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<body class='hmmessage'><div dir='ltr'>Hi<br>Inspired by the high sparsity of active neurons in the hippocampal formation, especially the dendrate gyrus, I want to create a neural network that has ensembles with neural activity limited to some percentage of the present neurons. Of course such can be done by making a self-inhibiting connection, and adjusting the weight until the desired number of neurons are active, given a certain input. I am wondering however if there is a better way to do this.<br>The classic solution is k-WTA but Eliasmith is speaking against it in "How to Build a Brain", so I am wondering what kind of solution is more biologically realistic.<br>Regards <br>Claus Agerskov, Technical University of Denmark, Biophysics and Fluids group<br> </div></body>
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