Information & Decisions Across Scales: Constraints and Optimality in Neural and Biological Networks

Decision making by biomolecular phase transitions

Thermodynamic limits in far-from-equilibrium molecular templating networks

Colloquium (chair: Pierre Haas) - Perfect Adaptation in Biological Networks

The rate of information exchange between components limits noise suppression in biochemical reaction networks

Selective information transmission by protein distributions

Training chemical networks

Self-organization, criticality and collective information processing in animal groups

Noise enhances odor source localization

Decoding behavior with interpretable agent models

Quantifying goal-directed behavior in a minimal physical system

Quantifying and bounding flows of information in collective navigation

Information Flow in Living Neural Networks

Diverse functional solutions in physical learning machines

Optimal Sensing through Phase Separation

Quantification of Information Flow by Dual Reporter System and Its Application to Bacterial Chemotaxis

Adaptive navigation in bacteria and flies

Navigation driven by sensorimotor feedback

On dynamical internal representations in cells

Information theory of chemotactic agents using both spatial and temporal gradient-sensing

To steer or not to steer? Strategies for navigation with limited information

Information Processing with Limited Information and Finite Energy

Invariances and the molecular complexity in gene regulation

Structural vs chemical information transmission in toy model embryos

Modelling vasculogenesis: the emergence of a network to promote efficient transportation

Amendable decisions in living systems

State- versus reaction-based information processing in biochemical networks

TBD

Biochemical decision-making via optimized signaling trajectories: an information-theoretical approach

Statistical mechanics of connected graphs in Scrabble

Evolvability and weak synaptic linkage in foraging circuits

Adaptability through control in robotic and active systems

Attractor Dynamics in the Orbitofrontal Cortex Underlie Economic Decisions

Effective Connectivity from Spontaneous Activity Tracks Structural Networks and Brain State

How do neurons, humans, and artificial neural networks predict?