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» Non-Boltzmann Dynamics in Networks of Spiking Neurons
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ICMLA
2010
13 years 5 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
IJCNN
2007
IEEE
14 years 1 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 7 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
JCNS
1998
65views more  JCNS 1998»
13 years 7 months ago
Synchronization and Oscillatory Dynamics in Heterogeneous, Mutually Inhibited Neurons
Abstract. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiologically relevant frequencies 10-200 Hz in a network of heterogeneous ...
John A. White, Carson C. Chow, Jason Ritt, Cristin...
ICANN
2003
Springer
14 years 25 days ago
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network
The storage and short-term memory capacities of recurrent neural networks of spiking neurons are investigated. We demonstrate that it is possible to process online many superimpose...
Julien Mayor, Wulfram Gerstner