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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 5 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...
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 5 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
JCNS
2006
69views more  JCNS 2006»
13 years 5 months ago
Effects of stimulus transformations on estimates of sensory neuron selectivity
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
Alexander G. Dimitrov, Tomás Gedeon
NIPS
2003
13 years 6 months ago
A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell
The relative depth of objects causes small shifts in the left and right retinal positions of these objects, called binocular disparity. Here, we describe a neuromorphic implementa...
Eric K. C. Tsang, Bertram Emil Shi
NN
2006
Springer
234views Neural Networks» more  NN 2006»
13 years 5 months ago
Attention in natural scenes: Neurophysiological and computational bases
How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...
Edmund T. Rolls, Gustavo Deco