Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction
Top Cited Papers
- 6 October 2006
- journal article
- review article
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 314 (5796) , 80-85
- https://doi.org/10.1126/science.1127240
Abstract
The fundamental building block of every nervous system is the single neuron. Understanding how these exquisitely structured elements operate is an integral part of the quest to solve the mysteries of the brain. Quantitative mathematical models have proved to be an indispensable tool in pursuing this goal. We review recent advances and examine how single-cell models on five levels of complexity, from black-box approaches to detailed compartmental simulations, address key questions about neural dynamics and signal processing.Keywords
This publication has 78 references indexed in Scilit:
- Efficient auditory codingNature, 2006
- Neural population coding of sound level adapts to stimulus statisticsNature Neuroscience, 2005
- NEURAL NETWORK DYNAMICSAnnual Review of Neuroscience, 2005
- Dejittered Spike-Conditioned Stimulus Waveforms Yield Improved Estimates of Neuronal Feature Selectivity and Spike-Timing Precision of Sensory InterneuronsJournal of Neuroscience, 2005
- Disentangling Sub-Millisecond Processes within an Auditory Transduction ChainPLoS Biology, 2005
- Which Model to Use for Cortical Spiking Neurons?IEEE Transactions on Neural Networks, 2004
- Amplification of Trial-to-Trial Response Variability by Neurons in Visual CortexPLoS Biology, 2004
- Computation in a Single Neuron: Hodgkin and Huxley RevisitedNeural Computation, 2003
- Anticipation of moving stimuli by the retinaNature, 1999
- A place theory of sound localization.Journal of Comparative and Physiological Psychology, 1948