Temporal clustering with spiking neurons and dynamic synapses: Towards technological applications

Neural Networks

Volumn 14, Issue 3, 2001, Pages 275-285

  Storck, Jan ^a,b   Jäkel, Frank ^a,c   Deco, Gustavo ^a  

^a SIEMENS AG   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; POISSON DISTRIBUTION; SIGNAL DETECTION; SPEECH ANALYSIS;

DYNAMIC SYNAPSES;

NEURAL NETWORKS;

ADAPTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; DYNAMICS; LEARNING; MODEL; NERVE CELL; PATTERN RECOGNITION; PRIORITY JOURNAL; SIGNAL DETECTION; SPEECH ANALYSIS; SPIKE; SYNAPSE; TECHNOLOGY; TIME;

CLUSTER ANALYSIS; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPSES;

EID: 0035312908     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(00)00101-5     Document Type: Article

References (6)

1. A neuronal learning rule for sub-millisecond temporal coding
2. Computing and learning with dynamic synapses
3. Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses
4. Spatial and temporal pattern analysis via spiking neurons
5. An algorithm for modifying neuro-transmitter release probability based on pre- and post-synaptic spike timing