Ensuring proper pain relief in laboratory animals is vital for their welfare and for obtaining accurate scientific results. We retrospectively examined the effects of carprofen as post-operative analgesia in Sprague Dawley rats following stereotactic surgery.
Publication
New Article Published in bioRxiv
In this study, we employed an action-preparation task in rats, combined with bidirectional optogenetic interventions, opto-fMRI, single unit electrophysiology and local field potential synchrony measurements across PFC subsections. Our findings support a clear and simple model of action inhibition within the prefrontal network.
New Article Published in Transactions on Machine Learning Research
In this paper we propose the novel class of hierarchical inverse Q-learning (HIQL) algorithms, which extend the fixed-reward inverse Q-learning (IQL) framework from Kalweit et al. (2020) to solve multiintention IRL problems. We applied HIQL in a real mice decision-making dataset from a dynamic two-armed bandit task (De La Crompe et al., 2023), and mathematically characterized exploitation and exploration behavior of animals during value-based decision-making.
New Article Published in Neuron
How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
New Article Published in IEEE Transactions on Biomedical Circuits and Systems
In this study, we introduce the architecture, the integrated building blocks, and the post-CMOS processes required to realize a NeuroBus , and we characterize the prototyped direct digitizing neural recorder front-end as well as polyimide-based ECoG brain interface.
New Article Published in arXiv
In this study, we introduce a novel class of Latent (Markov) Variable Inverse Q-learning algorithms for characterizing animal behavior during complex decision-making tasks.
New Article Published in eNeuro
To study behavioral flexibility in freely-moving mice, we developed a versatile, low-cost, open-source behavioral setup, called FreiBox, allowing us to investigate the neuronal correlates of licking-based behavioral flexibility.
New Article Published in Neuron
This study proposes an unitary concept that, leveraging a cross-species definition of prefrontal regions, explains how prefrontal ensembles adaptively regulate and efficiently coordinate multiple processes in distinct cognitive behaviors.
New Article Published in bioRxiv
This study provides mechanistic insights into the interactions between the rostral forelimb area (RFA) and the caudal forelimb area (CFA). Specifically, we provide evidence for a differential impact of RFA on CFA depending on the task phase and the targeted CFA layers.
New Article Published in bioRxiv
Our results resolve long-standing questions about the dynamical structure of cortical activity associated with movement, and illuminate the dynamical perturbation experiments needed to understand how neural circuits throughout the brain generate complex behavior.