With Neuroscience Comes Art
Two subjects that you wouldn’t automatically imagine to come hand in hand, but work quite well nonetheless are neuroscience and art.
Two subjects that you wouldn’t automatically imagine to come hand in hand, but work quite well nonetheless are neuroscience and art. The Queensland Brain Institute’s 2016 Art in Neuroscience Competition will announce its winners on December 16th, but some of the entrants are listed below:
- Silvern Oldies: These hippocampal neurons are accentuated by a 19th-century silver staining method.
- That Which Makes Us Linger: This colorful image was captured using high-res microscopy and modified using a technique called “deconvolution” and gives a great perception of depth.
- Rock and Roll: This piece features a bee close up making a precise turn through a windy tunnel.
- Within the In-between: This image displays neuron’s cell bodies in shades of orange through to blue and demonstrates the way in which they all interconnect.
- Kapwa: Kapwa shows the full body of a zebrafish in a magnificent, 2D fluorescent image using different colors to represent height.
- Interconnectivity – dance of SNAREs in the dark: This image hones in on some of the most important proteins of a living fruit fly larva.
- The Great Unknown: This black and white image shows a snap shot image of a cross section of the brain.
- Dismantled Eye: A very colorful entry, this image depicts the many different layers of the insect eye.
- Starry Starry Night: A Close-up of a fish’s skin reveals the colorful patterns of yellow and black cells.
- Our Inner Universe on Alzheimer’s: An image consisting of main purples, it mimics the amyloid-beta plague that’s on our brains. It shows the difference in a visual way between that of a healthy brain and one that is affected by Alzheimer’s.
- BrainSTORM: A bright explosion of color, this image is a great image of a hippocampal neuron’s growth cone making new connections.
- Survival Instinct: This image depicts neurons at work generating that survival instinct.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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