LCN Seminar: Variability of neuronal signal: from diffusion models to statistical methods

Event details
Date | 31.10.2013 |
Hour | 13:30 |
Speaker | Petr LANSKY, Institute of Physiology, Academy of Sciences of the Czech Republic |
Location | |
Category | Conferences - Seminars |
A single neuron exhibits different responses to repeated identical stimuli under identical conditions. Similar stochasticity also appears in firing patterns of neurons without experimentally controlled stimulation. Existence of this variability evokes questions and studies on stochastic features of neuronal activity are an active research area.
The aim of the talk is to point to our recent results on statistical methods applicable to neuronal spiking data. In contrast to experimental approaches we do not expect to explain the principles of neuronal coding but we wish to formalize the data description and to quantify what information can be deduced from them.
The mixed notion of signal and noise in neuronal models is discussed. Even the concept of mean firing frequency can be misleading and this is enhanced for more complex characteristics. Alternative measures of variability and randomness are compared and statistical treatment of quantities beyond frequency, either from serial or parallel data, is summarized.
The aim of the talk is to point to our recent results on statistical methods applicable to neuronal spiking data. In contrast to experimental approaches we do not expect to explain the principles of neuronal coding but we wish to formalize the data description and to quantify what information can be deduced from them.
The mixed notion of signal and noise in neuronal models is discussed. Even the concept of mean firing frequency can be misleading and this is enhanced for more complex characteristics. Alternative measures of variability and randomness are compared and statistical treatment of quantities beyond frequency, either from serial or parallel data, is summarized.
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Practical information
- Informed public
- Free
- This event is internal
Organizer
- Prof. Wulfram Gerstner
Contact
- Chantal Mellier