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Neuronal Network Laboratory
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Understanding
how neurones communicate with each other requires a detailed knowledge
not only of the anatomical arrangement of the neuronal networks, but knowledge
of the events at the points of contact (synaptic transmission) and how
this can be modulated by prior or concurrent activity.
Our group
is working at the level of single neuronal cells in acute slices of rodent
brain tissue. We are set-up to visualise and record from living cells
within a slice of tissue. We can also inject biochemical markers to help
identify the cells for subsequent morphological analysis. In our experiments
we can determine the strength of connections (synapses) between cells
as well as the cellular properties of the receiving cell which determine
the processing of afferent information.
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| Christian Stricker |
Anna Cowan |
| Assoc. Prof. ANUMS | Research Fellow JCSMR
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Potential Projects
If you
are interested in doing a PhD or Honours project in our laboratory, we are interested
in talking with you. Potential projects are available in the following areas:
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Determine synaptic properties
in small networks of neurones in rat brain slices. Our laboratory uses electrophysiological
recording of synaptically connected pairs of neurones to investigate properties of synaptic transmission
as well as short and long-term plasticity.
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Calcium
imaging of presynaptic terminals. We investigate the role of intracellular
calcium stores in synaptic transmission and short-term plasticity.
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Modelling of synaptic
depression/facilitation/augmentation at cortical synapses.
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Modelling of presynaptic
calcium dynamics during synaptic depression.
- Mathematical models of
non-random features of synaptic transmission.
- Electrophysiology and quantal analysis of synaptic transmission combined with histological processing and computer-assisted reconstruction of connected cell pairs and their release sites.
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Scientific
Goals
We work in
three different areas, each addressing a particular cellular property of
transmission between cells. We record from cell pairs in various layers
of cerebral cortex and investigate the characteristics of communication
between cells. The goal is to determine the efficacy of the contacts between
the cells, the mechanisms underlying its
modulation, as well as the efficiency of information transfer between cells.
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The efficacy
of intercellular communication can change over time, i.e. the synapses are
plastic. This is an important feature allowing the brain to adjust efficiently to changes
in the environment. It is the basis of learning and memory. We are investigating
aspects of both short- and long-term plasticity in the cortex. We are also
interested in how different neuronal networks show specific forms of plasticity.
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Using Two
Photon Laser Scanning Microscopy (TPLSM) we can image changes of calcium
concentration within nerve terminals. Our aim is to investigate the sources
of calcium that contribute to spontaneous and evoked synaptic transmission
as well as calcium dynamics during short-term plasticity.
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The electrical
activity of presynaptic neurones is communicated via a chemical signal
at the synapse to the postsynaptic cells where it is again converted to
an electrical response. The postsynaptic specialisation of the synapse
distant from the cell body on long processes (dendrites). This allows
interaction between numerous cells (because of the large surface area
for contacts) but has the disadvantage that much of the current initiated
at the synapse is lost over the surface area of the cell. In most instances only the current
arriving at the cell body contributes to the discharge of the cell. We can
build synthetic synapses on the living dendrite, inject a known current
at this location, and quantify the amount of current that arrives at the
cell body. Using this technique we can measure the interaction between
specific synaptic sites and the cell body.
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Our investigations
will lead to a detailed and quantitative understanding of how neuronal
microcircuits are built in our brain.
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Recent Publications
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Fuhrmann, G.,
A.I. Cowan, I. Segev, M. V. Tsodyks, and C. Stricker, 2004, Multiple Mechanisms
Govern Synaptic Dynamics at Neocortical Synapses: J Physiol, (in press).
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Cowan, A. I.,
and C. Stricker, 2003, Functional Connectivity in Layer IV Local Circuits
of Rat Somatosensory Cortex: J Neurophysiol, (submitted).
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Simkus, C.
R. L., and C. Stricker, 2002, Analysis of mEPSCs Recorded in Layer II Neurons
of Rat Barrel Cortex: J Physiol, 545:509-520.
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Simkus, C.
R. L., and C. Stricker, 2002, The Contribution of Intracellular Calcium
Stores to mEPSCs Recorded in Layer II Neurons of Rat Barrel Cortex: J Physiol,
545:521-535.
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Gao, B.-X.,
C. Stricker, and L. Ziskind-Conhaim, 2001, Transition from GABAergic to
Glycinergic Synaptic Transmission in Newly Formed Spinal Networks: J Neurophysiol,
86:492-502.
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Stricker, C.,
A. I. Cowan, A. C. Field, and S. J. Redman, 1999, Quantal Analysis of NMDA-
Independent Long-Term Potentiation of EPSCs in Rat CA1 Neurones in vitro:
J Physiol, 520:513-525.
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Stricker, C.,
A. C. Field, and S. J. Redman, 1996, Statistical Analysis of Amplitude Fluctuations
in EPSCs Evoked in Rat CA1 Pyramidal Neurones in Vitro: J Physiol, 490:419-441.
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Cowan, A. I.,
C. Stricker, L. J. Reece, and S. J. Redman, 1998, Long-Term Plasticity at
Excitatory Synapses on Aspinous Interneurons in Area CA1 Lacks Synaptic
Specificity: J Neurophysiol, 79:13-20.
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Buhl, E. H.,
G. Tamás, T. Szilágyi, C. Stricker, O. Paulsen, and P. Somogyi,
1997, Effect, Number and Location of Synapses Made by Single Pyramidal Cells
onto Aspiny Interneurones of Cat Visual Cortex: J Physiol, 500:689-713.
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Stricker, C.,
A. C. Field, and S. J. Redman, 1996, Changes in Quantal Parameters of EPSCs
in Rat CA1 Neurones in vitro After the Induction of Long-Term Potentiation:
J Physiol, 490:443-454.
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Stricker, C.,
D. Daley, and S. J. Redman, 1994, Statistical Analysis of Synaptic Transmission:
Model Discrimination and Confidence Limits: Biophys J, 67:532-547.
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Stricker, C.,
and S. J. Redman, 1994, Statistical Models of Synaptic Transmission Evaluated
Using the Expectation-Maximization Algorithm: Biophys J, 67:656-670.
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