Max Planck Institute for Biological Cybernetics

Resolving the LiFePO4 Battery State beyond Voltage-Based Diagnostics Using Surface-Scan MRI

Reliable assessment of state of charge (SoC) and state of health (SoH) in commercial batteries remains a major challenge because their closed architecture obscures the underlying electrochemical, structural, and thermal processes, while existing diagnostic methods often provide o...

Operationalising the observer in psychotherapy: a second-order cybernetic process framework

Purpose This paper translates Heinz von Foerster's second-order cybernetics into an explicit process framework for psychotherapeutic practice. It examines how therapists can account for their own participation in observation, identify recursive interactional loops and design inte...

Diffusion of neuromodulators for temporal credit assignment

Biological learning achieves temporal credit assignment despite sparse and imprecise feedback, often relying on neuromodulatory signals acting over space and time. Here, we introduce a learning mechanism in which error information diffuses locally through the network, similar to...

Causal Yield Mapping and Evaluation - A Graph-Based Methodology for Process-Driven Project Steering in BIM

Current BIM quality assurance operates in isolated silos: IFC models, schedules, and issues exist in separate systems without causal linkage. A missing property is flagged as a defect, but its impact on downstream processes — which milestone it blocks, which contractual deadline...

9.4‐Tesla magnetic resonance imaging in focal epilepsy patients with high‐resolution surface‐based profiling of focal cortical dysplasias

Abstract Objective The detection of subtle epileptogenic lesions such as focal cortical dysplasias (FCDs) is a clinical challenge in the management of drug‐resistant focal epilepsy (DRFE). Ultra‐high‐field (UHF) magnetic resonance imaging (MRI) offers increased signal‐to‐noise ra...

On variability in local field potentials

Abstract Neuronal coding and decoding would be compromised if neuronal responses were highly variable. Intriguingly, neuronal spike counts (SCs) show a reduction in across-trial variance (ATV) in response to sensory stimulation, when SC variance is normalized by SC mean, that is,...

Photoreceptor-specific scene statistics reveal melanopic structure in natural environments.

), revealing photoreceptor-resolved regularities in natural melanopic input.

The choice-wide behavioral association study: data-driven identification of interpretable behavioral components

Behavior contains rich structure across many timescales, but there is a dearth of methods to identify relevant components, especially over the longer periods required for learning and decision-making. Inspired by the goals and techniques of genome-wide association studies, we pre...