Research Plans Computational Neuroscience

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Research Plans Computational Neuroscience. Jutta Kretzberg University of Antwerp 7.6.2007 http://www.uni-oldenburg.de/sinnesphysiologie/en/. time. Central question: Neural coding. Important response features Individual cells Cell ensembles Origin of neuronal responses - PowerPoint PPT Presentation

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Research Plans Computational Neuroscience

Jutta Kretzberg

University of Antwerp7.6.2007

http://www.uni-oldenburg.de/sinnesphysiologie/en/

Important response features

Individual cells

Cell ensembles

Origin of neuronal responses

Cellular properties

Network interactions

Reliability of responses

time

Central question: Neural coding

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Vertebrate retina

Currently used systems

Leech nervous system

Latency-based retinal coding of visual stimuli during eye movements

Retinal ensemble coding under dynamic conditions

Mechanisms of retinal coding for global image movement

Multi-electrode recordings and data analysis (Bayesian reconstruction, metric-based clustering,

information-theoretic methods)

Retinal coding - current projects

Simulations based on physiological data(networks of simplified models, multi-compartment models)

Retinal coding - future projects

Retinal network interactions

Horizontal cell physiology

Kolb 1974

200

Leech CNS - current project

Electrophysiology and Simulations(intracellular recordings, multi-compartment models)

Influence of ion channel distribution on spike activity

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Experiment Simulation

Leech CNS - future projects

Local bend network

Stimulus

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Electrophysiology and Simulations(intracellular recordings, multi-compartment & network

models)

Encoding of touch stimuli

Interaction of inputs to interneurons

Sources of variability

Network interactions between sensor cells

Role of electrical connections in the network

Common interests with TNB group

Neural coding

Origin of response dynamics

Methods

Single cells

Relevant response features

Cell-intrinsic anatomy and biophysics

Intracellular & patch clamp recordings

Multi-compartment models

Spike time analysis

Multiple cells

Correlations between responses

Network interactions

Multi-electrode recordings

Network models

Correlation analysis

New impulses

Sensory coding

Well-defined input and output

Direct link to behavior

Analysis of retinal network

Multi-electrode recordings

Several data analysis methods

Analysis of leech network

Easily approachable microcircuit

Close sensory-motor interaction

Similar questions and methods: Comparison of different systems

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