16 citations · 18 across the 7 of their papers we have counts for
8 papers
From Neuronal Models to Neuronal Dynamics and Image Processing
Matthias S. Keil
This paper is an introduction to the membrane potential equation for neurons. Its properties are described, as well as sample applications. Networks of these equations can be used…
A neural model of the locust visual system for detection of object approaches with real-world scenes
Matthias S. Keil, Elisenda Roca-Moreno, Angel Rodriguez-Vazquez
In the central nervous systems of animals like pigeons and locusts, neurons were identified which signal objects approaching the animal on a direct collision course. Unraveling the…
Computation of Object Approach by a Biophysical Model of a Wide-Field Visual Neuron: Dynamics, Peaks, and Fits
Matthias S. Keil
Many species show avoidance reactions in response to looming object approaches. In locusts, the corresponding escape behavior correlates with the activity of the lobula giant movem…
Does Face Image Statistics Predict a Preferred Spatial Frequency for Human Face Processing?
Matthias S. Keil
Psychophysical experiments suggested a relative importance of a narrow band of spatial frequencies for recognition of face identity in humans. There exists, however, no conclusive…
Gradient Representations and the Perception of Luminosity
Matthias S. Keil
The neuronal mechanisms that serve to distinguish between light-emitting and light reflecting objects are largely unknown. It has been suggested that luminosity perception implemen…
Face Recognition in the Machine Reveals Properties of Human Face Recognition
Matthias S. Keil, Agata Lapedriza, David Masip +1
Psychophysical studies suggest that face recognition takes place in a narrow band of low spatial frequencies (``critical band''). Here, we examined the recognition performance of a…