2 citations · 3 across the 3 of their papers we have counts for
7 papers
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
Cassidy Pirlot, Richard C. Gerum, Cory Efird +2
As convolutional neural networks (CNNs) become more accurate at object recognition, their representations become more similar to the primate visual system. This finding has inspire…
Different Spectral Representations in Optimized Artificial Neural Networks and Brains
Richard C. Gerum, Cassidy Pirlot, Alona Fyshe +1
Recent studies suggest that artificial neural networks (ANNs) that match the spectral properties of the mammalian visual cortex -- namely, the eigenspectrum of the covar…
Predictive coding and stochastic resonance as fundamental principles of auditory perception
Achim Schilling, William Sedley, Richard Gerum +7
How is information processed in the brain during perception? Mechanistic insight is achieved only when experiments are employed to test formal or computational models. In analogy t…
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Richard C. Gerum, André Erpenbeck, Patrick Krauss +1
Modern Machine learning techniques take advantage of the exponentially rising calculation power in new generation processor units. Thus, the number of parameters which are trained…
pylustrator: Code generation for reproducible figures for publication
Richard Gerum
One major challenge in science is to make all results potentially reproducible. Thus, along with the raw data, every step from basic processing of the data, evaluation, to the gene…
Objective estimation of sensory thresholds based on neurophysiological parameters
Achim Schilling, Richard Gerum, Patrick Krauss +3
Reliable determination of sensory thresholds is the holy grail of signal detection theory. However, there exists no gold standard for the estimation of thresholds based on neurophy…