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Dynamics and reliability of bistable neurons driven with time-dependent stimuli
Soledad Gonzalo Cogno1, Susanne Schreiber, Ines Samengo
1Centro Atómico Bariloche and Instituto Balseiro, San Carlos de Bariloche, Rio Negro 8400, Argentina s.gonzalocogno@gmail.com.
Neural Computation
|September 24, 2014
Summary
Neuron reliability depends on input signal frequency. Near threshold, optimal reliability balances spike timing jitter and attractor transitions, influenced by noise and natural system frequencies.
Area of Science:
- Computational Neuroscience
- Systems Neuroscience
- Biophysics
Background:
- Neuron firing reliability is input-frequency dependent.
- Existing models lack threshold predictions for neuron reliability.
- Subthreshold oscillations and firing rates differ at threshold.
Purpose of the Study:
- Investigate neuron reliability near threshold.
- Explore behavior in bistable neurons with various stimuli.
- Clarify frequency-dependent reliability mechanisms.
Main Methods:
- Analysis of bistable neurons near firing threshold.
- Utilized constant, periodic, and stochastic input stimuli.
- Examined noise sensitivity and mode transition probabilities.
Main Results:
- Identified two natural frequencies influencing locking modes.
- Reliability depends on noise sensitivity and transition rates.
- Minimal jitter occurs at suprathreshold firing rates.
- Noise can enhance or inhibit attractor transitions.
Conclusions:
- Reliability in bistable neurons is a balance between jitter and transitions.
- Noise plays a dual role, impacting reliability complexly.
- Threshold reliability is governed by system and input frequencies.
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