This paper discusses work on the function of the motor cortex as revealed by single cell recordings in monkeys and artificial neural network modelling. Our key conceptual approach both in behavioural neuroscience and neural network modeling of motor cortical function relies on reconstructing, visualizing, and modelling the activity in neuronal populations, indeed a key concept advanced by Hebb ...

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...

The problem of building an AI system basing on exhausted symbolic AI paradigm forces to search for a new one in optics and neurophysiology. A pseudooptical neural network approach is considered. Prerequisites of this approach are examined. The model is an artificial network of interfering neurons. Potentials of these neurons change as a result of interference of periodical signals. Modeling of ...

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

Reinforcement learning represents a basic paradigm of learning in artificial intelligence and biology. The paradigm considers an agent (robot, human, animal) that acts in a typically stochastic environment and receives rewards when reaching certain states. The agent’s goal is to maximize the expected reward by choosing the optimal action at any given state. In a cortical implementation, the sta...

abstract desertification could cause reduction of the ecological and biological potential of land which may occur both naturally and artificially. identifying and evaluating the effective factors in development of desertification is very important for better management of land. the aim of this research is to evaluate the sensitive input parameters in the desertification condition by using of ar...

abstract one of the major factors on the amount of water resources is river flow which is so dependent to the hydrologic and meteorologic phenomena. simulation and forecasting of river flow makes the decision maker capable to effectively manage the water resources projects. so, simulation and forecasting models such as artificial neural networks (anns) are commonly used for simulation and predi...

in this search drying characteristics of green pea (pisum satium) with an initial moisture content of 76% (db) was studied in a fluidized bed dryer assisted by microwave heating. four drying air temperatures (30, 40, 50 and 60ºc) and five microwave powers (180, 360, 540, 720 and 900w) were adopted. at each drying operating conditions the volume of green pea was calculated by measuring the three...

introduction this study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. the medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. by analyzing this information, the best diagnostic parameters among the available parameters are selected and ...