^TagJeff Lichtman

Neurons activity. Synapses and axones transmitting electrical signals. AI generated

^{Type
post

Author
News
Date
June 3, 2024

Categorized
Medicine and Health, Neuroscience

Tagged
Human brain mapping (Google project), Jeff Lichtman, Monica M. Bertagnolli, Synapses (variable numbers), Triangular neurons, Will Sullivan}

Tiny Dot of Human Brain Tissue Reveals Unexpected Insights

_{A speck of your brain can hold the data for 250 movies} _{News

June 3, 2024

4

Medicine and Health, Neuroscience}

Apart from sheer complexity, the organization of the deep brain did not turn out to be what researchers had expected. Read More ›

Endless reflections of mirrors in labyrinth house

^{Type
post

Author
Denyse O'Leary
Date
February 14, 2024

Categorized
Neuroscience, Philosophy of Mind

Tagged
Carl Sagan, Christof Koch on consciousness, Connectome and consciousness, Consciousness (search for engine of consciousness), Feeling of Life Itself (MIT Press 2019), Francis COllins on connectome, Greg Peterson, Jeff Hawkins, Jeff Lichtman, Max Tegmark, Paul D. MacLean, Perceptronium, Sebastian Seung, Tam Hunt, Triune brain theory}

Hall of Mirrors: The Many Ways Consciousness Baffles Researchers

_{Does consciousness have a seat at the table? Wait a minute. Isn’t consciousness the table? Or is it?} _{Denyse O'Leary

February 14, 2024

6

Neuroscience, Philosophy of Mind}

The human brain was bound to disappoint a pop culture quest for easy answers; brain imaging has not turned out to be a road map of the mind. Read More ›

^{Type
post

Author
News
Date
March 4, 2020

Categorized
Neuroscience, Philosophy of Mind

Tagged
brain, Connectomics, Grigori Guitchounts, Jeff Lichtman, Nematode worm, Roman Yampolskiy}

Can We Understand the Brain the Way We “Understand” New York City?

_{The “connectome” (a complete “wiring diagram” of the brain) is giving neuroscientists pause for thought} _{News

March 4, 2020

7

Neuroscience, Philosophy of Mind}

If the brain is immensely complex, it may elude complete understanding in detail. Deep Learning may survey it but that won’t convey understanding to us. We may need to look at more comprehensive ways of knowing.