26 citations · 31 across the 6 of their papers we have counts for
6 papers
Neural encoding with affine feature response transforms
Lynn Le, Nils Kimman, Thirza Dado +7
Current linearizing encoding models that predict neural responses to sensory input typically neglect neuroscience-inspired constraints that could enhance model efficiency and inter…
Inverse receptive field attention for naturalistic image reconstruction from the brain
Lynn Le, Thirza Dado, Katja Seeliger +6
Visual perception in the brain largely depends on the organization of neuronal receptive fields. Although extensive research has delineated the coding principles of receptive field…
Reassessing prediction in the brain: Pre-onset neural encoding during natural listening does not reflect pre-activation
Sahel Azizpour, Britta U. Westner, Jakub Szewczyk +2
Predictive processing theories propose that the brain continuously anticipates upcoming input. However, direct neural evidence for predictive pre-activation during natural language…
Dimensions underlying the representational alignment of deep neural networks with humans
Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü +1
Determining the similarities and differences between humans and artificial intelligence (AI) is an important goal both in computational cognitive neuroscience and machine learning,…
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
Gabriëlle Ras, Luca Ambrogioni, Pim Haselager +2
In this paper we introduce the temporally factorized 3D convolution (3TConv) as an interpretable alternative to the regular 3D convolution (3DConv). In a 3TConv the 3D convolutiona…
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
Julio C. S. Jacques Junior, Yağmur Güçlütürk, Marc Pérez +8
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive resea…