Michael Teichmann

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The human visual system has the remarkable ability to largely recognize objects invariant of their position, rotation, and scale. A good interpretation of neurobiological findings involves a computational model that simulates signal processing of the visual cortex. In part, this is likely achieved step by step from early to late areas of visual perception.(More)
A substantial number of works have aimed at modeling the receptive field properties of the primary visual cortex (V1). Their evaluation criterion is usually the similarity of the model response properties to the recorded responses from biological organisms. However, as several algorithms were able to demonstrate some degree of similarity to biological data(More)
The Heisenberg-Dirac intra-atomic exchange coupling is responsible for the formation of the atomic spin moment and thus the strongest interaction in magnetism. Therefore, it is generally assumed that intra-atomic exchange leads to a quasi-instantaneous aligning process in the magnetic moment dynamics of spins in separate, on-site atomic orbitals. Following(More)
A space-variant model for motion interpretation across the visual field A model of repetitive microsaccades, coupled with pre-microsaccadic changes in vision, is sufficient to account for both attentional capture and inhibition of return in posner cueing A computational model to account for dynamics of spatial updating of remembered visual targets across(More)
During natural vision, scene perception depends on accurate targeting of attention, anticipation of the physical consequences of motor actions, and the ability to continuously integrate visual inputs with stored representations. For example, when there is an impending eye movement, the visual system anticipates where the target will be next and, for this,(More)
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