neurodudes

“activating synapses in a centrifugal sequence (outward from the soma) caused a different [lesser] [cortical pyramidal] neuronal response than activating the synapses in a centripetal (inward) sequence”

summary:
Alain Destexhe. Dendrites Do It in Sequences (24 September 2010)
Science 329 (5999), 1611.

article:

Tiago Branco, Beverley A. Clark, and Michael Häusser. Dendritic Discrimination of Temporal Input Sequences in Cortical Neurons (24 September 2010)
Science 329 (5999), 1671.

Expression data is now available for over 60K gene probes over the entire human brain. Click here to access this monster data set!

More info after the jump.

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Craig Venter has made a bacterium from an entirely synthesized genome (link is nice summary in WSJ). Here’s the paper in Science. Now, that that’s taken care of… who will be the first to design a “synthetic biological neural circuit”?

Jia, H., Rochefort, N., Chen, X., & Konnerth, A. (2010). Dendritic organization of sensory input to cortical neurons in vivo Nature, 464 (7293), 1307-1312 DOI: 10.1038/nature08947

Consider a a cortical neuron in V1, layer 2/3, whose output shows sharp orientation tuning. What are the orientation tunings of the most important inputs to that neuron? What is the spatial distribution of these inputs in the neuron’s dendritic tree?

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When we learn new information we use only a tiny fraction of the neurons in our brain for that particular memory trace. In order to allow the molecular study of those specific neurons we combined elements of the tet system with a promoter that is activated by high level neural activity (the cfos promoter) to generate mice in which a genetic tag can be introduced into neurons that are active at a given point in time. The tag can be maintained for a prolonged period, creating a precise record of the neural activity pattern at a specific point in time. Using fear conditioning we found that the same neurons activated during learning were reactivated when the animal recalled the fearful event. We also found that these neurons were no longer activated following memory extinction, consistent with the idea that extinction modifies a component of the original memory trace.

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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.

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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.

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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.

Watch it online at the TED website.

Neurodudes reader (and optogeneticist) Feng Zhang has designed some vector manipulation tools that are freely available online. He writes

My colleague Robert Wang and I created an online collaborative DNA Vector analysis program called everyVECTOR. We were initially motivated because all of the existing commercial software are really expensive and the free ones are not as nicely designed/intuitive to use. Also, I was always frustrated with collaborators sending me text files of DNA sequences that weren’t annotated and confusing to read.

[...] You can also the public interface (without registration) by visiting here.

We released everyVECTOR last week and so far we have received good responses from people. We have around 200 users now from the past week, mostly from the Stanford and bay area universities.

I hope all of you molecular biologists can give everyVECTOR a try and give Feng some feedback. It certainly seems much more affordable (ie. free) than its well-known competitors. I’m a big fan of web-based tools myself and find them invaluable in doing simple sequence calculations for my own projects (one of my favs is the Sequence Manipulation Suite).

Also, apologies for the decreased posting frequency… I’m trying to graduate these days and there just doesn’t seem to be enough hours for everything. I hope to return to full force soon.

This is kind of awesome. Go Stanford Hum Bio!