I had the chance to give during the first week at OCNC (Okinawa Computational Neuroscience Course) a tutorial on NEURON neuron_tuto. This tutorial contains some self-advertisement ;), it demonstrates that a neuron with two passive dendrites can compute a linearly non-separable function, i.e. the feature binding problem. I hope it will be useful for your work.
Home » Uncategorized » A NEURON + Python tutorial
A NEURON + Python tutorial
Start here
Latest Posts
-
Neurons Perform Better Logical Calculations Than Expected
Do artificial neurons underestimate the power of their biological counterparts? Ten years after the first theoretical predictions, researchers have shown that a single isolated neuron…
-
Book chapter
An post to point toward the book chapter I wrote at the end of my PhD.Caze2013Chap
-
Even passive dendrites extend neuron’s computation capacity
A neuron receives its input through passive or active dendrites. Active dendrites can sum excitatory inputs both below and above their sum. This feature turns…
-
Even a passive dendrite extends neuron’s computation capacity
A neuron possesses receptive organs called dendrites that are active or passive. Active dendrites can sum excitatory inputs both below and above their arithmetic sum.…
Reblogged this on Artificial Intelligence Research Blog.