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BC
1999
108views more  BC 1999»
13 years 9 months ago
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
An ecient new method for the exact digital simulation of time-invariant linear systems is presented. Such systems are frequently encountered as models for neuronal systems, or as s...
Stefan Rotter, Markus Diesmann
ESANN
2006
13 years 11 months ago
Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
Abstract. Current digital, directly mapped implementations of spiking neural networks use serial processing and parallel arithmetic. On a standard CPU, this might be the good choic...
Benjamin Schrauwen, Jan M. Van Campenhout
NECO
2010
147views more  NECO 2010»
13 years 8 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
BC
2006
149views more  BC 2006»
13 years 10 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
IJON
2002
91views more  IJON 2002»
13 years 9 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...