NBIC - Multidisciplinary scientific field at the crossroads of nanotechnologies (N), biotechnologies (B), information technology (I) and cognitive sciences (C).
Wednesday, December 22, 2021
Tech Future
Sunday, December 19, 2021
Human brain cells in a dish learn to play Pong faster than an AI
Hundreds of thousands of brain cells in a dish are being taught to play Pong by responding to pulses of electricity – and can improve their performance more quickly than an AI can.
Monday, January 18, 2021
Snap-freezing reveals a truer structure of brain connections
Scientists at EPFL (near Lausanne, Switzerland) have used a snap-freezing method to reveal the true structure of the connections that join neurons together in the adult brain.
Most synaptic connections in the adult brain are situated on dendritic spines; small, micrometer-long, protrusions extending from the neurons’ surface. The spines’ exact size and shape determine how well signals are passed from one neuron to another.
These details become very important when neuroscientists want to model brain circuits or understand how information is transmitted between neurons across the brain’s neuronal circuits. However, their small size and the difficulties in preserving brain tissue in its natural state have always left the question open as to what the true structure of the dendritic spine is.
Scientists from EPFL’s School of Life Sciences have now used a snap-freezing method of liquid nitrogen jets, combined with very high pressures, to instantaneously preserve small pieces of brain tissue. The researchers, from the labs of Graham Knott and Carl Petersen, then used high-resolution, 3D imaging with electron microscopes to reveal how the true dendritic spine structure was similar to that shown in previous studies, except for one important aspect: The instant freezing method showed dendritic spines with significantly thinner necks.
This finding validates a considerable body of theoretical and functional data going back many years, which shows that dendritic spines are chemical, as well as electrical, compartments isolated from the rest of the neuron by a thin and high-resistance neck. Variations in the neck diameter have an important impact on how a synapse influences the rest of the neuron.
“As well as revealing the true shape of these important brain structures, this work highlights the usefulness of rapid freezing methods and electron microscopy for obtaining a more detailed view of the architecture of cells and tissues,” says Graham Knott.
Tuesday, August 27, 2019
Smart interaction between proteins
Wednesday, August 14, 2019
Wednesday, May 9, 2018
Thursday, November 3, 2016
Alzheimer's, a dementia disease of the past?
The BACE1 inhibitor verubecestat (MK-8931) reduces CNS β-amyloid in animal models and in Alzheimer’s disease patients
Tuesday, April 5, 2016
New frontiers in bioscience
Thursday, March 31, 2016
Human Brain Project's Research Platforms Released
Wednesday, March 30, 2016
Neuronal Feedback Could Change What We "See"
Study from Carnegie Mellon Neuroscientists Could Explain Mechanism Behind Optical Illusions
Thursday, January 21, 2016
Brain's Memory Capacity is 10 Times Greater Than Previously Thought
The researchers recently published their work in eLife.
Synapse dysfunction can lead to a myriad of neurological disorders. But synapses exhibit varying levels of plasticity, which dictates how influential one neuron is over a neuron it’s connected to. According to the researchers, a signal traveling form one neuron to another only activates the second neuron between 10 and 20 % of the time.
Monday, December 7, 2015
Neuroscientists Now Can Read the Mind of a Fly
New technique could yield knowledge useful to understanding the human brain
Tuesday, April 30, 2013
A Robot for Analyzing Single Cells in the Living Brain
Researchers at Georgia Tech and the McGovern Institute for Brain Research at MIT have developed a way to automate the process of finding and recording information from neurons in the living brain.
The researchers have shown that a robotic arm guided by a cell-detecting computer algorithm can identify and record from neurons in the living mouse brain with better accuracy and speed than a human experimenter. Using this technique, scientists could classify the thousands of different types of cells in the brain, map how they connect to each other, and figure out how diseased cells differ from normal cells.
Animation courtesy of Ed Boyden, Sputnik Animation, and the McGovern Institute for Brain Research at MIT.

