Who says that hands-on approach doesn’t work in virtual space? We’ve said it before and we’ll say it again: science is doable, DIY-able, interactive, and it works online just as efficiently as it does in person!
Back in August 2020, the IBRO-LARC/PEDECIBA* “DIY Neuroscience and AI for all” workshop showed that the COVID-19 pandemic doesn’t have to stand in the way of hands-on neuroscience. BYB founders, Drs. Greg Gage and Tim Marzullo, who also took part in the project, tell us that student attendants from Uruguay, Argentina, Panama, Colombia, Chile, Peru were super engaged and motivated. “I had concerns about a virtual conference at first, but all fears were put to rest once seeing it play out. The discussion, questions and feedback during my lecture was better than in-person,” says Greg.
In his lecture aptly titled “Neuroscience tools for the 99%”, he recounted the humble, bohemian beginnings of Backyard Brains over a decade ago, when he and Tim invented a $100 spike in their dorm room. Building a contraption from scratch and pitching the idea to the scientific community and the public are two different things, so they came up with a satirical narrative about a zombie apocalypse to attract people to their booth at the Society for Neuroscience conference. The rest is history!
Distance learning just got a lot easier for the 7th grade students of Abington Avenue School (Newark, NJ)! Their teacher Khalil Gordon has recently won $1,000 in Neuron SpikerBox Bundles. More precisely, they will get 13 of BYB research kits that they can use for project-based science learning from the comfort of their PJs!
The funding is part of Society for Science & the Public’s STEM Research Grants totaling $100,000, awarded to 100 middle and high school teachers from all across the U.S. They put special emphasis on schools in underserved and underrepresented communities.
This year, the program was geared toward distance learning, striving to provide teachers with resources and tools that facilitate hands-on science labs that students can do at home. As we’ve already written, a Harvard study has shown how well our bioamplifiers perform in student dorms, living rooms, bedrooms, or just about anywhere.
Neuron SpikerBox and other standards-aligned Remote Labs lie at the intersection of various nerdy disciplines such as biology, electrophysiology, computer science. They are already in use in hundreds of U.S. schools, colleges and other institutions – from elementary to higher education. The tweets speak for themselves!
What lies at the intersection of math and medicine? Why many things, of course. Certainly more than could possibly fit into a blog post! But today, I am going to talk about the connection between brain function and numbers.
My name is Natalia Díaz and I am a student of Mathematical Engineering at the University of Santiago de Chile. Ever since I can remember, I have been tantalized by mathematics and medicine (especially brain function). The opportunity to mix both subjects finally arose when I entered college. That is how Neuroscience popped into my life!
To get my degree, I must complete my internship and my thesis. That’s how I started working with my mentors Dr. Patricio Rojas (University of Santiago) and Dr. Patricio Orio (University of Valparaíso). We are investigating, through numerical simulations, the effect of the electrical synapse topology between inhibitory neurons.
For this, we use a neural mathematical model of a mixed network of inhibitory and excitatory neurons of the cerebral cortex, and we study different types of topology (“all with all” or lattice style) of connection between inhibitory neurons characterizing the patterns obtained.
For example, the figure below shows a significant difference in network synchronization using different topologies. In the first yellowy-whitish graph, there is no gap junction (electrical synapse). The second shows a gap junction with a lattice topology, and in the last one we apply a gap junction with an all-to-all topology. To plot this, we use different values for the mean synaptic strength between excitatory neurons (mGsynE) and for the mean synaptic strength between inhibitory neurons (mGsynI). Lots of abbreviations, I know. But I promise they are fun!