Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP
By Stefan Klampfl, Wolfgang Maass. 2013
101 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Rafael Yuste
- Wolfgang Maass
- J. Urgen Schmidhuber
- Herbert Jaeger
- John M. Beggs
- Daniele Ielmini
- H. Philip Wong
In Cognitive Neuroscience
- Rafael Yuste
- Wolfgang Maass
- J. Urgen Schmidhuber
- Herbert Jaeger
- John M. Beggs
- Stefan Klampfl
- Giacomo Indiveri
- John P. Cunningham
In Electrical and Electronic Engineering
- Rafael Yuste
- Wolfgang Maass
- J. Urgen Schmidhuber
- Herbert Jaeger
- John M. Beggs
- Giacomo Indiveri
- Daniele Ielmini
- H. Philip Wong
Citations in the corpus
- From the neuron doctrine to neural networks (2015, methodology): “Spatiotemporal patterns of activity are produced in recurrent dynamical models by spike-timing-dependent synaptic plasticity and could be used as an emergent substrate for neural coding 115 .”
- Noise as a Resource for Computation and Learning in Networks of Spiking Neurons (2014, background): “This additional result is of interest, because recent experimental data suggest that networks of neurons in the brain often go through certain stereotypical trajectories (or sequences) of simple network states [40], [41]; see also the discussion in [42].”