AIMC Topic: Action Potentials

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Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 15, 2015
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....
Neural Networks, Computer Computer Simulation Animals Models, Neurological Action Potentials Neurons Synapses Biophysical Phenomena Nerve Net Biophysics
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Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks.

Chaos (Woodbury, N.Y.) Apr 1, 2015
Reliable signal propagation across distributed brain areas is an essential requirement for cognitive function, and it has been investigated extensively in computational studies where feed-forward network (FFN) is taken as a generic model. But it is s...
Humans Neural Networks, Computer Algorithms Brain Computer Simulation Animals Cognition Models, Theoretical Models, Neurological Action Potentials Signal Processing, Computer-Assisted Neurons Signal-To-Noise Ratio Nerve Net Normal Distribution Synaptic Transmission
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Multiprocessor Neural Network in Healthcare.

Studies in health technology and informatics Jan 1, 2015
A possible way of creating a multiprocessor artificial neural network is by the use of microcontrollers. The RISC processors' high performance and the large number of I/O ports mean they are greatly suitable for creating such a system. During our res...
Humans Neural Networks, Computer Animals Action Potentials Rabbits Midbrain Reticular Formation Nervous System Physiological Phenomena
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