16 citations · 16 across the 3 of their papers we have counts for
5 papers
Data-Driven Reduced Modeling of Recurrent Neural Networks
Alice Marraffa, Renate Krause, Valerio Mante +1
Artificial Recurrent Neural Networks (RNNs) are widely used in neuroscience to model the collective activity of neurons during behavioral tasks. The high dimensionality of their pa…
Items or Relations -- what do Artificial Neural Networks learn?
Renate Krause, Stefan Reimann
What has an Artificial Neural Network (ANN) learned after being successfully trained to solve a task - the set of training items or the relations between them? This question is dif…
Robust neuromorphic coupled oscillators for adaptive pacemakers
Renate Krause, Joanne J. A. van Bavel, Chenxi Wu +3
Neural coupled oscillators are a useful building block in numerous models and applications. They were analyzed extensively in theoretical studies and more recently, in biologically…
Neuromorphic Pattern Generation Circuits for Bioelectronic Medicine
Elisa Donati, Renate Krause, Giacomo Indiveri
Chronic diseases can greatly benefit from bioelectronic medicine approaches. Neuromorphic electronic circuits present ideal characteristics for the development of brain-inspired lo…
Synaptic partner prediction from point annotations in insect brains
Julia Buhmann, Renate Krause, Rodrigo Ceballos Lentini +4
High-throughput electron microscopy allows recording of lar- ge stacks of neural tissue with sufficient resolution to extract the wiring diagram of the underlying neural network. C…