Name
Title | ||
|---|---|---|
Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule. |
Abstract | ||
|---|---|---|
We present a real-time model of learning in the auditory cortex that is trained using real-world stimuli. The system consists of a peripheral and a central cortical network of spiking neurons. The synapses formed by peripheral neurons on the central ones are subject to synaptic plasticity. We implemented a biophysically realistic learning rule that depends on the precise temporal relation of pre- and postsynaptic action potentials. We demonstrate that this biologically realistic real-time neuronal system forms stable receptive fields that accurately reflect the spectral content of the input signals and that the size of these representations can be biased by global signals acting on the local learning mechanism. In addition, we show that this learning mechanism shows fast acquisition and is robust in the presence of large imbalances in the probability of occurrence of individual stimuli and noise. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TNN.2002.1000128 | IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council |
Keywords | Field | DocType |
neurophysiology,auditory cortex,learning (artificial intelligence),biophysically realistic learning rule,real time model,spectral content,real-world stimuli,sensory maps,peripheral network,stable receptive fields,sensory map learning,central cortical network,synaptic plasticity,neural nets,real-time systems,spiking neurons,synapses | Receptive field,Sensory maps,Auditory cortex,Pattern recognition,Neurophysiology,Computer science,Postsynaptic potential,Learning rule,Artificial intelligence,Stimulus (physiology),Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
13 | 3 | 1045-9227 |
Citations | PageRank | References |
7 | 1.47 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. A. Sanchez-Montanes | 1 | 8 | 1.85 |
| P Konig | 2 | 7 | 1.47 |
| P J Verschure | 3 | 17 | 3.71 |