By injecting an electrical current control stimulus into a neuron, one can change its inter-spike intervals. In this paper, we investigate the time optimal control problem for periodically firing neurons, represented by different one-dimensional phase models, and find analytical expressions for the minimum and maximum values of inter-spike intervals achievable with small bounded control stimuli...

drought stress is considered as one of the main important factors reducing field crop yield, thus leading researchers to study the related physiological characteristics may reduce drought effects. this experiment was conducted in research farm of seed and plant improvement institute (spii) in karadj, arak and jolgeh rokh for three cropping seasons (2008-2011) to evaluate drought tolerance of br...

Spiking neural networks are characterised by the spiking neuron models they use and how these spiking neurons process information communicated through spikes – the neural code. We demonstrate a plausible spiking neural network based on Spike Response Models and predictive spike-coding. When combined with a plausible reinforcement learning strategy – Attention Gated REinforcement Learning (AGREL...

An analytical description of the response properties of simple but realistic neuron models in the presence of noise is still lacking. We determine completely up to the second order the firing statistics of a single and a pair of leaky integrate-and-fire neurons (LIFs) receiving some common slowly filtered white noise. In particular, the auto-and cross-correlation functions of the output spike t...

Numerous methods have already been developed to estimate the information contained in single spike trains. In this article we explore efficient methods for estimating the information contained in the simultaneous firing activity of hundreds of neurons. Obviously such methods are needed to analyze data from multi-unit recordings. We test these methods on generic neural microcircuit models consis...

ABSTRACT- Barley (Hordeumvulgare L.) is one of the most important cereals in the world which is used as human and cattle feed and for malt production. One of the most important steps in a hybrid and selection breeding program of barley is the selection of suitable parents with high general (GCA) and specific combining ability (SCA) for grain yield. In order to estimate the combining ability and...

Several decades of research have made many advances towards the goal of interpreting the neural spike train but a comprehensive understanding remains elusive. This paper pursues this goal in the context of a new class of models termed predictive models. Predictive models characterize the cortex as a memory whose parameters can be used to predict its input. This allows the input to be economical...