id: 05982824
dt: a
an: 05982824
au: Lenk, Kerstin
ti: A simple phenomenological neuronal model with inhibitory and excitatory
    synapses.
so: Travieso-González, Carlos M. (ed.) et al., Advances in nonlinear speech
    processing. 5th international conference on nonlinear speech
    processing, NoLISP 2011, Las Palmas de Gran Canaria, Spain, November
    7‒9, 2011. Proceedings. Berlin: Springer (ISBN
    978-3-642-25019-4/pbk). Lecture Notes in Computer Science 7015. Lecture
    Notes in Artificial Intelligence, 232-238 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: neuronal network model; multielectrode array neurochips; spike train
    statistics
ci: 
li: doi:10.1007/978-3-642-25020-0_30
ab: Summary: We develop a simple model which simulates neuronal activity as
    observed in a neuronal network cultivated on a multielectrode array
    neurochip. The model is based on an inhomogeneous Poisson process to
    simulate neurons which are active without external input or stimulus as
    observed in neurochip experiments. Spike train statistics are applied
    to validate the resulting spike data. Calculated features adapted from
    spikes and bursts as well as the spike train statistics show that the
    presented model has potential to simulate neuronal activity.
rv: