Spatial Frequency Components of Images Modulate Neuronal Activity in Monkey Amygdala
| Autor: | Pilar Montes-Lourido, Maria C. Romero, María Bermúdez, Ana F. Vicente, Francisco Gonzalez |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Visual perception Fast Fourier transform Experimental and Cognitive Psychology Stimulus (physiology) Amygdala 050105 experimental psychology Correlation 03 medical and health sciences 0302 clinical medicine Artificial Intelligence medicine Animals Premovement neuronal activity 0501 psychology and cognitive sciences Neurons Communication Fourier Analysis business.industry 05 social sciences Pattern recognition Macaca mulatta Sensory Systems Ophthalmology medicine.anatomical_structure Amplitude Pattern Recognition Visual nervous system Space Perception Spatial frequency Artificial intelligence Psychology business Facial Recognition 030217 neurology & neurosurgery |
| Zdroj: | Perception. 45:375-385 |
| ISSN: | 1468-4233 0301-0066 |
| Popis: | Processing the spatial frequency components of an image is a crucial feature for visual perception, especially in recognition of faces. Here, we study the correlation between spatial frequency components of images of faces and neuronal activity in monkey amygdala while performing a visual recognition task. The frequency components of the images were analyzed using a fast Fourier transform for 40 spatial frequency ranges. We recorded 65 neurons showing statistically significant responses to at least one of the images used as a stimulus. A total of 37 of these neurons ( n = 37) showed significant responses to at least three images, and in eight of them (8/37, 22%), we found a statistically significant correlation between neuron response and the modulus amplitude of at least one frequency range present in the images. Our results indicate that high spatial frequency and low spatial frequency components of images influence the activity of amygdala neurons. |
| Databáze: | OpenAIRE |
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