论文信息 - A Simple Probabilistic Neural Model Producing Multimodal ISHs

A Simple Probabilistic Neural Model Producing Multimodal ISHs

Simple probabilistic neural models can be used to study the information processing occurring in the brain. Suitable models have to reproduce complex Interspike Histograms (ISHs) observed experimentally, but have to be simple enough to allow theoretical analysis. The simple probabilistic integrate and fire model we present in this paper can be used to identify the origin of peaks appearing in complex multimodal ISHs.

Paul M. Hofman | Francisco de Borja Rodríguez Ortiz | Juan A. Sigüenza | Santiago Carrillo-Menéndez | Vicente López

[1] B. Mandelbrot,et al. RANDOM WALK MODELS FOR THE SPIKE ACTIVITY OF A SINGLE NEURON. , 1964, Biophysical journal.

[2] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1951 .

[3] José R. Dorronsoro,et al. Stochastic Specificity in Neural Interaction , 1993 .

[4] C. Koch,et al. Some reflections on visual awareness. , 1990, Cold Spring Harbor symposia on quantitative biology.

[5] Henry C. Tuckwell,et al. Stochastic processes in the neurosciences , 1989 .

[6] K. Schäfer,et al. Oscillation and noise determine signal transduction in shark multimodal sensory cells , 1994, Nature.