Computational model
Human tactile FA1 neurons (Hay and Pruszynski 2020)
Etay Hay
Hay2020 [82870368]
"... we show that synaptic integration across the complex signals from the first-order neuronal population could underlie human ability to accurately (< 3°) and rapidly process the orientation of edges moving across the fingertip. We first derive spiking models of human first-order tactile neurons that fit and predict responses to moving edges with high accuracy. We then use the model neurons in simulating the peripheral neuronal population that innervates a fingertip. We train classifiers performing synaptic integration across the neuronal population activity, and show that synaptic integration across first-order neurons can process edge orientations with high acuity and speed. ... our models suggest that integration of fast-decaying (AMPA-like) synaptic inputs within short timescales is critical for discriminating fine orientations, whereas integration of slow-decaying (NMDA-like) synaptic inputs supports discrimination of coarser orientations and maintains robustness over longer timescales"
Tactile FA1 Neuron
Other categories referring to Human tactile FA1 neurons (Hay and Pruszynski 2020)
Revisions: 12
Last Time: 12/9/2020 10:45:35 AM
Reviewer: System Administrator
Owner: Etay Hay