Computational model
Theory of sequence memory in neocortex (Hawkins & Ahmad 2016) [1191679]
"... First we show that a neuron with several thousand synapses segregated on active dendrites can recognize hundreds of independent patterns of cellular activity even in the presence of large amounts of noise and pattern variation. We then propose a neuron model where patterns detected on proximal dendrites lead to action potentials, defining the classic receptive field of the neuron, and patterns detected on basal and apical dendrites act as predictions by slightly depolarizing the neuron without generating an action potential. By this mechanism, a neuron can predict its activation in hundreds of independent contexts. We then present a network model based on neurons with these properties that learns time-based sequences. ..."
  • Neocortex L2/3 pyramidal GLU cell Show Other
  • Neocortex L5/6 pyramidal GLU cell Show Other
  • Ahmad, Subutai [sahmad at] Show Other
Other categories referring to Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
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Last Time: 7/20/2016 11:42:30 AM
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