65 citations · 107 across the 15 of their papers we have counts for
5 papers · 1 filter
Differentiable Generalised Predictive Coding
André Ofner, Sebastian Stober
This paper deals with differentiable dynamical models congruent with neural process theories that cast brain function as the hierarchical refinement of an internal generative model…
Predictive coding, precision and natural gradients
Andre Ofner, Raihan Kabir Ratul, Suhita Ghosh +1
There is an increasing convergence between biologically plausible computational models of inference and learning with local update rules and the global gradient-based optimization…
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
André Ofner, Sebastian Stober
We present PredProp, a method for optimization of weights and states in predictive coding networks (PCNs) based on the precision of propagated errors and neural activity. PredProp…
Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
Indrani Sarkar, Indranil Maji, Charitha Omprakash +3
The assessment of laboratory animal behavior is of central interest in modern neuroscience research. Behavior is typically studied in terms of pose changes, which are ideally captu…
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Anneke Meyer, Suhita Ghosh, Daniel Schindele +4
Various convolutional neural network (CNN) based concepts have been introduced for the prostate's automatic segmentation and its coarse subdivision into transition zone (TZ) and pe…