The GLP is committed to full transparency. Download and review our 2019 Annual Report

Neuroscience had a ‘transformative’ decade, giving us brain-computer interfaces, new research tools

| | January 9, 2020

This article or excerpt is included in the GLP’s daily curated selection of ideologically diverse news, opinion and analysis of biotechnology innovation.

I rarely use the words transformative or breakthrough for neuroscience findings. The brain is complex, noisy, chaotic, and often unpredictable.

But I can unabashedly say that the 2010s saw a boom in neuroscience breakthroughs that transformed the field and will resonate long into the upcoming decade.

In 2010, the idea that we’d be able to read minds, help paralyzed people walk again, incept memories, or have multi-layered brain atlases was near incomprehensible. Few predicted that deep learning, an AI model loosely inspired by neural processing in the brain, would gain prominence and feed back into decoding the brain. Around 2011, I asked a now-prominent AI researcher if we could automatically detect dying neurons in a microscope image using deep neural nets; we couldn’t get it to work. Today, AI is readily helping read, write, and map the brain.

Related article:  Feel foggy when sick? Mental sluggishness linked to inflammation

The next decade may see non-invasive ways to manipulate brain activity, such as focused ultrasound, transcranial magnetic or direct current stimulation (TMS/tDCS), and variants of optogenetics. Along with increased understanding of brain networks and dynamics, we may be able to play select neural networks like a piano and realize the dream of treating psychiatric disorders at their root.

Read full, original post: These Breakthroughs Made the 2010s the Decade of the Brain

News on human & agricultural genetics and biotechnology delivered to your inbox.
Optional. Mail on special occasions.

Send this to a friend