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» Mathematical and Computational Modeling of Neurons and Neuro...
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TNN
2008
85views more  TNN 2008»
13 years 6 months ago
Training Spiking Neuronal Networks With Applications in Engineering Tasks
In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Phill Rowcliffe, Jianfeng Feng
IJCNN
2006
IEEE
14 years 1 months ago
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...
Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
NIPS
2001
13 years 8 months ago
Orientation-Selective aVLSI Spiking Neurons
We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC...
Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri,...
ICCS
2005
Springer
14 years 16 days ago
A 3D User Interface for Visualizing Neuron Location in Invertebrate Ganglia
Abstract. Invertebrate nervous systems serve as important models for neuroscience research because they are comprised of relatively small numbers of individually identified neurons...
Jason A. Pamplin, Ying Zhu, Paul S. Katz, Rajshekh...
TCS
2008
13 years 7 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas