Researchers from the MRC Brain Network Dynamics Unit and Oxford University’s Department of Computer Science have set out a new principle to explain how the brain adjusts connections between neurons during learning.This new insight may guide further research on learning in brain networks and may inspire faster and more robust learning algorithms in artificial intelligence....
by Bob Yirka , Medical Xpress Fig. 1 Schematic depiction of the experimental paradigm and SCR results. (A) Trial structure and timeline for a single CS trial. The visual stimulus was presented for 4000 ms followed by an 8000- to 10,000-ms intertrial interval. A 15-ms electric stimulation (US) occurred at the end of 50% of...
GENTLY REMOVING DEAD CELLS MEANS BETTER PHARMA RESEARCH AND 3D PRINTING. In the delicate work of bioengineering, dead cells get everywhere — and become a major nuisance. Now, Stanford scientists have figured out how to separate the dead cells from the living, using magnetic levitation, gently pulling them away from the still-useful survivors without ripping...
Image representing the old synaptic (red) and new dendritic (green) learning scenarios of the brain. In the center a neuron with two dendritic trees collects incoming signals via many thousands of tiny adjustable learning parameters, the …more The brain is a complex network containing billions of neurons, where each of these neurons communicates simultaneously with...
