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» Dynamics of the Firing Probability of Noisy Integrate-and-Fi...
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ALIFE
2006
15 years 7 days ago
Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...
Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin
119
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
14 years 11 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
NECO
2007
110views more  NECO 2007»
14 years 11 months ago
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
Romain Brette
123
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JCNS
2000
165views more  JCNS 2000»
14 years 12 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina