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1.1 Cells

February 2-6, 2009

Organizer - Josh Dudman (Janelia Farm Research Campus, Ashburn, USA)

Instructors -
Michael Häusser (University College London, UK), Thomas Nevian (University of Bern, CH), Michael Berry (Princeton University, Princeton, USA)

Synopsis

Overview
In this short course we begin with the basic physical principles that underlie our understanding of the electrical properties of neurons. Subsequent lectures will introduce students to the principles of synaptic transmission and plasticity that are essential to understand the function of neuronal circuits. We conclude with a discussion of quantitative approaches to the study of the neuronal output.

Day 1: Cellular Biophysics
Lectures will focus on the biophysical basis of neuronal function. Day will begin with an introduction to the elementary electrochemistry necessary to understand the function of the neuronal membrane and ion channels. A brief description of ion channels both as proteins and as mathematical abstractions. A discussion of the basis of the action potential and passive electrical properties of a neuron will follow.

Day 2: Presynaptic Release
A brief history of the classic experiments that identified chemical transmission at synaptic connections through our current understanding.

Day 3: Postsynaptic Integration
As a prelude to more detailed discussions of what generates the neuronal output this discussion will focus on the specific issues that determine how a single neuron integrates its thousands of synaptic inputs. Recent experiments detailing the range of mechanisms employed by neurons as well as general principles of integration will be discussed.

Day 4: Neuronal Plasticity
A broad-ranging discussion of the many forms of synaptic and cellular plasticity that have been discovered in the nervous system. Particular attention will be paid to the more general question of why so much interest is paid to plastic changes and especially why they are thought to be so critical to the function of the nervous system.

Day 5: Information in the Neuronal Output
A combination of lectures about approaches to understanding the stimulus that produces a neuronal output and techniques for discovering these stimuli will be presented. We will on model systems that have shed light on these questions.


Course Calendar


Course Materials
The parameters that work well in a model are included in the attached file Params.m
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K_Channel_Params.m
(1k)
Joshua Dudman,
Feb 3, 2009, 10:13 AM
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Kdr.m
(1k)
Joshua Dudman,
Feb 6, 2009, 9:06 AM
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Na_Props.m
(1k)
Joshua Dudman,
Feb 5, 2009, 10:14 AM
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Params.m
(1k)
Joshua Dudman,
Feb 2, 2009, 10:14 AM
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RunVcProtocol.m
(0k)
Joshua Dudman,
Feb 4, 2009, 10:19 AM
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SimpleHHModel.m
(3k)
Joshua Dudman,
Feb 8, 2009, 4:18 PM
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SimpleIFModel.m
(2k)
Joshua Dudman,
Feb 3, 2009, 9:33 AM