Super excited to finally release this handbook on writing good research code. Based on my experiences going from research to industry and research again. goodresearch.dev

Was reading through Nicolas P. Rougier 's Scientific Visualization book and found this great figure explaining the anatomy of a matplotlib figure. Highly recommend the book for those wanting to improve their data visualization skills

Superb paper by Josh Baxter et al. Research that directly informs training prescription They measured Achilles tendon loading biomechanics in range of exercises to establish a loading index to classify exercises hierarchically

New #preprint! We tested between OPTIMAL theory and information-processing explanations for the self-controlled learning advantage in two experiments. psyarxiv.com/n52pq/ #Tweeprint to follow

The full video from Monday's Systems Neuroscience workshop is now available, with Ben Hayden, Luiz Pessoa, Barbara Finlay, Joe LeDoux, Paul Cisek, and Patricia Churchland, and myself. The YouTube page has bookmarks to jump to each talk. youtube.com/watch?v=LWbqMP…

Today in Scientific Reports, the graph imputer, a new model that can predict where players will run, on and off-screen, using past and future available observations of subsets of players: dpmd.ai/multiagent-foo… #AISports 1/

Matplotlib has two alternatives to create plots and figures. This can be confusing for beginners… …from a beginner's perspective, it's best if there's only one way of doing things. Read on 👇🪡🧵 #python #matplotlib /1

Over the years, the lab and I have come up with various materials for science process (writing, presenting, reviewing, etc.). Here they are, loosely organized in a Google Doc. Hope it is useful! docs.google.com/document/d/1jB…

I am excited to share our new publication in the Journal of Biomechanical Engineering! In this study we developed and validated a framework for predictive simulations of treadmill gait using direct collocation methods and OpenSim Moco. asmedigitalcollection.asme.org/biomechanical/…

Want to learn Biomechanics? Professor Scott Delp at Neuromuscular Biomechanics Lab at Stanford, and Tom Uchida of University of Ottawa share an entire Biomechanics of Movement course. You can find the course here: bit.ly/3vG2068

Are you an aspiring or practicing neuroscientist who wants to learn Python for free? Dr. Mark Kramer and colleagues Boston University developed a great intro virtual book that uses Jupyter Notebooks with neuro data included. A🧵 of the topics included: PhD Voice - Independently Run Academic Chatter™

We are excited to share our new paper that predicts the onset timing of multiple motor commands (journals.physiology.org/doi/abs/10.115…). The onset timing of muscle is important for coordination and becomes impacted with several neurological disorders.

Roles and interplay between muscular co-contraction and visuomotor feedback responses when regulating movement variability. Nice work by Jan Calalo: journals.physiology.org/doi/abs/10.115…

This site has a lot of visualizations for statistics. It's really neat. rpsychologist.com/viz

We are excited to share our new paper that dives into the role of reinforcement-based processes in task redundant motor exploration (doi.org/10.1098/rspb.2…)!

Following the recent NSF DARE conference, a large team of us got together and wrote a perspective piece on where and how computational modelling can support neurorehabilitation within a clinical pipeline, by leveraging a 'patient-in-the-loop' framework: jneuroengrehab.biomedcentral.com/counter/pdf/10…

This was a ton of fun! Thanks to all the labs who helped out

Our latest paper that we are very excited about is out! "Online movements reflect ongoing deliberation." A tour de force effort by the outstanding Jan Calalo, with contributions from Mike Carter Isaac Kurtzer. biorxiv.org/content/10.110…

Come work in a great lab!

Find out why it's so hard to make decisions during time limits in this Univ. of Delaware #ArticleinPress, #Indecision under time pressure arises from suboptimal switching behaviour (Seth R. Sullivan et al.): ow.ly/UsOG50WbA64