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.
As part of my MSc internship in the lab, I have spent the last couple of months diving into a paper by Ashwood et al. (2022), who investigated how observers switch between different strategies for perceptual decision-making over the course of long testing sessions. According to previous accounts (e.g., Wichmann & Hill, 2001), subjects maintain one main strategy during cognitive tasks, and any lapses (i.e., errors despite strong sensory evidence) arise independently of one another and of the time course of the experimental session. However, Ashwood et al. suggest that this view is not correct. Using a modelling approach based on Hidden Markov Models (HMMs), the authors found that mice switch between multiple strategies, or hidden “states”, during perceptual decision-making sessions (Figure 1). Importantly, the Markovian component of this approach implies that states are not independent of one another, but rather depend only on the state from the preceding trial, and can persist for many trials in a row. Let us look at how this modelling approach works in more detail.
Figure 1. Reprinted from Figure 1a-b of Histed and O’Rawe (2022). a. Schematic representation of the task for the IBL et al. (2021) mouse data. Mice turned a wheel to indicate whether a sinusoidal grating appeared on the left or right side of the screen. b. Recovered states according to a 3-state GLM-HMM: mice switched between an engaged state where they relied heavily on sensory evidence, to less engaged states that showed left or right biases.
took a course on mentoring organised at Princeton, and am still meeting regularly with a great mentoring circle;
taught courses on cognitive modelling, cognitive neuroscience and social dynamics;
read eclectically on systems neuroscience, mathematical psychology, dynamical systems in cognitive science, critical transitions, and social movements;
saw my beloved science Twitter collapse, and am attempting a fresh start on BlueSky;
participated in two hiring committees for the first time (turns out making good policies on such things is quite hard);
brought my toddler to a scientific workshop for the first time, and struggled to find a good balance between research trips and family life;
after losing my dad, learned the hard way how exhausting it is to grieve; that the administration after someone dies is a part-time job in and of itself; what a privilege it has been to have a mentor from another scientific field; and how lucky I am to have such supportive friends, family, lab members and colleagues.
Here’s to a 2024 with more mental calm, enough time to spend with the people most important to me, several exciting papers to write, insight and wisdom.
Today, I was inaugurated as a member of the Young Academy Leiden, a group of early-career academics who think and work together on questions of research policy, outreach and interdisciplinary collaboration.
The theme of the inauguration was ‘Engagement’, and each incoming member made a short video on the topic. See below for my contribution.
Do neuroscientists want to talk about climate change? Turns out they do, if we are to take anything from the CCN climate workshop which took place in Oxford a couple weeks ago. While a two-hour workshop after a days worth of packed neuroscience talks may not seem like a big draw, the event was packed.