Supplementary Figure 1: A schematic illustrating the main finding. Slow gamma is maximal on the descending portion of the theta wave, and fast gamma peaks near the trough. Slow gamma serves to synchronize CA1 with inputs arriving from CA3, and fast gamma synchronizes CA1 with MEC input.
Replay of behavioral sequences in the hippocampus during sharp wave ripple complexes (SWRs) provides a potential mechanism for memory consolidation and the learning of knowledge structures. Current hypotheses imply that replay should straightforwardly reflect recent experience. However, we find these hypotheses to be incompatible with the content of replay on a task with two distinct behavioral sequences (A and B). We observed forward and backward replay of B even when rats had been performing A for >10 min. Furthermore, replay of nonlocal sequence B occurred more often when B was infrequently experienced. Neither forward nor backward sequences preferentially represented highly experienced trajectories within a session. Additionally, we observed the construction of never-experienced novel-path sequences. These observations challenge the idea that sequence activation during SWRs is a simple replay of recent experience. Instead, replay reflected all physically available trajectories within the environment, suggesting a potential role in active learning and maintenance of the cognitive map.
CNN News ran a segment last month on the meaning and impact of intelligence on a person’s life, as measured through a test such as the Wechsler Adult Intelligence Scale which gives an “IQ.” Dr. John Gabrieli of MIT displays brain scans that show functional differences between brains of low IQ and high IQ subjects while completing intelligence tests in an MRI scanner. The higher IQ brain shows less activity than the lower IQ brain during the same task, indicating that smarter brains are more efficient.
The findings on IQ mentioned in the report are remarkable. The standing debate on the importance of IQ is also on display here. Researchers have found that 25% of what makes one successful can be attributed to IQ -but Dr. Gabrieli points to findings that increases in IQ are linked to “a better paying job, a healthy future, more stability in your family life.” This makes the prospect of “training intelligence” to increase IQ scores all the more alluring and relevant. A demonstration of a computer working memory task that is used to “train intelligence” is featured in the segment.
Watch the segment here:
http://cnn.com/video/?/video/health/2010/03/22/am.cho.intelligence.part1.cnn
Read more about the working memory task featured in the segment:
http://www.pnas.org/content/early/2008/04/25/0801268105.abstract
-A Neurodudes Reader
You’ve probably read by now about the announcement by IBM’s Cognitive Computing group that they had created a “computer system that simulates and emulates the brain’s abilities for sensation, perception, action, interaction and cognition” at the “scale of a cat cortex”. For their work, the IBM team led by Dharmendra Modha was awarded the ACM Gordon Bell prize, which recognizes “outstanding achievement in high-performance computing”.
A few days later, Henry Markram, leader of the Blue Brain Project at EPFL, sent off an e-mail to IBM CTO Bernard Meyerson harshly criticizing the IBM press release, and cc’ed several reporters. This brought a spate of shock media into the usually placid arena of computational neuroscience reporting, with headlines such as “IBM’s cat-brain sim a ‘scam,’ says Swiss boffin: Neuroscientist hairs on end”, and “Meow! IBM cat brain simulation dissed as ‘hoax’ by rival scientist”. One reporter chose to highlight the rivalry as cat versus rat, using the different animal model choice of the two researchers as a theme. Since then, additional criticisms from Markram have appeared online.
Find out more after the jump.
A very cool article on a new open source, online system to crowd source the assemblage of data in neuroscience from the Voice of San Diego. From the article:
Traditionally, the study of the brain was organized somewhat like an archipelago. Neuroscientists would inhabit their own island or peninsula of the brain, and see little reason to venture elsewhere.
Molecular neuroscientists, who study how DNA and RNA function in the brain, didn’t share their work with cognitive specialists who study how psychological and cognitive functions are produced by the brain, for example.
But there has been an awakening to the idea that brains of humans and mammals should be studied like the complex, and interrelated systems that they are. Neuroscientists realized that they had to start collaborating across disciplines and sharing their data if they wanted to make advances in their own field.
[...]
Ellisman and his UCSD colleagues have devised a solution: crowdsource a brain. And this week they unveiled their years-long project — the Whole Brain Catalog — at the annual convention of the Society for Neuroscience, the largest gathering of brain experts in the world.
We had read that Dr. Henry Markram of the Blue Brain project had given a talk at TED (technology, entertainment, design), but the video wasn’t released until this month. This talk is geared towards a general audience, rather than getting into the specific details of the Blue Brain project, as he has before. It is engaging and includes many suggestions towards the future of neuroscience and AI.
http://dx.doi.org/10.1126/science.1171203
http://www.nytimes.com/2009/08/18/science/18angier.html:
To rattle the rats to the point where their stress response remained demonstrably hyperactive, the researchers exposed the animals to four weeks of varying stressors: moderate electric shocks, being encaged with dominant rats, prolonged dunks in water. Those chronically stressed animals were then compared with nonstressed peers. The stressed rats had no trouble learning a task like pressing a bar to get a food pellet or a squirt of sugar water, but they had difficulty deciding when to stop pressing the bar, as normal rats easily did.
