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Cortical pyramidal cells as non-linear oscillators: experiment and spike-generation theory
Joshua C Brumberg1, Boris S Gutkin
1Department of Psychology, Queens College of the City University of New York, Flushing, NY 11367, USA. joshua.brumberg@qc.cuny.edu
Brain Research
|August 25, 2007
Summary
Neurons exhibit phase-locking to sinusoidal stimuli, with a critical frequency determining period skipping. This neuronal response is influenced by spike generation time scales and adaptation.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- Cortical neurons generate action potentials with diverse firing patterns, including repetitive firing and bursting.
- Understanding the dynamics of neuronal firing in response to stimuli is crucial for deciphering neural computation.
Purpose of the Study:
- To investigate the origins of complex firing patterns in cortical neurons stimulated with sinusoidal inputs.
- To characterize the phase-locking behavior of neurons and its dependence on stimulus frequency and intrinsic properties.
Main Methods:
- Combined experimental recordings from cortical pyramidal cells and computational modeling using a reduced theta-neuron model.
- Analysis of neuronal responses to sinusoidal current injections at varying frequencies.
Main Results:
- Both real and simulated neurons demonstrate phase-locking to sine wave stimuli up to a critical frequency.
- Beyond the critical frequency, neurons exhibit period skipping and 1-to-x phase-locking, forming a "devil's staircase" pattern.
- The critical frequency for phase-locking is determined by the time scale of spike generation and the degree of spike frequency adaptation.
Conclusions:
- Basic properties of the spike-generating machinery can explain neuronal phase-locking to complex input patterns.
- Neuronal firing dynamics exhibit predictable patterns in response to periodic stimuli, influenced by intrinsic neuronal properties.
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