State-dependent computations: spatiotemporal processing in cortical networks
Top Cited Papers
- 15 January 2009
- journal article
- review article
- Published by Springer Nature in Nature Reviews Neuroscience
- Vol. 10 (2) , 113-125
- https://doi.org/10.1038/nrn2558
Abstract
A conspicuous ability of the brain is to seamlessly assimilate and process spatial and temporal features of sensory stimuli. This ability is indispensable for the recognition of natural stimuli. Yet, a general computational framework for processing spatiotemporal stimuli remains elusive. Recent theoretical and experimental work suggests that spatiotemporal processing emerges from the interaction between incoming stimuli and the internal dynamic state of neural networks, including not only their ongoing spiking activity but also their 'hidden' neuronal states, such as short-term synaptic plasticity.Keywords
This publication has 99 references indexed in Scilit:
- Memory traces in dynamical systemsProceedings of the National Academy of Sciences, 2008
- Cortical activity patterns predict speech discrimination abilityNature Neuroscience, 2008
- Large-scale model of mammalian thalamocortical systemsProceedings of the National Academy of Sciences, 2008
- Techniques for extracting single-trial activity patterns from large-scale neural recordingsCurrent Opinion in Neurobiology, 2007
- Timing in the Absence of Clocks: Encoding Time in Neural Network StatesNeuron, 2007
- Transient Dynamics versus Fixed Points in Odor Representations by Locust Antennal Lobe Projection NeuronsNeuron, 2005
- Neural signatures of cell assembly organizationNature Reviews Neuroscience, 2005
- Calcium signalling: dynamics, homeostasis and remodellingNature Reviews Molecular Cell Biology, 2003
- Olfactory network dynamics and the coding of multidimensional signalsNature Reviews Neuroscience, 2002
- Cortical Development and Remapping through Spike Timing-Dependent PlasticityNeuron, 2001