CS 2016 Short-Term Synaptic Plasticity II Depression Christian Stricker ANUMS/JCSMR - ANU

Slides:



Advertisements
Similar presentations
Dynamics of NT release Synaptic Plasticity
Advertisements

Journal Club April 25 th, Paper Layout Overview Quantal transmission of CA1 synapses Properties of basal transmission: – The GluR1 sub-unit in distance-dependent.
Synaptic Homeostasis Sean Sweeney Module 725. mEPSPs are recordings of release of one vesicle/quantum. EPSP is a suprathreshold stimulation Of the nerve.
Regulation of Signal Strength by Presynaptic Mechanisms / 7.68: Core Class Sheng Lectures Presynaptic Mechanisms Nathan Wilson.
Human Cellular Physiology PHSI3004/3904 Secreted signals and synaptic transmission Dr Bill Phillips Dept of Physiology, Anderson Stuart Bldg Rm N348.
Announcements Mid term room assignments posted to webpage A – HoS361 (Pavilion) Hoang – LischkaS309 Lishingham - NguiS143 Nguyen – SeguinS128 Sek – Zia.
Information Transfer at Dynamic Synapses: Effects of Short-Term Plasticity Patrick Scott 1 Anna Cowan 1 Andrew Walker 1 Christian Stricker 1,2 1 Division.
Synaptic Plasticity.
Part Fundamentals of Physiology Part II Food, Energy, and Temperature Part III Integrating systems Part IV Movement and Muscle Part V Oxygen, Carbon dioxide,
Effects of Excitatory and Inhibitory Potentials on Action Potentials Amelia Lindgren.
Synapses are everywhere neurons synapses Synapse change continuously –From msec –To hours (memory) Lack HH type model for the synapse.
The Integrate and Fire Model Gerstner & Kistler – Figure 4.1 RC circuit Threshold Spike.
How facilitation influences an attractor model of decision making Larissa Albantakis.
Rest: extracellular potential 0mV, intracellular -70mV, difference 70mV Pulse: extracellular -40mV, intracellular -70mV, difference 30mV Advantages: no.
Neuron schematic  G t = RT ln (c 2 /c 1 ) + zF  E axon myelin sheath dendrites nerve endings nt release nt receptors Cell body synapse.
1 Session 5 The Neuron II: Synaptic Transmission PS111: Brain & Behaviour Module 1: Psychobiology.
Synaptic transmission Quantal analysis Indexing synaptic transmission (a number)
Communication between neurons
Synaptic Signaling & The Action Potential
Synaptic Transmission Lesson 12. Synapses n Communication b/n neurons n Electrical l Electrotonic conduction n Chemical l Ligand / receptor ~
Announcements Slides used at tutorial posted to webpage.
Neural Plasticity: Long-term Potentiation Lesson 15.
synaptic plasticity is the ability of the connection, or synapse, between two neurons to change in strength in response to either use or disuse of transmission.
A Calcium dependent model of synaptic plasticity (CaDp)
Lecture 7: Stochastic models of channels, synapses References: Dayan & Abbott, Sects 5.7, 5.8 Gerstner & Kistler, Sect 2.4 C Koch, Biophysics of Computation.
Mechanisms for memory: Introduction to LTP Bailey Lorv Psych 3FA3 November 15, 2010.
Neurotransmitters & Receptors. Sensory neuron Motor neuron Receptor potentialAction potential Synaptic potential Action potential.
Synapse III- short term plasticity and other advanced topics.
High/Correlated activity HighCalcium LTP Low/uncorrelated activity Moderate Calcium Calcium LTD LTD Magic High NMDA-R activation Moderate NMDA-R activation.
Synaptic plasticity: Introduction Different induction protocols Basic properties Key elements of the biophysics Site of change: pre or post-synaptic More.
Sci2 Lect 5 Synaptic Transmission ©Dr Bill Phillips 2002, Dept of Physiology Fast Excitatory Postsynaptic Potentials Ligand gated ion channels Presynaptic.
Neural Networks with Short-Term Synaptic Dynamics (Leiden, May ) Misha Tsodyks, Weizmann Institute Mathematical Models of Short-Term Synaptic plasticity.
Graduate Seminar, NJIT June 14, 2012 Analytical & Computational Neuroscience: Lecture 2 Action Potentials and Chemical Synapses Math 430 * Math 635 * Fall.
Synaptic transmission Presynaptic release of neurotransmitter Quantal analysis Postsynaptic receptors Single channel transmission Models of AMPA and NMDA.
Lesson starter – arrange these boxes in the correct order to show how an action potential crosses the synaptic cleft If threshold is reached then action.
An Introduction to Neurotransmission William Wisden Dept of Clinical Neurobiology INF 364
Holderith et al, 2012 Amelia Moffatt, October
Neural Mechanisms of Learning & Memory Lesson 24.
Nens220, Lecture 11 Introduction to Realistic Neuronal Networks John Huguenard.
APPROACHES TO THE BIOLOGY OF MEMORY Scale of analysis: –Micro: intra, intercellular –Medio: cell assemblies and neural networks –Macro: Coordinated brain.
Cell to cell communication in the nervous system The synapse Electrical synapse Chemical synapse Role of calcium “neurocrines” Receptors Post-synaptic.
Nens220, Lecture 6 Interneuronal communication John Huguenard.
Chapter 2 Structure and functions of cells of the nervous system.
CS 2016 Long-Term Synaptic Plasticity III Christian Stricker ANUMS/JCSMR - ANU
Exam 2 3/30/16 Range: Average: 79.8 Exam 1 2/17/16 Range: 49-98
Nervous System
Dynamic synapses presynaptic mechanisms Niels Cornelisse Centre for Neurogenomics and Cognitive Research ( VU Amsterdam
LTP LTD LTP LTD High/Correlated Low/uncorrelated High Calcium Moderate
Synaptic transmission
Section 2 Interaction between neurons
Biological Neural Networks
Synaptic Coupling.
Synaptic Transmission
Zinc Dynamics and Action at Excitatory Synapses
EMG.
1 mV.
Effects of Excitatory and Inhibitory Potentials on Action Potentials
Kristian Wadel, Erwin Neher, Takeshi Sakaba  Neuron 
The Reduced Release Probability of Releasable Vesicles during Recovery from Short- Term Synaptic Depression  Ling-Gang Wu, J.Gerard G Borst  Neuron  Volume.
Adaptation of Ca2+-Triggered Exocytosis in Presynaptic Terminals
Synaptic Specializations Support Frequency-Independent Purkinje Cell Output from the Cerebellar Cortex  Josef Turecek, Skyler L. Jackman, Wade G. Regehr 
Nobutake Hosoi, Matthew Holt, Takeshi Sakaba  Neuron 
Stephanie Rudolph, Linda Overstreet-Wadiche, Jacques I. Wadiche  Neuron 
Synaptic Transmission and Integration
Synaptic Specializations Support Frequency-Independent Purkinje Cell Output from the Cerebellar Cortex  Josef Turecek, Skyler L. Jackman, Wade G. Regehr 
Week 10: Synaptic transmission – Part 1
Sodium channels and the synaptic mechanisms of inhaled anaesthetics
Neurons: Cellular and Network Properties
Cell to cell communication in the nervous system
Presentation transcript:

