Face perception is critical for normal social functioning, and is mediated by a cortical network of regions in the ventral visual stream. Comparative analysis between present deep neural network architectures for biometrics and neural architectures in the human brain is necessary for developing artificial systems with human abilities. Neuroimaging research has advanced our understanding regardi...

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

Accounting for the finding that brief prime durations facilitate perception of immediate word repetitions whereas long prime durations are detrimental, Huber and O’Reilly (2003) proposed a neural network model in which the unwanted effects of perceptual persistence are counteracted through activity dependent synaptic depression. Rieth and Huber (in prep) found similar results with immediate fac...

People with autism spectrum disorder (ASD) tend to detect local patterns of visual stimuli more quickly than global patterns, which is opposite to the behavior of typically developing people. We hypothesized that the imbalance between excitation and inhibition neurons in the visual cortex causes the local processing bias observed in ASD. Stronger inhibitory connections could diminish the neural...

Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...

In this work, the artificial neural networks (ANN) technology was applied to the simulation of oleuropein extraction process. For this technology, a 3-layer network structure is applied, and the operation factors such as  amount  of  flow  intensity  ratio,  temperature,  residence  time,  and  pH  are  used  as  input  variables  of  the network,  whereas  the  extraction  yield  is  considere...

according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...