1. Rapid categorization of achromatic natural scenes: how robust at very low contrasts?
- Author
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Marc J.-M. Macé, Simon J. Thorpe, Michèle Fabre-Thorpe, Centre de recherche cerveau et cognition (CERCO), Institut des sciences du cerveau de Toulouse. (ISCT), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut des sciences du cerveau de Toulouse. (ISCT), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Male ,MESH: Decision Making ,MESH: Evoked Potentials, Visual ,genetic structures ,MESH: Cognition ,Task (project management) ,Cognition ,0302 clinical medicine ,MESH: Brain Mapping ,Cerebral Cortex ,Brain Mapping ,MESH: Middle Aged ,General Neuroscience ,05 social sciences ,Cognitive neuroscience of visual object recognition ,Contrast (statistics) ,Electroencephalography ,MESH: Comparative Study ,Middle Aged ,MESH: Photic Stimulation ,Categorization ,Human visual system model ,Visual Perception ,Female ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Psychology ,Adult ,Diagnostic Imaging ,Decision Making ,050105 experimental psychology ,03 medical and health sciences ,Robustness (computer science) ,Parvocellular cell ,MESH: Electroencephalography ,Reaction Time ,Humans ,0501 psychology and cognitive sciences ,Communication ,MESH: Humans ,MESH: Visual Perception ,MESH: Diagnostic Imaging ,business.industry ,MESH: Adult ,Pattern recognition ,MESH: Male ,MESH: Cerebral Cortex ,MESH: Reaction Time ,Face (geometry) ,Evoked Potentials, Visual ,Artificial intelligence ,business ,MESH: Female ,Photic Stimulation ,030217 neurology & neurosurgery - Abstract
The human visual system is remarkably good at categorizing objects even in challenging visual conditions. Here we specifically assessed the robustness of the visual system in the face of large contrast variations in a high-level categorization task using natural images. Human subjects performed a go/no-go animal/nonanimal categorization task with briefly flashed grey level images. Performance was analysed for a large range of contrast conditions randomly presented to the subjects and varying from normal to 3% of initial contrast. Accuracy was very robust and subjects were performing well above chance level (approximately 70% correct) with only 10-12% of initial contrast. Accuracy decreased with contrast reduction but reached chance level only in the most extreme condition (3% of initial contrast). Conversely, the maximal increase in mean reaction time was approximately 60 ms (at 8% of initial contrast); it then remained stable with further contrast reductions. Associated ERPs recorded on correct target and distractor trials showed a clear differential effect whose amplitude and peak latency were correlated respectively with task accuracy and mean reaction times. These data show the strong robustness of the visual system in object categorization at very low contrast. They suggest that magnocellular information could play a role in ventral stream visual functions such as object recognition. Performance may rely on early object representations which lack the details provided subsequently by the parvocellular system but contain enough information to reach decision in the categorization task.
- Published
- 2005
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