CS 2016 Short-Term Synaptic Plasticity II Depression Christian Stricker ANUMS/JCSMR - ANU THE AUSTRALIAN NATIONAL UNIVERSITY

CS 2016

Aims At the end of this lecture, the student should be able to explain why short-term depression (STD) is associated with a high release probability (p); recognise mechanism(s) causing STD; name factors why vesicle recovery is a slow process (~1 s); give details why there are at least 3 different pools of vesicles in the nerve terminal; clarify that the target may determine STP; and identify how STP forms complex temporal filters.

CS 2016 Contents Short-term depression (STD) –Depletion –Autoreceptors –Recovery from depression –Evidence for different pools of vesicles For advanced students –Release-independent depression –Frequency-dependent recovery Properties of short-term plasticity Functional role of short-term plasticity

CS 2016 Short-Term Plasticity: Depression High p neocortical synapse: easy release… Depression reaches a steady-state after 300 ms. –In steady-state, recovery rate = rate of depression Recovery from depression takes longer than 500 ms (~1 s). STD typically seen at high p synapses.

CS 2016 Experimental Set-up

CS 2016 Vesicle Depletion and STD p ~ vesicle pool. Depletion causes drop in p. –Recovery longer than stimulus interval (100 ms). –Loss of vesicles faster than replenishment: Replenishment ~ ms (later). Why so slow? –Priming of vesicles (ready). –Filling of vesicles (vGluT). –Glutamate production –Alignment with »exocytotic machinery. »Ca 2+ channels. »presynaptic grid.

CS 2016 Experimental Evidence If depletion causes depression, E 1 vs. E 2 must be anti-correlated: –Small E 2 follows large E 1. –Large(r) E 2 follows small E 1. Because transmitter release is stochastic, trial to trial variability: –Dashed line theoretical prediction. –Curve fit to sample (black). In this example, depletion accounts for all depression.

