The firing statistics of Poisson neuron models driven by slow stimuli Export

@article{Urdapilleta_2009_firing, abstract = {Abstract\ \ The coding properties of cells with different types of receptive fields have been studied for decades. ON-type neurons fire in response to positive fluctuations of the time-dependent stimulus, whereas OFF cells are driven by negative stimulus segments. Biphasic cells, in turn, are selective to up/down or down/up stimulus upstrokes. In this article, we explore the way in which different receptive fields affect the firing statistics of Poisson neuron models, when driven with slow stimuli. We find analytical expressions for the time-dependent peri-stimulus time histogram and the inter-spike interval distribution in terms of the incoming signal. Our results enable us to understand the interplay between the intrinsic and extrinsic factors that regulate the statistics of spike trains. The former depend on biophysical neural properties, whereas the latter hinge on the temporal characteristics of the input signal.}, author = {Urdapilleta, Eugenio and Samengo, In\'{e}s}, citeulike-article-id = {5873008}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s00422-009-0335-4}, citeulike-linkout-1 = {http://www.springerlink.com/content/0234820504u7602q}, day = {1}, doi = {10.1007/s00422-009-0335-4}, journal = {Biological Cybernetics}, keywords = {isi, lnp, psth, sta, theory}, month = {October}, number = {4}, pages = {265--277}, posted-at = {2009-11-09 14:17:43}, priority = {2}, title = {The firing statistics of Poisson neuron models driven by slow stimuli}, url = {http://dx.doi.org/10.1007/s00422-009-0335-4}, volume = {101}, year = {2009} }

TY - JOUR ID - Urdapilleta_2009_firing L3 - citeulike-article-id:5873008 N2 - Abstract  The coding properties of cells with different types of receptive fields have been studied for decades. ON-type neurons fire in response to positive fluctuations of the time-dependent stimulus, whereas OFF cells are driven by negative stimulus segments. Biphasic cells, in turn, are selective to up/down or down/up stimulus upstrokes. In this article, we explore the way in which different receptive fields affect the firing statistics of Poisson neuron models, when driven with slow stimuli. We find analytical expressions for the time-dependent peri-stimulus time histogram and the inter-spike interval distribution in terms of the incoming signal. Our results enable us to understand the interplay between the intrinsic and extrinsic factors that regulate the statistics of spike trains. The former depend on biophysical neural properties, whereas the latter hinge on the temporal characteristics of the input signal. IS - 4 JF - Biological Cybernetics EP - 277 TI - The firing statistics of Poisson neuron models driven by slow stimuli VL - 101 SP - 265 KW - isi KW - lnp KW - psth KW - sta KW - theory AU - Urdapilleta, Eugenio AU - Samengo, Inés PY - 2009/October/01/ UR - http://dx.doi.org/10.1007/s00422-009-0335-4 ER -