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JCNS
1998
81views more  JCNS 1998»
13 years 5 months ago
Wave Propagation Mediated by GABAB Synapse and Rebound Excitation in an Inhibitory Network: A Reduced Model Approach
A reduction method is used to analyze a spatially structured network model of inhibitory neurons. This network model displays wave propagation of postinhibitory rebound activity, w...
Zhixiong Chen, Bard Ermentrout, Xiao-Jing Wang
IEICET
2007
75views more  IEICET 2007»
13 years 5 months ago
An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is t...
Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshi...
NIPS
1997
13 years 6 months ago
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
A Lyapunov function for excitatory-inhibitory networks is constructed. The construction assumes symmetric interactions within excitatory and inhibitory populations of neurons, and...
H. Sebastian Seung, Tom J. Richardson, J. C. Lagar...
NIPS
2003
13 years 6 months ago
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
A balanced network leads to contradictory constraints on memory models, as exemplified in previous work on accommodation of synfire chains. Here we show that these constraints can...
Yuval Aviel, David Horn, Moshe Abeles
IJCNN
2007
IEEE
13 years 12 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long