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Luca: can we use this in an microg experiment?

Brain electrodes wrongly implanted allow a man to reverse his memory loss

Flies that learn a task better die earlier. They say its the increased brain use that wears them out...

luca please check it out ... anything new we did not know? // TSe: it is about the old problem of the free will - when I talked about that you all killed me.

Yes, you read correctly. Apply current to your brain to get smarter. Ariadna anyone?

"Neuroscience UCLA neurophysicists have found that space-mapping neurons in the brain react differently to virtual reality than they do to real-world environments. Their findings could be significant for people who use virtual reality for gaming, military, commercial, scientific or other purposes." I wonder if we are doing it wrong with the airplane pilot simulators...

Development in brain computer interfaces developed by DARPA is progressing.

And we get another step closer to neuromorphic computing

A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain's energy-efficient computing prowess.

Another win for the tea aquarium!

Oh yes!

very relevant initiative and full of interesting questions

Recently, many competitions in the computer vision domain have been won by huge convolutional networks. In the image net competition, the convolutional network approach halves the error from ~30% to ~15%! Key changes that make this happen: weight-sharing to reduce the search space, and training with a massive GPU approach. (See also the work at IDSIA: http://www.idsia.ch/~juergen/vision.html) This should please Francisco :)

...mmmmm... they use 60 million parameters and 650,000 neurons on a task that one can somehow consider easier than (say) predicting a financial crisis ... still they get 15% of errors .... reminds me of a comic we saw once ... cat http://www.sarjis.info/stripit/abstruse-goose/496/the_singularity_is_way_over_there.png

I think the ultimate solution is still to put a human brain in a jar and use it for pattern recognition. Maybe we should get a stagiaire for this..?

A long read but very interesting and well written.

PS: Does this quote from the article not sound a lot like Inception? 'In any given situation, the brain will retrieve old memories to inform an organism's behavior. If the memory is relevant to the situation, the organism can act on the information; if it is not relevant, then the organism can learn from the situation and create a new memory. With reconsolidation, researchers argued, there seemed to be a brief window in between the retrieval of an old memory and the creation of a new memory in which the old memory is vulnerable to manipulation.'

What makes us different is the particulars of our history, which gives us our notions of purpose and goals. That's a long way of saying when we have the box on the desk that thinks as well as any brain does, the thing it doesn't have, intrinsically, is the goals and purposes that we have. Those are defined by our particulars-our particular biology, our particular psychology, our particular cultural history. The thing we have to think about as we think about the future of these things is the goals. That's what humans contribute, that's what our civilization contributes-execution of those goals; that's what we can increasingly automate.

Now this would be really cool if it had a brain computer interface and could be controlled by a trained drummer's mind! Science and Technology Society and Culture Georgia Institute of Technology researchers have built a wearable robotic limb that allows drummers to play with three arms. The two-foot long "smart arm" can be attached to a musician's shoulder. It responds to human gestures and the music it hears.

After graphene and blue brain, the European Commission has quietly announced plans to launch a €1-billion Euro project to boost a raft of quantum technologies - from secure communication networks to ultra-precise gravity sensors and clocks.

It is typically considered that brain's process of learning is highly energy efficient. While investigating how efficiently the brain can learn new information, physicists have found that, at the neuronal level, learning efficiency is ultimately limited by the laws of thermodynamics.

A new blob-like robot described in the journal Advanced Robotics uses springs, feet, "protoplasm" and a distributed nervous system to move in a manner inspired by the slime mold Physarum polycepharum. Watch it ooze across a flat surface, The Blob style: Skip to 1:00 if you just want to be creeped out by its life-like quivering.