This review gives a short historical account of the excitable maps approach for modeling neurons and neuronal networks. Some early models, due to Pasemann (1993), Chialvo (1995) and Kinouchi and Tragtenberg (1996), are compared with more recent proposals by Rulkov (2002) and Izhikevich (2003). We also review map-based schemes for electrical and chemical synapses and some recent findings as crit...

We develop a method from semiparametric statistics (Cox, 1972) for the purpose of tracking links and connection strengths over time in a neuronal network from spike train data. We consider application of the method as implemented in Masud and Borisyuk (2011), and evaluate its use on data generated independently of the Cox model hypothesis, in particular from a spiking model of Izhikevich in fou...

A framework for a spiking model of Entorhinal Cortex, and the Dentate Gyrus and CA3 subfields of the hippocampus is developed. Taking the input to the Entorhinal Cortex as determined by influences outside the model, I define grid cells, head direction cells, and border cells in a simulated experiment in which a rat performs random foraging in a box. Cells are modeled with Izhikevich-style neuro...

Closed-loop experiments involving biological and artificial neural networks would improve the understanding of cells functioning principles lead to development new generation neuroprosthesis. Several technological challenges require be faced, as real-time spiking network emulators which could bear increasing amount data provided by High-Density Multielectrode Arrays. This work focuses on a emul...

این پژوهش به­منظور بررسی اثرات قرق بر خصوصیات پوشش گیاهی و خاک در مراتع تفتان انجام گرفت. به این منظور سه مرتع قرق (نرون، کوته، نارون) انتخاب شد و در کنار هر منطقه، یک منطقه شاهد انتخاب گردید. نمونه­برداری پوشش گیاهی در پلات­های هشت مترمربعی (با توجه به پوشش منطقه) و خاک از عمق 30-0 سانتی­متر انجام شد. داده­های پوشش گیاهی (تولید، تاج پوشش، تراکم، غنا، تنوع، یکنواختی) و خاک (بافت، اسیدیته، قابلی...

The quadratic adaptive integrate-and-fire model (Izhikevich, 2003; Izhikevich, 2007) is recognized as very interesting for its computational efficiency and its ability to reproduce many behaviors observed in cortical neurons. For this reason it is currently widely used, in particular for large scale simulations of neural networks. This model emulates the dynamics of the membrane potential of a ...