Awesome #ChatGPT and #OpenAI plug No. 2848474 - I asked for it to create a 6 day #powerbuilding #workout program, lasting 4 months, with a #Peaking phase at the end. Also for it to provide set and rep ranges, along with #RPE and #Intensity recommendations.

And goddammit, if it’s not better than a bajillion of the other programs being sold for actual $$$.

“In relation to #cycling we can define #fitness as our ability to stand up to a given physical task or our durability to sustain an effort over time”
“great way to track fitness over time is to measure your #heartrate relative to your power data” #HRM
“most basic way to measure your improvement is simply rate of perceived exertion” #RPE
“seeking and tracking improvement is a means of motivation. Don’t let it overwhelm your love for riding” 🚴‍♀️ 🚴‍♂️ 🚴 https://www.velonews.com/training/how-to-measure-improvement-on-the-bike/ #performance #training

“In relation to #cycling we can define #fitness as our ability to stand up to a given physical task or our durability to sustain an effort over time”
“A great way to track fitness over time is to measure your #heartrate relative to your power data” #HRM
“most basic way to measure your improvement is simply rate of perceived exertion” #RPE

How to measure improvement on the bike 🚴‍♀️ 🚴‍♂️ 🚴 https://www.velonews.com/training/how-to-measure-improvement-on-the-bike/ #performance #training

With recent controversy and excitement in the #dopamine world, next comes this gem on the role of the #LC and #noradrenaline in prediction error-based learning

https://www.biorxiv.org/content/10.1101/2022.12.08.519670v1?s=08

Here, the authors showed that during decision-making, differential responses of #LC neurons match reward probabilities. Further, inhibition of the #LC disrupted learning based on #RPE

This validates another causal role for #LC heterogeneity /modularity that directly affects decision-making