for the mouse, using enhanced green fluorescent protein-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. Expand
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