CS 2016 Other Mechanisms for STD Autoreceptors: receptors on terminal sense [transmitter] (feedback): –Glutamatergic: Ionotropic: NMDA, AMPA, KA. Metabotropic: Group I – III. –Adenosinergic: Metabotropic: A 1 – A 3 receptors. –Purinergic: Ionotropic: P2X 1-7 Metabotropic: P2Y 1-15 Consequence: VDCC modulation → Ca 2+ influx↓ → release↓: –Activation/inactivation kinetics. –Conductance change. No depression without release ( release-dependent depression ).

CS 2016 Phases during Build-Up of STD 100 APs at different frequencies. Plot all EPSCs as a function of stimulus number: –Two phases (at least…): Fast depression early: these vesicles lost immediately (ready to release…). Slow depression later: these vesicles lost at slower rate. –Recovered vesicles (?) –Newly primed vesicles (?) Hierarchy of vesicles, also called different “pools”. Saviane & Silver (2006), Nature 439:

CS 2016 Vesicle Pools Estimates for hippocampal synapse (bouton type; ~ 200 vesicles). At least 3 pools of vesicles involved in release: –Ready-releasable pool (10; RRP): small - fastest release. –Recycling pool (20; RCP): size depends on stimulus frequency; slower. –Reserve pool (170; RP): largest pool with slowest exchange rate. Rizzoli & Betz (2005), Nat Rev Neurosci 6: 57-69

CS 2016 Recovery from STD Rate of recovery is same for different stimulus frequencies. Time constant ( τ) ~ 1 s. One rate limiting step (?).

CS 2016 Beyond Simple Depletion For Advanced Students

CS 2016 STD without Depletion Depletion without anti-correlation –E 2 is “independent” of E 1. –No statistically significant anti-correlation. STD without (much) release: –Release-independent depression (RID) Mechanism(s): –Associated with AP: Within terminal: –Activation/inactivation of conductances at synapse: Na +, K +, Ca 2+. –SNARE “inhibition”. Before terminal: AP failure to invade terminal.

CS 2016 Fuhrmann et al. (2004), J Physiol 557: Variable Recovery from STD Frequency-dependent recovery (FDR): –At higher stimulus frequencies, recovery rate speeds up. –τ ↓ at ≥ 10 Hz. –τ 50 Hz ~ halved (~0.4 s). Observed at many different synapses. Ca 2+ -dependent process. RID and FDR are correlated. Mechanism: –Relief from STD (?).

CS 2016 Mechanism of RID & FDR Most likely mechanism –Gβγ from GPCRs activation (neuromo- dulators ?) binds to SNARE complex (SNAP-25) to inhibit release: RID. –Gβγ binding to SNAP-25 is in compe- tition with Ca 2+ -synaptotagmin-1, which rises during a burst of APs causing relief from RID: FDR. Experimental evidence to date –Serotonin: spinal cord (G i/o ) Alford & Hamm, 2001ff –(Noradrenaline (α 1 ), 5-HT 2 R via G q ) Yoon et al. (2007), Mol Pharmacol 72:

CS 2016 Properties and Function of STP Target Specificity Fast Associative Memories Complex Temporal Filters

CS 2016 Determinants of STP Property of terminal (pre- or postsynapse?) Synapses between pyramidal (P) and bitufted (B) or multipolar (M) cells (both interneurones). Same P axon contacting –bitufted cell: facilitation. –multipolar cell: depression. Target-specificity of short-term plasticity: target may determine plasticity. Mechanisms: CB 1 -R? Reyes & Sakmann (1998), Nat Neurosci 1: 279.

CS 2016 Fast Associative Memories Fast associative memories (~1 s) formed within networks. Excellent candidate for this type of memory is STP. –Within networks complex time-varying filters arise as a consequence of interactions between facilitation, depression, augmentation, PTP, etc. Feature extraction (decoding…): based on dynamic synapses. –Immediate retention – but not lasting… Features: –Can be contained in neuronal assemblies of few cells. –Many different memory states can be stored independently. Modified from Fusi (2008), Science 319: 1495

CS 2016 Take-Home Messages STD is associated with high p. Mechanism for depression involves vesicle depletion and/or autoreceptors. There are at least 3 vesicle pools in each synapse: RRP, RCP and RP. Targets can determine form of plasticity. STP is a likely cellular substrate for fast associative memory. STP forms complex time-varying filters.

CS 2016 That’s it folks…