Brain and AI
To make memories, new neurons must erase older ones. Short-term memory may depend in a surprising way on the ability of newly formed neurons to erase older connections.
That's the conclusion of a report in the November 13th issue of the journal Cell, a Cell Press publication, that provides some of the first evidence in mice and rats that new neurons sprouted in the hippocampus cause the decay of short-term fear memories in that brain region, without an overall memory loss. The researchers led by Kaoru Inokuchi of The University of Toyama in Japan say the discovery shows a more important role than many would have anticipated for the erasure of memories. The Cloud and Collaboration. Paper written as a contribution to the Ars Electronica symposium on Cloud Intelligence.
Let's take as a starting point the discussion of 'cloud intelligence' on the conference website: In the cloud of connections, we each become social neurons, mimicking the biological human brain but on a giant scale. This collective knowledge is far beyond anything a single search engine could index and archive. An Analog Artificial Neural Network as Art. Phil Stearns has constructed a 45 “neuron” network of electronic parts which responds to lights and tones with a (rather cute) squealing sound.
A picture of the components for this strange device: Each “neuron” consisted of analog electronics corresponding to each of 6 functions: Input, Summing, Threshold, “Offset,” “Output,” and “Structure” (not sure about those latter three). Neuralnet 2. Brain innately separates living and non-living objects for proce. For unknown reasons, the human brain distinctly separates the handling of images of living things from images of non-living things, processing each image type in a different area of the brain.
For years, many scientists have assumed the brain segregated visual information in this manner to optimize processing the images themselves, but new research shows that even in people who have been blind since birth the brain still separates the concepts of living and non-living objects. The research, published in today's issue of Neuron, implies that the brain categorizes objects based on the different types of subsequent consideration they demand—such as whether an object is edible, or is a landmark on the way home, or is a predator to run from. They are not categorized entirely by their appearance. Neuroscience. Artificial Neural Network Lab: Java applets and GIF-animation. Artificial Neural Network Lab on the Web (To Japanese version) Demonstrations on artificial neural networks using java-applets and GIF-animations Bayesian Self-Organizing Maps (BSOM) The figures show an example of probability density distribution estimated by BSOM.
Other Neural Networks. Neural Networks - A Systematic Introduction. § Forword(PDF) § Preface(PDF) 1.