6 papers
Mutual Information Rate -- Linear Noise Approximation and Exact Computation
Manuel Reinhardt, Age J. Tjalma, Anne-Lena Moor +2
Efficient information processing is crucial for both living organisms and engineered systems. The mutual information rate, a core concept of information theory, quantifies the amou…
Intuitive dissection of the Gaussian information bottleneck method with an application to optimal prediction
Vahe Galstyan, Age Tjalma, Pieter Rein ten Wolde
Efficient signal representation is essential for the functioning of living and artificial systems operating under resource constraints. A widely recognized framework for deriving s…
State- versus Reaction-Based Information Processing in Biochemical Networks
Anne-Lena Moor, Age Tjalma, Manuel Reinhardt +2
Trajectory mutual information is frequently used to quantify information transfer in biochemical systems. Tractable solutions of the trajectory mutual information can be obtained v…
Predicting concentration changes via discrete sampling
Age J. Tjalma, Pieter Rein ten Wolde
To successfully navigate chemical gradients, microorganisms need to predict how the ligand concentration changes in space. Due to their limited size, they do not take a spatial der…
Predicting a noisy signal: the costs and benefits of time averaging as a noise mitigation strategy
Jenny Poulton, Age Tjalma, Lotte Slim +1
One major challenge for living cells is the measurement and prediction of signals corrupted by noise. In general, cells need to make decisions based on their compressed representat…
Trade-offs between cost and information in cellular prediction
Age J. Tjalma, Vahe Galstyan, Jeroen Goedhart +3
Living cells can leverage correlations in environmental fluctuations to predict the future environment and mount a response ahead of time. To this end, cells need to encode the pas…