research
∙
06/03/2023
Infomorphic networks: Locally learning neural networks derived from partial information decomposition
Understanding the intricate cooperation among individual neurons in perf...
share
research
∙
01/19/2023
Model-based assessment of sampling protocols for infectious disease genomic surveillance
Genomic surveillance of infectious diseases allows monitoring circulatin...
research
∙
12/14/2022
Evaluating vaccine allocation strategies using simulation-assisted causal modelling
Early on during a pandemic, vaccine availability is limited, requiring p...
research
∙
09/21/2022
Partial Information Decomposition Reveals the Structure of Neural Representations
In neural networks, task-relevant information is represented jointly by ...
research
∙
03/21/2022
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies
Studies investigating neural information processing often implicitly ask...
research
∙
08/23/2021
Mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants
The emergence of SARS-CoV-2 variants of concern endangers the long-term ...
research
∙
09/17/2019
Control of criticality and computation in spiking neuromorphic networks with plasticity
The critical state is assumed to be optimal for any computation in recur...
research
∙
04/20/2018
