Sentence examples for model neurons with from inspiring English sources

Implemented with NEURON 5.9, four model neurons with varying excitability properties affect the spatiotemporal patterning of small world networks of homogeneous and heterogeneous cell population.

Here we use phase-response curves (PRC) from Morris-Lecar (M-L) model neurons with synaptic depression and gradually decrease input current to cells within a network simulation.

We introduce and operatively present a general method to simulate channel noise in conductance-based model neurons, with modest computational overheads.

Simple model neurons with a preference for encoding either amplitude or phase also encoded their nonpreferred stimulus attribute when it was presented in isolation, suggesting that such ambiguity is unavoidable.

"... We developed a multiscale model of primary motor cortex, ranging from molecular, up to cellular, and network levels, containing 1715 compartmental model neurons with multiple ion channels and intracellular molecular dynamics.

Another method can be found in [10] where a population density equation has been derived for a population of SRM (spike-response model) neurons with escape noise.

Liu, Z., Golowasch, J., Marder, E. & Abbott, L. F. A model neuron with activity-dependent conductances regulated by multiple calcium sensors.

Visitors will be able to assemble alphabet beads into a model neuron, with letters spelling out a message.

We stimulated the model neuron with 5 segments of convoluted external noise (with τ = 3  ms ), each 10000 ms long.

We consider the dynamics of an LIF model neuron with excitatory synaptic inputs as governed by the equations v ′ = I − v − g ( v − E ), (2).

The Poisson simulation creates surrogate traces by stimulating a single model neuron with synaptic inputs.