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The cortex of the human brain holds more than 100 trillion neural connections, or synapses, packed into a layer of tissue just 2 to 4 millimeters thick. Visualizing these densely packed units individually has proved extremely challenging. Synapses in the brain are crowded in so close together that they cannot be reliably resolved by even the best of traditional light microscopes, explains Stanford neuroscientist Stephen Smith in a press release from the university.

is called connectomics, and the neuroscientists pursuing it compare their work to early efforts in genetics. What they are doing, these scientists say, is akin to trying to crack the human genome — only this time around, they want to find how memories, personality traits and skills are stored.

“You are born with your genes, and they don’t change afterward,” said H. Sebastian Seung, a professor of computational neuroscience at the Massachusetts Institute of Technology who is working on the computer side of connectomics. “The connectome is a product of your genes and your experiences. It’s where nature meets nurture.”

A connectome is a comprehensive map of neural connections in the brain. The production and study of connectomes, known as connectomics, may range in scale from a detailed map of the full set of neurons and synapses within part or all of the nervous system of an organism to a macro scale description of the functional and structural connectivity between all cortical areas and subcortical structures. The term "connectome" is used primarily in scientific efforts to capture, map, and understand the organization of neural interactions within the brain.

It is clear that, like the genome, which is much more than just a juxtaposition of genes, the set of all neuronal connections in the brain is much more than the sum of their individual components. The genome is an entity it-self, as it is from the subtle gene interaction that [life] emerges. In a similar manner, one could consider the brain connectome, set of all neuronal connections, as one single entity, thus emphasizing the fact that the huge brain neuronal communication capacity and computational power critically relies on this subtle and incredibly complex connectivity architecture.

New research conducted at The Scripps Research Institute shows that this road atlas undergoes constant revisions as the brain of a young animal develops, with new routes forming and others dropping away in a matter of hours. "We have shown that the connectome is dynamic during development, but we expect it will also change according to an individual's experience and in response to disease,"

Cline's group has been studying how experience—the different sights and sounds and other environmental cues picked up by neurons—change connections and activities in the brain through a process known as plasticity. "Based on our prior research we expected that the connectome would be dynamic," says Cline. To start to document how the connectome changes and test current models of how the map is laid out, Cline and colleagues turned to the frog Xenopus laevis. They combined two new techniques to map in great detail all the connections that form during tadpole development in an area of the brain that receives and interprets signals from the eyes. In the nervous system, information is handed from one nerve cell to another through two arms, called dendrites and axons, stretching out from opposite sides of each cell. The axon carries information away from a nerve cell, or neuron, and passes it to the dendrite of another; dendrites receive the information, which travels through the cell to the axon. The region where information is transferred from one neuron to another (and where axons and dendrites connect) is called the synapse.

Cline's study shows instead the process is not as selective. Each growing dendrite samples not one but many possible partners before selecting one with which to maintain contact. As new branches grow from dendrites, they form many immature synapses on axons. Then, as each new dendrite branch matures, most immature synapses are eliminated; the ones not eliminated mature into stable synapses. "We did not know that dendrites make so many connections that are then removed," says Cline. "It is always fun in science when you see that what was expected is not what actually happens."

The human brain works incredibly fast but visual impressions are so complex that their processing takes up to several hundred milliseconds before they enter our consciousness.  Researchers say they know why this delay may vary in length; if you already know what you are about to see, you recognize it faster.

In an experiment, participants perceived stimuli more efficiently and faster if they knew what to expect. To investigate this, the scientists showed the participants images with a background of randomly distributed dots on a monitor. During an image sequence, the distribution of the dots systematically changed such that a symbol gradually appeared. Following each image, the participants indicated if they could see the symbol by pressing a button. As soon as the symbol had appeared fully and was clearly recognizable, the scientists presented the same image sequence in reverse order, such that the symbol gradually faded again.

“Expectations based on previously acquired information apparently help to perceive the object consciously”