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How Real Neurons How Real Neurons Work. Work. Computational Computational Neuroscience Neuroscience
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Page 1: How Real Neurons Work. Computational Neuroscience.

How Real Neurons Work.How Real Neurons Work. Computational NeuroscienceComputational Neuroscience

Page 2: How Real Neurons Work. Computational Neuroscience.

The Neuron : OverviewThe Neuron : Overview

http://www.stewartartists.com/Pages/jjani_pc/jjnrns_pc.html

Thanks to Ramon y Cajal for the Neuron doctrine. (v. reticular theory).

Principles of Dynamic Polarization : Signals flow only in one direction.

Principle of Connectional Specificity : Neurons don’t make random connections.

These doctrines are now being called into question.

Page 3: How Real Neurons Work. Computational Neuroscience.

Overview (2)Overview (2)

Page 4: How Real Neurons Work. Computational Neuroscience.

Inside a Neuron.Inside a Neuron.1. Most differentiated

cells in the body.

2. Neurons develop from epithelial cells.

3. Proteins are synthesised in the cell body.

4. They are modified in the ER and Golgi complex and exported along the axon.

Page 5: How Real Neurons Work. Computational Neuroscience.

Classification of Neurons.Classification of Neurons.Unipolar : Invertebrates.

Bipolar : Retina, Olfactory epith.,

Multipolar : e.g. motor neuron, pyramidal cell, perkinje cell.

1. The Cytoskeleton determines shape of neuron, (disrupted in Alzheimer’s disease).

2. Dynamic microtubules and microfilaments.

Page 6: How Real Neurons Work. Computational Neuroscience.

The Resting Cell Membrane The Resting Cell Membrane

http://www.du.edu/~kinnamon/3640/memb_pot_1.html

Ionic concentration gradient established by Na/K Ionic concentration gradient established by Na/K ATPase Pump (100 ions/s). ATPase Pump (100 ions/s).

K channels allow K to diffuse freely at a certain rate. K channels allow K to diffuse freely at a certain rate.

K leaves the cell, so making the outside positive and K leaves the cell, so making the outside positive and the inside negative.the inside negative.

This is self-limiting, as the positive external charge This is self-limiting, as the positive external charge opposes the further efflux of Kopposes the further efflux of K++

I.E 2 forces : Channel Driving Force, Electrical I.E 2 forces : Channel Driving Force, Electrical Driving Force, when balanced we have the Driving Force, when balanced we have the Equilibrium PotentialEquilibrium Potential of Kof K++ . .

Page 7: How Real Neurons Work. Computational Neuroscience.

Ion ChannelsIon ChannelsIon Channels are crucial for rapid membrane potential changes.Ion Channels are crucial for rapid membrane potential changes.

Ion Channels are proteins that span the cell membrane. Ion Channels are proteins that span the cell membrane.

Q. How can a water-filled channel conduct at high rates and yet be selective to ions Q. How can a water-filled channel conduct at high rates and yet be selective to ions surrounded by their waters of hydration? A. surrounded by their waters of hydration? A.

PROPERTIES. 1. Conduct Ions.

2. Recognize and select specific ions.

3. Open and close in response to specific electrical, mechanical or chemical signals.

4. Rapid rate of flow 108 /s

5. Opening and Closing of a channel involves conformational changes.

Page 8: How Real Neurons Work. Computational Neuroscience.

The Action Potential The Action Potential http://www.blackwellscience.com/matthews/channel.htmlhttp://www.blackwellscience.com/matthews/channel.html

An Action Potential is due to channels opening and closing in a voltage dependent manner. Na channels open above a threshold voltage.

Page 9: How Real Neurons Work. Computational Neuroscience.

The Sodium The Sodium Channel Channel

Page 10: How Real Neurons Work. Computational Neuroscience.

The Ceylon Puffer FishThe Ceylon Puffer FishTetrodotoxin injected by Hodgkin and Huxley to block Voltage-gated Na Channels.

Page 11: How Real Neurons Work. Computational Neuroscience.

CocaineCocaineFrom coca leaves was the first anaesthetic, and also blocks Na+ channels with lower affinity and specificity than tetradotoxin.

Page 12: How Real Neurons Work. Computational Neuroscience.

The K Channel The K Channel An outward KAn outward K++ current increases the current increases the repolarization rate of the action potential repolarization rate of the action potential

An energy profile can be calculated based on molecular structure.

