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Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex
Published on: March 28, 2012
Rate maintenance and resonance in the entorhinal cortex
Julie S Haas1, Thomas Kreuz, Alessandro Torcini
1Institute for Nonlinear Science (INLS), University of California San Diego (UCSD), La Jolla, CA, USA. julie.haas@gmail.com
The European Journal of Neuroscience
|November 4, 2010
Summary
Neurons maintain stable firing rates despite varying synaptic inputs. Input rate matching intrinsic firing rate enhances spike reliability, revealing mechanisms for rate maintenance in neuronal response.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Neurons encode information using discrete electrical events called spikes.
- Spike generation results from the integration of synaptic inputs and intrinsic neuronal properties.
Purpose of the Study:
- To investigate how perithreshold synaptic inputs influence the output spike trains of individual neurons.
- To understand the mechanisms underlying neuronal rate maintenance and resonance.
Main Methods:
- In vitro electrophysiological recordings from entorhinal principal cells.
- Dynamic-clamp technique to introduce controlled excitatory conductance inputs.
- Development of a novel spike classification method and a minimal Markov model.
Main Results:
- Neuronal firing reliability peaked when input rate matched intrinsic firing rate.
- Neurons exhibited remarkable rate maintenance and coefficient of variation preservation across different input rates.
- Input efficacy varied with the relationship between input and intrinsic firing rates and input arrival time.
Conclusions:
- Neuronal rate maintenance is influenced by input rate relative to intrinsic firing rate and input timing.
- A Markov model successfully reproduced observed spike train statistics, aiding in understanding rate maintenance and resonance.
- Neuronal rate maintenance strength could serve as a novel classification for neuronal responses, with intrinsic spiking mechanisms potentially driving rhythmic activity like theta rhythms in the entorhinal cortex.
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