نتایج جستجو برای: feedforward

تعداد نتایج: 9468  

2008
Chikoo Oosawa Michael A. Savageau Abdul Salam Jarrah Reinhard C. Laubenbacher Eduardo D. Sontag

We demonstrate the effects of embedding subgraphs in a Boolean network, which is one of the discrete dynamic models for transcriptional regulatory networks. After comparing the dynamic properties of networks embedded with seven different subgraphs including feedback and feedforward subgraphs, we found that complexity of the state space increases with longer lengths of attractors, and the number...

2005
Gwendid T. van der Voort van der Kleij Frank van der Velde Marc de Kamps

A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to generalize its ability to identify objects to new locations in its visual field. The model consists of a feedforward network for object identification and a feedback network for object location. The feedforward network first...

2008
Chikoo Oosawa Michael A. Savageau Abdul S. Jarrah Reinhard Laubenbacher Eduardo D. Sontag

We demonstrate the effects of embedding subgraphs using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing the dynamical properties of network embedded seven different subgraphs including feedback and feedforward subgraphs, we found that complexity of the state space that increases with longer length of attractors and greate...

Journal: :Journal of Computational Neuroscience 2017

Journal: :Theoretical Computer Science 2011

Journal: :IEEE Transactions on Automatic Control 2005

2012
Adem KALINLI

One of the well-known recurrent neural networks is the Elman network. Recently, it has been used in applications of system identification. The network has feedforward and feedback connections. It can be trained essentially as a feedforward network by means of the basic backpropagation algorithm, but its feedback connections have to be kept constant. For training success, it is important to sele...

Journal: :Neuron 2015
Alexandra Smolyanskaya Ralf M. Haefner Stephen G. Lomber Richard T. Born

The activity of individual sensory neurons can be predictive of an animal's choices. These decision signals arise from network properties dependent on feedforward and feedback inputs; however, the relative contributions of these inputs are poorly understood. We determined the role of feedforward pathways to decision signals in MT by recording neuronal activity while monkeys performed motion and...

Journal: :The Journal of neuroscience : the official journal of the Society for Neuroscience 2011
Marion Najac Didier De Saint Jan Leire Reguero Pedro Grandes Serge Charpak

Olfactory sensory neurons (OSNs) expressing the same odorant receptor converge in specific glomeruli where they transmit olfactory information to mitral cells. Surprisingly, synaptic mechanisms underlying mitral cell activation are still controversial. Using patch-clamp recordings in mouse olfactory bulb slices, we demonstrate that stimulation of OSNs produces a biphasic postsynaptic excitatory...

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