Tag Archives: Neuroscience

Halloween lecture online

My Halloween lecture has been uploaded to youtube. The basic outline is: * what is intelligence? * Solomonoff induction * Hutter’s AIXI * Monte Carlo AIXI (here’s the missing video of it playing pac-man) * universal intelligence measure * what … Continue reading

Posted in Research Review | Tagged , , , , , | 4 Comments

Reinforcement learning in the brain

Model-free reinforcement learning (RL) algorithms are computationally cheap as each state-action pair keeps a cached estimate of its value that can easily be looked up in order to make a decision. Their weakness is that they are not easy to … Continue reading

Posted in Research Review | Tagged , | 3 Comments

Comprehending the scale of the human brain

Imagine the world: all the countries, all the towns, all the cities, all the mega cities, and all the 6 billion people living in them.  Think about all the places you’ve been too, and all the places you haven’t been … Continue reading

Posted in Uncategorized | Tagged , | 14 Comments

Neural networks with Nvidia CUDA

If Roadrunner is a bit beyond your budget, simulating neural networks with GPUs might be an option: The next generation of Nvidia GPUs will support enhancements such as double precision floating point in order to make them more suitable for … Continue reading

Posted in Uncategorized | Tagged , , , , , , | Leave a comment

Neural correlates of consciousness

I just saw another neuroscience paper on neural correlates of consciousness. When I first heard about this idea in a lecture series given by Christof Koch, I thought it was a good idea. I now suspect, however, that this line … Continue reading

Posted in Uncategorized | Tagged , | 7 Comments