A Quote by Lisa Genova

The well-being of a neuron depends on its ability to communicate with other neurons. Studies have shown that electrical and chemical stimulation from both a neuron's inputs and its targets support vital cellular processes. Neurons unable to connect effectively with other neurons atrophy. Useless, an abandoned neuron will die.
The human brain has 100 billion neurons, each neuron connected to 10 thousand other neurons. Sitting on your shoulders is the most complicated object in the known universe.
A typical neuron makes about ten thousand connections to neighboring neurons. Given the billions of neurons, this means there are as many connections in a single cubic centimeter of brain tissue as there are stars in the Milky Way galaxy.
There are 100 billion neurons in the adult human brain, and each neuron makes something like 1,000 to 10,000 contacts with other neurons in the brain. Based on this, people have calculated that the number of permutations and combinations of brain activity exceeds the number of elementary particles in the universe.
Show me one neuron that has some cellular semblance of free will. And there is no such neuron.
Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural network is a neuron-like node. It takes input from other nodes and sends output to others.
Synaptic summation is the technical term used in neurophysiology for those instances in which some neuron C is fired only by a combination of neurons A and B.
Your brain has a trillion neurons and every neuron has ten thousand little dendrites. The system of inter-communication is awe-inspiring.
There are billions of neurons in our brains, but what are neurons? Just cells. The brain has no knowledge until connections are made between neurons. All that we know, all that we are, comes from the way our neurons are connected.
A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.
Imagine something a million times more powerful than your smartphone that is the size of a brain cell interfacing with your biological neurons. That will be the complete symbiosis. That will be when we augment our brains at the level of the neuron.
Here is a neuron that fires when I reach and grab something, but it also fires when I watch Joe reaching and grabbing something. ... It's as though this neuron is adopting the other person's point of view.
Studies of decision-making in the monkey, where activity of single neurons in parietal cortex is recorded, you can see a lot about the time-accuracy trade-off in the monkey's decision, and you can see from the neuron's activity at what point in his accumulation of evidence he makes his decision to make a particular movement.
The circadian neurons are one of the few circuits in neurobiology where we have a chance to understand at multiple levels how different sets of neurons communicate with each other - including understanding the wiring rules, the biochemical rules, and the functional behavioral rules.
In my view, while the single neuron is the basic anatomical and information processing-signaling unit of the brain, it is not capable of generating behaviors and, ultimately, thinking. Instead, the true functional unit of the central nervous system is a population of neurons, or neural ensembles or cell assemblies.
Brain cells are normally not sensitive to light. So by introducing light-sensitive proteins into specific types of neurons, we can now selectively control that specific type of neuron by shining light in the brain.
Unlike the heart or kidney, which have a small, defined set of cell types, we still do not have a taxonomy of neurons, and neuroscientists still argue whether specific types of neurons are unique to humans. But there is no disputing that neurons are only about 10 percent of the cells in the human brain.
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