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We are interested in understanding the mechanisms underlying the primate visual system--a system to which nearly half of our cerebral cortex is devoted. The massive complexity of this system is belied by the apparent ease with which we can:
Electrophysiology. This technique involves making electrical recordings from individual neurons by inserting a metal or glass electrode directly into the brain. For obvious reasons, this technique cannot typically be used with humans, so most electrophysiological data comes from monkeys. However, some limited electrophysiological data are becoming available from human patients with epilepsy, who often have electrodes temporarily inserted into their brains as part of their medical treatment.Gabriel Kreiman is collaborating with Dr. Itzhak Fried (UCLA) to use such human electrophysiological data to study the roles of the temporal lobe and nearby subcortical structures in object recognition. We have recorded from several multiple units in the human medial temporal lobe. We characterized the visual responses showing that single neurons respond selectively to complex stimuli including faces, objects and spatial layouts. We also recorded the neuronal activity while the subjects had to imagine the stimuli with the eyes closed. We found that single neurons changed their activity selectively depending on the stimuli they were recreating on their "mind's eye". Furthermore, most of these neurons had the same selectivity during imagery and vision. See Kreiman, G., Koch, C. & Fried, I. Category-specific visual responses of single neurons in the human medial temporal lobe. Nat. Neurosci. 3, 946-953 (2000). Kreiman, G., Koch, C. & Fried, I. Imagery neurons in the human brain. Nature (In Press) Neuropsychology. This discipline attempts to make associations between brain regions and specific functionality by studying the symptoms of patients with damage to their visual system due to stroke or other injury or disease. It is important to discover not only which visual abilities are lost when a region is damaged, but also which abilities are retained. Computational modeling. Understanding complex information-processing tasks, such as the spatial perception, motion or selective, visual attention, requires a firm grasp of how the problems can be solved at the computational level, and how the resulting algorithms can be implemented onto the known architecture of the striate and extrastriate cortical areas (as well as associated subcortical areas) in the primate visual system. By tweaking the parameters of computer models to compare their behavior with data from psychophysics, electrophysiology, or functional brain imaging, we gain an understanding of the important variables in biological vision. We use analytical methods, coupled with detailed neural network simulations of the appropriate circuitry, to model many of those same visual subsystems that we study with experimental approaches: motion perception, selective visual (focal) attention (Dr. Steffen Egner, Laurent Itti, Dr. Geraint Rees, Dr. Barbara Zenger, Dr. Jochen Braun), object recognition (Dr. Fabrizio Gabbiani, Rob Peters). For a cool Java applet demo of our saliency-based attention-system, click here. Visual illusions. Our laboratory exploits visual illusions, such as the Breathing Square Illusion (Java applet demo), as a window onto the algorithms and neural mechanisms underlying visual perception in primates. Al Seckel is editing and researching an extensive collection of such illusions (many of them non-visual), as well as illusory artforms and making them available to the general community via a beautiful and highly interactive website. |