A carbon nanotube cortical neuron with excitatory and inhibitory dendritic computations

Jonathan Joshi, Chih-Chieh Hsu, Alice C. Parker, Pankaj Deshmukh
2009 2009 IEEE/NIH Life Science Systems and Applications Workshop  
The design of a cortical neuron with carbon nanotube circuit elements that performs nonlinear dendritic computations with excitatory and inhibitory post-synaptic potentials is presented. The inhibitory synapse with controllable parameters that implement plasticity is described in detail. The circuit design was simulated using carbon nanotube spice models. Simulations show that the neuron fires as long as the inhibitory post-synaptic potential is weak or absent. Strong inhibitory post-synaptic potentials prevent the neuron from firing.
doi:10.1109/lissa.2009.4906727 fatcat:jef3me3bgnbnxacyhqm6vgtgqu