An efficient implementation of the back-propagation algorithm on the connection machine CM-2
Advances in neural information processing systems 2
Performance of connectionist learning algorithms on 2-D SIMD processor arrays
Advances in neural information processing systems 2
Neuronal Networks of the Hippocampus
Neuronal Networks of the Hippocampus
Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
General purpose processor architecture for modeling stochastic biological neuronal assemblies
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Hi-index | 0.00 |
Realistic modeling of the cat's brain advances neurobiology, while also teaching us a lesson on efficient communication among parallel processors. A scheme that can quickly propagate "spikes" of current between connected nerve cells might find use in many cases where a lot of irregular and nonlocal communication is needed.