data modelling of neuron membrane potential · journal of physiology, 117:500-544. izhikevich...
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Hideyasu SHIMADZURitei SHIBATA
Toshinobu SHIMOIKotaro OKA
(Keio University, JAPAN)
Cherry Bud Workshop 2006Building Models from Data
Keio University, Yokohama, JAPAN
Data Modelling ofData Modelling ofNeuron Neuron MembraneMembrane PotentialPotential
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30 March 2006 2
Neuron membrane potential
First part of observed data
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30 March 2006 3
Outline
BackgroundAction potential
DataIdeas for data modelling
Instantaneous change, gradual change
ModelConclusion
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Overview
Membrane potential change are caused by exchange of ions across the neuron membrane.
Neuron Membrane
K+
Na+
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30 March 2006 5
Hodgkin-Huxley model(Hodgkin & Huxley 1952)
Their ideas:Membrane Condenser;Ion channel Resistance and Battery.
http://nobelprize.org/
K+
Na+
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Izhikevich (2003, 2004), Rose and Hindmarsh (1989), Wilson (1999) etc.
Membrane potential changes conductance
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Data
Earthworm’s neuronMembrane potential 879000 observations (44 s per 0.05 ms)
Electrode
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30 March 2006 8
Words
Spike(s): instantaneous jumpCluster: dense spikesTrend: gradual change
Spike(s) Cluster Trend
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Appearance of whole data
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Basic ideas for modelling
Trend (second)Dynamic model
A spike (mili second)Dynamic model
Occurrence points of spikes(in a wink)
Stochastic model
Time scale
long
short
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Trend
=+
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30 March 2006 12
Spike
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30 March 2006 13
Electric circuit model
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30 March 2006 15
Parameter estimation
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Occurrence points of spike
Point process model (Cox and Isham 1980)
↓occurrence point of activation
(Kass and Ventura 2001, Ventura et al. 2002 etc.)
Point process model is applied for each cluster
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30 March 2006 19
Estimation of intensity function
Intensity function
Likelihood
↓occurrence point of activation
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Estimated intensity (ex. Cluster 2)
Intensity
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30 March 2006 21
Simulation
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What the model tells us?
Relationship between intensity and trend
Parameter changes of intensity function among clusters
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Relationship between intensity and trend
1500 2000 2500 3000
-2
02
46
8
time (ms)
membrane potential (mV)
1500 2000 2500 3000
-1
01
23
4
time (ms)
Trend
1500 2000 2500 3000
0.00
0.02
0.04
0.06
0.08
time (ms)
intensity
Trend
Intensity
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Parameters changes of intensity function among clusters
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30 March 2006 25
Future works
We just have a model for a cluster
What is the trend?
How build a model of relationship between clusters?
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References (1)Cleveland and Devlin (1988). Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting. Journal of the American Statistical Association, 83(403):596-610.Cox and Isham (1980). Point Processes. Chapman and Hall, London.Hodgkin and Huxley (1952). A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve. Journal of Physiology, 117:500-544.Izhikevich (2003). Simple model of spiking network. IEEE Transactions on Neural Networks 14(6):1569–1572.Izhikevich (2004). Which model to use for cortical spiking neurons? IEEE Transactions on neural networks15(5):1063-1070.
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References (2)Ogata (1981). On Lewis’ Simulation Method for Point Processes. IEEE Transactions on Information Theory IT-27(1):23-31.Kass and Ventura (2001). A spike-train probability model. Neural Computation, 13: 1713-1720.Rose and Hindmarsh (1989). The assembly of ionic currents in a thalamic neuron I. the three-dimensional model. Proceedings of the Royal Society of London. Series B, Biological Sciences 237:267–288.Ventura et al. (2002). Statistical analysis of temporal evolution in single-neuron firing rates. Biostatistics 3(1): 1-20.Wilson, H. (1999). Simplified dynamics of human and mammalian neocortical neurons. Journal of Theoretical Biology 200:375–388.
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Thank you for kind attention.Thank you for kind attention.Comments and suggestions are welcomed!Comments and suggestions are welcomed!
Hideyasu SHIMADZU(Keio University)