Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
Pulsed neural networks
Understanding intelligence
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
Evolution of a circuit of spiking neurons for phototaxis in a Braitenberg vehicle
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Hardware spiking neural network with run-time reconfigurable connectivity in
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
A Reinforcement Learning Algorithm for Spiking Neural Networks
SYNASC '05 Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
2005 Special Issue: A regenerating spiking neural network
Neural Networks - 2005 Special issue: IJCNN 2005
Analog versus discrete neural networks
Neural Computation
Evolving spiking neuron controllers for phototaxis and phonotaxis
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Natural Computing: an international journal
| Hi-index | 0.00 |
We evolve spiking neural networks that implement a seek-push-release drive for a simple simulated agent interacting with objects The evolved agents display minimally-cognitive behavior, by switching as a function of context between the three sub-behaviors and by being able to discriminate relative object size The neural controllers have either static synapses or synapses featuring spike-timing-dependent plasticity (STDP) Both types of networks are able to solve the task with similar efficacy, but networks with plastic synapses evolved faster In the evolved networks, plasticity plays a minor role during the interaction with the environment and is used mostly to tune synapses when networks start to function.