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ORCIDMatthias S. Keil
Person information
- affiliation: University of Barcelona, Department of Basic Psychology
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Books and Theses
- 2002
[b1]Matthias Sven Keil:
Neural architectures for unifying brightness perception and image processing. University of Ulm, Germany, 2002, pp. 1-203
Journal Articles
- 2021
- [j10]Alejandro Lerer
, Hans Supèr, Matthias S. Keil:
Dynamic decorrelation as a unifying principle for explaining a broad range of brightness phenomena. PLoS Comput. Biol. 17(4) (2021) - 2020
- [j9]Akke Mats Houben, Matthias S. Keil:
A calcium-influx-dependent plasticity model exhibiting multiple STDP curves. J. Comput. Neurosci. 48(1): 65-84 (2020) - 2019
- [j8]Alejandro Lerer, Hans Supèr, Matthias S. Keil:
Luminance gradients and non-gradients as a cue for distinguishing reflectance and illumination in achromatic images: A computational approach. Neural Networks 110: 66-81 (2019) - 2015
- [j7]Matthias S. Keil:
Dendritic Pooling of Noisy Threshold Processes Can Explain Many Properties of a Collision-Sensitive Visual Neuron. PLoS Comput. Biol. 11(10) (2015) - 2012
- [j6]Matthias S. Keil, Joan López-Moliner:
Unifying Time to Contact Estimation and Collision Avoidance across Species. PLoS Comput. Biol. 8(8) (2012) - 2009
- [j5]Matthias S. Keil:
"I Look in Your Eyes, Honey": Internal Face Features Induce Spatial Frequency Preference for Human Face Processing. PLoS Comput. Biol. 5(3) (2009) - 2007
- [j4]Matthias Sven Keil, Jordi Vitrià:
Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control. EURASIP J. Adv. Signal Process. 2007 (2007) - 2006
- [j3]Shigang Yue, F. Claire Rind, Matthias S. Keil, Jorge Cuadri, Richard Stafford:
A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment. Neurocomputing 69(13-15): 1591-1598 (2006) - [j2]Matthias S. Keil:
Smooth Gradient Representations as a Unifying Account of Chevreul's Illusion, Mach Bands, and a Variant of the Ehrenstein Disk. Neural Comput. 18(4): 871-903 (2006) - 2005
- [j1]Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann:
Recovering real-world images from single-scale boundaries with a novel filling-in architecture. Neural Networks 18(10): 1319-1331 (2005)
Conference and Workshop Papers
- 2011
- [c4]Matthias S. Keil:
Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits. NIPS 2011: 469-477 - 2003
- [c3]Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann:
Neural mechanisms for segregation and recovering of intrinsic image features. ICIP (1) 2003: 693-696 - 2001
- [c2]Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann:
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. ICIAP 2001: 209-214 - 1999
- [c1]Matthias S. Keil, Gabriel Cristóbal, J. M. Hans du Buf, Boris Escalante-Ramírez, Luiz Pessoa:
AMOVIP: Advanced Modeling of Visual Information Processing. ICIAP 1999: 1208-1213
Coauthor Index
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