With panelists Karline Janmaat, Christian Tudorache, Michelle Spierings and Anne Urai, and with Tonko Zijlstra as a moderator, we had an interesting and stimulating discussion about the ethics of animal research. With expertise from ethology to behavioral biology and neuroscience, the discussion touched on issues of research culture, institutional and legal frameworks for animal studies, the broader use of animals in society and the 3 Rs in animal research.
We live in times when public trust in science is under threat, misinformation is rife, AI ethics are of increasing concern and climate change is increasingly affecting communities worldwide. How do scientists see ourselves and our role in this world, and can we use our skills for social good? This session will explore ways to to extend the impact of our scientific work beyond our laboratories and models, and will critically evaluate how to fulfil our responsibility as scientists during times of significant social and technological change. Join us for a satellite event at CCN 2025 in Amsterdam.
Philippa has been awarded an Erasmus+ travel grant to visit KU Leuven for two weeks in May. She will work in the Desender Lab with Kobe Desender and Robin Vloeberghs to apply the Hierarchical Model for Fluctuations in Criterion. She will use the model to find out how decision-making biases change over the lifespan, and how criterion fluctuations relate to changes in pupil-linked arousal.
From: Vloebergs R, Urai AE, Desender K, Linderman S (2024) A Bayesian Hierarchical Model of Trial-to-Trial Fluctuations in Decision Criterion. bioRxiv, 605869
Visiting the CoCoSys lab was an easy decision (pardon the pun). In this post, I’d like to share my experience at the lab and offer some insight for others considering a similar research visit or collaboration.
Alisa, Anne, Philippa, Isabelle, Jade and Fenying in Leiden
Scientific figures are essential for communicating your research effectively. This guide walks you through the process from raw data to publication-ready figures; and helps separate different phases of the research as we most often carry them out in the lab.
Input gathered from a CoCoSys lab meeting in March 2025.
At the beginning of my postdoc, I searched for and compared Python packages for fitting hidden Markov models. As this may be useful to other HMM fans, I am sharing the resulting table, which non-comprehensively covers various features of IOHMM and Dynamax.
Image by Robin Haak, Netherlands Institute for Neuroscience (NiN), Amsterdam, NL; 2023
What are ephys alignments – and why would you do them?
Ephys alignments, or histology – electrophysiology alignments in full, intend to align electrophysiology features of a neural recording to an anatomical histology reference (here, the Allen adult mouse brain atlas) to allow for reasonable alignment of the recording channels along the probe trajectory. This is important since mouse brains might be smaller or larger, or slightly differ in some structural landmarks. And it may be especially relevant for recordings from a Neuropixels probe (or other probes that record across multiple brain regions). Those ephys alignments are therefore a crucial prerequisite to ensure that subsequent analyses compare apples to apples, or, let’s say, spike count variability in a given region of one mouse to the spike count variability in exactly that same region in another mouse.