…Happily, the stress-induced changes in behavior and brain appear to be reversible….
But with only four weeks’ vacation in a supportive setting free of bullies and Tasers, the formerly stressed rats looked just like the controls, able to innovate, discriminate and lay off the bar. Atrophied synaptic connections in the decisive regions of the prefrontal cortex resprouted, while the overgrown dendritic vines of the habit-prone sensorimotor striatum retreated.
The journal, Frontiers in Neuroscience, edited by Idan Segev, has made it Volume 3, issue 1. Launching last year at the Society for Neuroscience conference, its probably the newest Neuroscience-related journal.
I’m a fan of it because it is an open-access journal featuring a “tiered system” and more. From their website:
The Frontiers Journal Series is not just another journal. It is a new approach to scientific publishing. As service to scientists, it is driven by researchers for researchers but it also serves the interests of the general public. Frontiers disseminates research in a tiered system that begins with original articles submitted to Specialty Journals. It evaluates research truly democratically and objectively based on the reading activity of the scientific communities and the public. And it drives the most outstanding and relevant research up to the next tier journals, the Field Journals.
Recently, the most famous (and most studied) person in neuroscience died. Science has a nice piece on the planning and post-morten examination of this most famous brain:
[Suzanne] Corkin delivered Cryopaks to his nursing home in Windsor Locks, Connecticut. “They kept them in the freezer so that the moment he died they could wrap his head to preserve the brain,” she says. When Molaison [ie. H.M.] died of respiratory failure at 5:05 p.m. on 8 December 2008, the plan sprang into action. A hearse took his body to Massachusetts General Hospital (MGH) in Charlestown, where researchers began collecting anatomical magnetic resonance imaging (MRI) scans of his brain at about 9 p.m.—and continued until 6 a.m. the next day, when Annese arrived on a red-eye flight from San Diego.
Jacopo Annese, a neuroanatomist at UCSD, is planning on putting H.M.’s whole brain online on his website. But before that happens, he has a rather huge task before him:
Using a microtome, he will slice the brain into very thin sections. “Like prosciutto,” he says, but less than 1/20 the thickness and a lot more fragile. Annese aims to slice the brain whole instead of first cutting it into smaller chunks as is more routinely done. Small chunks are much easier to work with, but the resulting slices are hard to keep in register with one another. Whole-brain slices will keep more of the tissue intact and result in a more faithful reconstruction of the brain, he says. Annese estimates he will end up with about 2600 slices of Molaison’s brain. He and his colleagues will mount some of these, perhaps every 12th one to start, on extra-large glass slides—13 by 18 centimeters—and treat them with a stain that colors cell bodies purple. A camera attached to a microscope will photograph each slice at 20x magnification, sufficient to distinguish different cell types. At that magnification, photographing a single slice will require a mosaic of about 40,000 individual images.
And there is some stress that comes from dealing with such a one-of-a-kind specimen:
But a lot could go wrong. The MRI scans reveal deterioration of the white matter, Annese says, which might make the slices especially delicate and prone to tearing. An even more nightmarish scenario is a cracked brain, he says. Sometimes, a brain will freeze unevenly and break apart—destroying it before it can be sliced. Annese is taking every precaution, but he’s not taking anything for granted. “Cutting will make or break the project,” he says. “But if the brain cracks, I go back to Italy.”
A cutting-edge application of the Affy total human exome GeneChip (4X coverage per exon, 40X coverage per gene): Functional and Evolutionary Insights into Human Brain Development through Global Transcriptome Analysis.
From the News and Views, I was intrigued to learn that previous transcriptome analyses of adult human brains found very little difference in gene expression between brain areas:
[...] this suggests that it is the gene expression during development that largely determines higher brain functions by specifying the complexity of neural connections. Numerically, the most important genes relating to cognitive differences between species may be genes that specify how the machinery is put together. In support of this hypothesis, many of the identified differentially expressed genes in this study are related to processes involved in connection formation, such as axonal guidance and cell adhesion.
An impressive 76% of all human genes are expressed in the developing fetal brain. Of those, 33% are differentially expressed over brain regions (13 regions were examined) and 28% are alternatively spliced. The differentially expressed genes are also ones that seem to have evolved the most recently. Even in these early (midgestation) stages, left-right asymmetry was seen, such as the localization of the language-associated FOXP2 genes to Broca’s area.
Of interest to computational folks, they find that gene expression follows power-law scaling (as many other naturally occurring “small-worlds” networks do) with certain hub genes connected to many others and certain spoke genes with relatively few connections. Unsupervised hierarchical clustering is used in this analysis.