From artificial neural networks to spiking neuron populations and back again

Neural Networks

Volumn 14, Issue 6-7, 2001, Pages 941-953

  De Kamps, Marc ^a   Van der Velde, Frank ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

Author keywords

Negative activation; Perceptrons; Population; Rate coding; Rate problems; Spiking neurons; Visual cortex

Indexed keywords

BACKPROPAGATION; FUNCTIONS;

SPIKING NEURONS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL ACTIVITY; CELL POPULATION; MATHEMATICAL MODEL; NERVE CELL; NERVE CELL MEMBRANE POTENTIAL; PRIORITY JOURNAL; SPIKE; STEADY STATE; STIMULUS RESPONSE; VISUAL CORTEX;

ACTION POTENTIALS; ANIMALS; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPTIC TRANSMISSION; VISUAL CORTEX;

EID: 0034755820     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00068-5     Document Type: Article

References (28)

1. Backpropagation in perceptrons with feedback
2. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
3. Dynamics of a recurrent network of spiking neurons before and following learning
4. Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate-spikes, rates and neuronal gain
5. A neural basis for visual search in inferior temporal cortex
6. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
7. Neocognitron - A hierarchical neural network capable of visual-pattern recognition
8. Population dynamics of spiking neurons: Fast transients, asynchronous states, and locking
9. Multilayer feedforward networks are universal approximators
10. Fast sigmoidal networks via spiking neurons
11. A model for fast analog computation based on unreliable synapses
12. Neural correlates of attentive selection for color and luminance in extrastriate area V4
13. Generalization of back-propagation to recurrent neural networks
14. Computational approaches to sensorimotor transformations
15. Hierarchical models of object recognition in cortex
16. Representation of visual features of objects in the inferotemporal cortex
17. Speed of processing in the human visual system
18. Two cortical visual systems
19. From knowing what to knowing where: Modeling object-based attention with feedback disinhibition of activation
20. Excitatory and inhibitory interactions in localized populations of model neurons
21. Release of neurotransmitters