Attention Modulation of Sensory Systems
Attention and arousal seems to enhance the efficiency of neural information processing. We use computer simulations of various sensory systems in order to investigate how the neurodynamics of these systems can be modulated for optimal performance in an unknown and changing environment. Using an interscale model of the insect antennal lobe, we demonstrate how attention modulation can change the sensitivity for sex pheromones. We also study how neural oscillations in mammalian olfactory cortex can serve to amplify weak signals and sustain an input pattern for more accurate information processing, and how chaotic-like behaviour could increase the sensitivity in initial, exploratory states. Finally, we use a neural network model of visual cortex area V4, in order to investigate potential cellular and network mechanisms for visual attention, reproducing experimental findings of attention induced gammafrequency synchronization.
Attention Neuromodulation Acetylcholine Olfaction Vision Neural network models Inter-scale interactions
Hans Liljenstrom Yuqiao Gu
Division of Biometry & Systems Analysis, SLU, Uppsala 750 07, Sweden Agora for Biosystems, Sigtuna SE-193 22, Sweden
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
577-584
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）