Patterns of functional damage in neural network models of associative memory
Neural Computation
A pulse-coded communications infrastructure for neuromorphic systems
Pulsed neural networks
Towards a neural network based therapy for hallucinatory disorders
Neural Networks - Special issue on the global brain: imaging and modelling
Near-Optimal All-to-All Broadcast in Multidimensional All-Port Meshes and Tori
IEEE Transactions on Parallel and Distributed Systems
Attractor Neural Networks with Hypercolumns
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Scaling All-to-All Multicast on Fat-tree Networks
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
Synaptic plasticity in spiking neural networks (SP2INN): a system approach
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Learning with limited numerical precision using the cascade-correlation algorithm
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A preliminary investigation of a neocortex model implementation on the Cray XD1
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Anatomy of a cortical simulator
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer
IBM Journal of Research and Development
Scaling analysis of a neocortex inspired cognitive model on the Cray XD1
The Journal of Supercomputing
A context switching streaming memory architecture to accelerate a neocortex model
Microprocessors & Microsystems
Implementing a hierarchical Bayesian visual cortex model on multi-core processors
Proceedings of the 47th Annual Southeast Regional Conference
Parallelizing two classes of neuromorphic models on the cell multicore architecture
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A universal abstract-time platform for real-time neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Scalable network-on-chip architecture for configurable neural networks
Microprocessors & Microsystems
Communications of the ACM
What makes a brain smart? reservoir computing as an approach for general intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
A hierachical configuration system for a massively parallel neural hardware platform
Proceedings of the 9th conference on Computing Frontiers
Neural associative memories and sparse coding
Neural Networks
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
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We propose, implement, and discuss an abstract model of the mammalian neocortex. This model is instantiated with a sparse recurrently connected neural network that has spiking leaky integrator units and continuous Hebbian learning. First we study the structure, modularization, and size of neocortex, and then we describe a generic computational model of the cortical circuitry. A characterizing feature of the model is that it is based on the modularization of neocortex into hypercolumns and minicolumns. Both a floating- and fixed-point arithmetic implementation of the model are presented along with simulation results. We conclude that an implementation on a cluster computer is not communication but computation bounded. A mouse and rat cortex sized version of our model executes in 44% and 23% of real-time respectively. Further, an instance of the model with 1.6x10^6 units and 2x10^1^1 connections performed noise reduction and pattern completion. These implementations represent the current frontier of large-scale abstract neural network simulations in terms of network size and running speed.