Using Brownian dynamics simulations, we follow the trajectories of interacting ions in the potassium channel. With a fast supercomputer, we simulate the motion of 26 potassium ions and 26 chloride ions interacting through the intermolecular potential. Here we apply a potential difference across the channel such that inside is positive with respect to outside. The motion of each ion during each discrete time step is determined by, first, the net electrical force acting on it; secondly, the frictional force and, finally, random force originating from incessant collisions of the ion with its surrounding water molecules.

1. Variations in the properties of voltage-gated ion channels increase the signaling capabilities of neurons.

2. Gating of voltage gated ion channels can be influenced by cytoplasmic factors, e.g. with Ca2+ channels.

Page 13: How Real Neurons Work. Computational Neuroscience.

The Axon HillockThe Axon Hillock

Page 14: How Real Neurons Work. Computational Neuroscience.

Propagation Propagation of Action of Action PotentialPotential

Is forwards, because of the inactivated Na channels.

AP travels at 80m/s

PASSIVE ELECTRICAL PROPERTIES OF NEURONS :

1. Membrane Resistance determines the magnitude of passive changes in membrane potential. Related to [ion channel].

2. Membrane Capacitance prolongs the time course of electrical signals. Related to surface area of cell.

3. Membrane and Axoplasmic resistance affect the efficiency of signal conduction.

Page 15: How Real Neurons Work. Computational Neuroscience.

Salutatory Salutatory ConductionConduction

Page 16: How Real Neurons Work. Computational Neuroscience.

Chemical Synaptic TransmissionChemical Synaptic Transmission

•When AP reaches a neurons terminal

It stimulates neurotransmitter release.

•Output signal is graded, amount of NT released is determined by the number and frequency of the action potentials.

•After release, NT diffuses across the cleft to receptors on the post-synaptic neuron. Binding then results in the post-synaptic cell generating a synaptic potential.

The sign of this synaptic potential depends on the type of receptors.

Page 17: How Real Neurons Work. Computational Neuroscience.

Pre-Synaptic Mechanisms Pre-Synaptic Mechanisms •Action Potential reaches Synapse.

•Synaptic terminal is depolarized.

•Voltage sensitive calcium channels open.

•Calcium enters synaptic terminal.

•Release of chemical neurotransmitter

Page 18: How Real Neurons Work. Computational Neuroscience.

Neurotransmitters Are Kept in Neurotransmitters Are Kept in Vesicles.Vesicles.

Page 19: How Real Neurons Work. Computational Neuroscience.

Mechanism of Vesicle Docking.Mechanism of Vesicle Docking.

Page 20: How Real Neurons Work. Computational Neuroscience.

Neurotransmitters.Neurotransmitters.

Page 21: How Real Neurons Work. Computational Neuroscience.

Amanita muscariaAmanita muscaria A Muscurinic Agonist. Stimulates one of the receptors that AcetylCholine binds to.

Sweating, salivation, abdominal cramps, bradycardia

The Black widow spider (Latrodectus) is so toxic because of massive release of acetylcholine from neurones.

Nicotine is a Nicotinic receptor

agonist. Atropia Belladonna is used to achieve mydriasis, it has atropine which is an antagonist of muscarinic

receptors

Page 22: How Real Neurons Work. Computational Neuroscience.

Post-Synaptic Mechanisms Post-Synaptic Mechanisms

Neurotransmitter binds to receptors. Neurotransmitter binds to receptors.

Change in ionic permeability of post-Change in ionic permeability of post-synaptic cell. synaptic cell.

Change in membrane potential of post-Change in membrane potential of post-synaptic cell. synaptic cell.

The same neurotransmitter can have The same neurotransmitter can have different effects depending on the different effects depending on the post-synaptic receptors present, i.e. post-synaptic receptors present, i.e. inhibitory or excitatory. inhibitory or excitatory.

Page 23: How Real Neurons Work. Computational Neuroscience.

Many Types of NT Receptor Exist.Many Types of NT Receptor Exist.1. Ionotropic 2. Metabotropic

Page 24: How Real Neurons Work. Computational Neuroscience.

Dendritic Spines.Dendritic Spines.The video clip shows miniature synaptic calcium transients visualized with the fluorescent calcium probe (fluo-3) in a spiny cultured rat cortical neuron dendrite. The image shows activity over a 10 sec period.

Page 25: How Real Neurons Work. Computational Neuroscience.

THE ENDTHE END