Across mammalian species, brain waves are slower in deep cortical layers, while superficial layers generate faster rhythms.
Throughout the brain’s cortex, neurons are arranged in six distinctive layers, which can be readily seen with a microscope. A team of MIT neuroscientists has now found that these layers also show distinct patterns of electrical activity, which are consistent over many brain regions and across several animal species, including humans.
The researchers found that in the topmost layers, neuron activity is dominated by rapid oscillations known as gamma waves. In the deeper layers, slower oscillations called alpha and beta waves predominate. The universality of these patterns suggests that these oscillations are likely playing an important role across the brain, the researchers say.
One of the fundamental and timeless questions of life concerns the mechanics of its inception. Take human development, for example: how do individual cells come together to form complex structures like skin, muscles, bones, or even a brain, a finger, or a spine?
Although the answers to such questions remain unknown, one line of scientific inquiry lies in understanding gastrulation — the stage at which embryo cells develop from a single layer to a multidimensional structure with a main body axis. In humans, gastrulation happens around 14 days after conception.
Individuals with personality traits such as conscientiousness, extraversion, and positive affect are less likely to be diagnosed with dementia than those with neuroticism and negative affect, according to a new analysis by researchers at the University of California, Davis, and Northwestern University. The difference was not linked to physical damage to brain tissue found in dementia patients, but more likely to how certain personality traits help people navigate dementia-related impairments.
The work was recently published in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.
Previous studies have tried to establish links between personality traits and dementia, but these were mostly small and represented only specific populations, said Emorie Beck, assistant professor of psychology at UC Davis and first author on the paper.
Summary: A groundbreaking study by physicists and neuroscientists reveals that the connectivity among neurons stems from universal networking principles, not just biological specifics.
Analyzing various model organisms, researchers found a consistent “heavy-tailed” distribution of neural connections, guided by Hebbian dynamics, indicating that neuron connectivity relies on general network organization.
This discovery, transcending biology, potentially applies to non-biological networks like social interactions, offering insights into the fundamental nature of networking.
Understanding why we overeat unhealthy foods has been a long-standing mystery. While we know food’s strong power influences our choices, the precise circuitry in our brains behind this is unclear. The vagus nerve sends internal sensory information from the gut to the brain about the nutritional value of food. But, the molecular basis of the reward in the brain associated with what we eat has been incompletely understood.
A study published in Cell Metabolism, by a team from the Monell Chemical Senses Center, unravels the internal neural wiring, revealing separate fat and sugar craving pathways, as well as a concerning result: Combining these pathways overly triggers our desire to eat more than usual.
“Food is nature’s ultimate reinforcer,” said Monell scientist Guillaume de Lartigue, Ph.D., lead author of the study. “But why fats and sugars are particularly appealing has been a puzzle. We’ve now identified nerve cells in the gut rather than taste cells in the mouth are a key driver. We found that distinct gut–brain pathways are recruited by fats and sugars, explaining why that donut can be so irresistible.”
Factor in along w/ weird stories of secret labs in places like California.
GX_P2V had infected the lungs, bones, eyes, tracheas and brains of the dead mice, the last of which was severe enough to ultimately cause the death of the animals.
In the days before their deaths, the mice had quickly lost weight, exhibited a hunched posture, and moved extremely sluggishly.
Most eerie of all, their eyes turned completely white the day before they died.
The incredible explosion in the power of artificial intelligence is evident in daily headlines proclaiming big breakthroughs. What are the remaining differences between machine and human intelligence? Could we simulate a brain on current computer hardware if we could write the software? What are the latest advancements in the world’s largest brain model? Participate in the discussion about what AI has done and how far it has yet to go, while discovering new technologies that might allow it to get there.
ABOUT THE SPEAKERS
CHRIS ELIASMITH is the Director of the Centre for Theoretical Neuroscience (CTN) at the University of Waterloo. The CTN brings together researchers across many faculties who are interested in computational and theoretical models of neural systems. Dr Eliasmith was recently elected to the new Royal Society of Canada College of New Scholars, Artists and Scientists, one of only 90 Canadian academics to receive this honour. He is also a Canada Research Chair in Theoretical Neuroscience. His book, ‘How to build a brain’ (Oxford, 2013), describes the Semantic Pointer Architecture for constructing large-scale brain models. His team built what is currently the world’s largest functional brain model, ‘Spaun’, and the first to demonstrate realistic behaviour under biological constraints. This ground-breaking work was published in Science (November, 2012) and has been featured by CNN, BBC, Der Spiegel, Popular Science, National Geographic and CBC among many other media outlets, and was awarded the NSERC Polayni Prize for 2015.
PAUL THAGARD is a philosopher, cognitive scientist, and author of many interdisciplinary books. He is Distinguished Professor Emeritus of Philosophy at the University of Waterloo, where he founded and directed the Cognitive Science Program. He is a graduate of the Universities of Saskatchewan, Cambridge, Toronto (PhD in philosophy) and Michigan (MS in computer science). He is a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. The Canada Council has awarded him a Molson Prize (2007) and a Killam Prize (2013). His books include: The Cognitive Science of Science: Explanation, Discovery, and Conceptual Change (MIT Press, 2012); The Brain and the Meaning of Life (Princeton University Press, 2010); Hot Thought: Mechanisms and Applications of Emotional Cognition (MIT Press, 2006); and Mind: Introduction to Cognitive Science (MIT Press, 1996; second edition, 2005). Oxford University Press will publish his 3-book Treatise on Mind and Society in early 2019.
Date/Time: Wednesday, October 17, 2018 — 7:30pm. Location: Vanstone Lecture Hall, St. Jerome’s University Academic Centre.
