9
Research Plans Computational Neuroscience Jutta Kretzberg University of Antwerp 7.6.2007 http://www.uni-oldenburg.de/ sinnesphysiologie/en/

Research Plans Computational Neuroscience

Embed Size (px)

DESCRIPTION

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

Citation preview

Page 1: Research Plans  Computational Neuroscience

Research Plans Computational Neuroscience

Jutta Kretzberg

University of Antwerp7.6.2007

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

Page 2: Research Plans  Computational Neuroscience

Important response features

Individual cells

Cell ensembles

Origin of neuronal responses

Cellular properties

Network interactions

Reliability of responses

time

Central question: Neural coding

Page 3: Research Plans  Computational Neuroscience

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Vertebrate retina

Currently used systems

Leech nervous system

Page 4: Research Plans  Computational Neuroscience

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

Page 5: Research Plans  Computational Neuroscience

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

Retinal coding - future projects

Retinal network interactions

Horizontal cell physiology

Kolb 1974

Page 6: Research Plans  Computational Neuroscience

200

Leech CNS - current project

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

Influence of ion channel distribution on spike activity

QuickTime™ and aTIFF (Uncompressed) decompressorare needed to see this picture.

Experiment Simulation

Page 7: Research Plans  Computational Neuroscience

Leech CNS - future projects

Local bend network

Stimulus

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

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

Page 8: Research Plans  Computational Neuroscience

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

Page 9: Research Plans  Computational Neuroscience

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