CNS 2018 Seattle: Insights Gained by Detailed Dendritic Modeling Workshop
|When||Tue, Jul 17, 2018 — Wed, Jul 18, 2018|
Seattle, WA USA
|Topic||The Predictive Neuron: How Active Dendrites Enable Spatiotemporal Computation in the Neocortex|
Pyramidal neurons receive input from thousands of synapses spread throughout dendritic branches with diverse integration properties. The majority of these synapses have negligible impact on the soma. It is therefore a mystery how pyramidal neurons integrate the input from all these synapses and what kind of network behavior this enables in cortical tissue. It has been previously proposed that active dendrites enable neurons to recognize multiple independent patterns. In this talk, we extend this idea. We propose a model where patterns detected on active basal dendrites act as predictions by slightly depolarizing the soma without generating an action potential. A single neuron can then predict its activation in hundreds of independent contexts. We then show how a network of pyramidal neurons, combined with fast local inhibition and branch specific plasticity mechanisms, can learn complex time-based sequences and form precise predictive codes. Given the prevalence of pyramidal neurons throughout the neocortex and the importance of prediction in inference and behavior, we propose that this form of sequence memory may be a universal property of neocortical tissue.