Chapter 47 Learning and Memory: Basic Mechanisms Copyright © 2014 Elsevier Inc. All rights reserved.

Slides:



Advertisements
Similar presentations
Molecular Mechanisms of Learning and Memory
Advertisements

NEUROBIOKIMIA: ASPEK BIOMOLEKULER DARI MEMORI Oleh Mohammad hanafi.
Memory and Hippocampus By:Mohammad Ali Ahmadi-Pajouh All Materials are from “Principals of Neuroscience” Written by E. Kandel In the Name of Allah Amirkabir.
Cellular Mechanisms of Learning
Announcements Mid term room assignments posted to webpage A – HoS361 (Pavilion) Hoang – LischkaS309 Lishingham - NguiS143 Nguyen – SeguinS128 Sek – Zia.
Long-term Potentiation as a Physiological Phenomenon
PART 4: BEHAVIORAL PLASTICITY #20: LEARNING & MEMORY of a SIMPLE REFLEX in APLYSIA I F model system: sea hare ( Aplysia californica ) F behavior: the gill.
Figure 8.1 Forms of short-term synaptic plasticity.
Background Long Term Potentiation. EGTA. NMDA Receptors.
Part Fundamentals of Physiology Part II Food, Energy, and Temperature Part III Integrating systems Part IV Movement and Muscle Part V Oxygen, Carbon dioxide,
Neural Mechanisms of Memory Storage Molecular, synaptic, and cellular events store information in the nervous system. New learning and memory formation.
Synapses are everywhere neurons synapses Synapse change continuously –From msec –To hours (memory) Lack HH type model for the synapse.
Long term potentiation (LTP) of an excitatory synaptic inputs is input specific.
J. Kauer, R. Malenka, and R. Nicoll
F model system: sea hare ( Aplysia californica ) F behavior: the gill & siphon withdrawal reflex F even more cell biology: learning & memory F summary.
Bi/CNS 150 Lecture 20 Friday November 15, 2014 Learning & Memory 1. Synaptic plasticity Bruce Cohen Kandel,Chap. 12: pp , Chap
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.
Critical periods A time period when environmental factors have especially strong influence in a particular behavior. –Language fluency –Birds- Are you.
Copyright © 2007 Wolters Kluwer Health | Lippincott Williams & Wilkins Neuroscience: Exploring the Brain, 3e Chapter 25: Molecular Mechanisms of Learning.
Learning and Memory: Basic Mechanisms
Neural Plasticity Lecture 7. Neural Plasticity n Nervous System is malleable l learning occurs n Structural changes l increased dendritic branching l.
Vertebrate Models of Learning
Chapter 18. Synaptic Plasticity Copyright © 2014 Elsevier Inc. All rights reserved.
Chapter Thirteen The Biology of Learning and Memory.
LECTURE 11: SYNAPSES IV: TRANSMITTER SYNTHESIS AND RELEASE REQUIRED READING: Kandel text, Chapters 14, 15 Giant synapse of squid used in classical experiments.
Molecular mechanisms of memory. How does the brain achieve Hebbian plasticity? How is the co-activity of presynaptic and postsynaptic cells registered.
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.
Synaptic Plasticity The term synaptic plasticity refers to the variability of the strength of a signal transmitted through a synapse. Facilitation:
Mechanisms for memory: Introduction to LTP Bailey Lorv Psych 3FA3 November 15, 2010.
Synaptic plasticity DENT/OBHS 131 Neuroscience 2009.
LONG-TERM POTENTIATION (LTP) Introduction LTP as a candidate mechanism for the activity-dependent change in the strength of synaptic connections LTP is.
Slide 1 Neuroscience: Exploring the Brain, 3rd Ed, Bear, Connors, and Paradiso Copyright © 2007 Lippincott Williams & Wilkins Bear: Neuroscience: Exploring.
Trends in Biomedical Science Making Memory. The following slides are mostly derived from The Brain from Top to Bottom, an Interactive Website about the.
Copyright © 2004 Allyn and Bacon 1 Chapter 13 Learning and Memory: Basic Mechanisms This multimedia product and its contents are protected under copyright.
Neural Mechanisms of Learning & Memory Lesson 24.
APPROACHES TO THE BIOLOGY OF MEMORY Scale of analysis: –Micro: intra, intercellular –Medio: cell assemblies and neural networks –Macro: Coordinated brain.
Perceptron vs. the point neuron Incoming signals from synapses are summed up at the soma, the biological “inner product” On crossing a threshold, the cell.
Synaptic Plasticity Synaptic efficacy (strength) is changing with time. Many of these changes are activity-dependent, i.e. the magnitude and direction.
Integration of neural plasticity Multiple mechanisms per synapse Multiple synapses per cell Multiple cells per function Examples –Tritonia escape response.
Gill withdrawal reflex using Aplysia californica sea slug:
Neural Mechanisms of Memory Storage
Exam 2 3/30/16 Range: Average: 79.8 Exam 1 2/17/16 Range: 49-98
Long Term Potentiation
Cell communication III: the nerve system
Chapter Thirteen The Biology of Learning and Memory
Types of Learning Associative Learning: Classical Conditioning
Types of Learning Associative Learning: Classical Conditioning
Zinc Dynamics and Action at Excitatory Synapses
Christian Lüscher, Robert C Malenka, Roger A Nicoll  Neuron 
Volume 18, Issue 6, Pages (June 1997)
Activity-Dependent Presynaptic Facilitation and Hebbian LTP Are Both Required and Interact during Classical Conditioning in Aplysia  Igor Antonov, Irina.
Types of Learning Associative Learning: Classical Conditioning
Heterosynaptic LTD of Hippocampal GABAergic Synapses
Types of Memory (iconic memory) (7 bits for 30seconds)
Endocannabinoid Signaling and Synaptic Function
Activity-Dependent Regulation of Synapses by Retrograde Messengers
John T.R. Isaac, Michael C. Ashby, Chris J. McBain  Neuron 
Trans-Synaptic Plasticity: Presynaptic Initiation, Postsynaptic Memory
Victor Z Han, Kirsty Grant, Curtis C Bell  Neuron 
Kainate Receptors in Health and Disease
Hippocampal Interneurons Express a Novel Form of Synaptic Plasticity
Volume 21, Issue 21, Pages (November 2011)
Types of Learning Associative Learning: Classical Conditioning
Memory and Hippocampus
Remembering the Caribbean
The Back and Forth of Dendritic Plasticity
Dietmar Schmitz, Matthew Frerking, Roger A Nicoll  Neuron 
Neuroscience: Exploring the Brain, 3e
Volume 20, Issue 1, Pages R31-R36 (January 2010)
Presentation transcript:

Chapter 47 Learning and Memory: Basic Mechanisms Copyright © 2014 Elsevier Inc. All rights reserved.

FIGURE 47.1 Classical conditioning. In the procedure introduced by Pavlov, the production of saliva is monitored continuously. Presentation of meat powder (US) reliably leads to salivation, whereas some “neutral” stimulus such as a bell (CS) initially does not. With repeated pairings of the bell and me at powder, the animal learns that the bell predicts the food and salivates in response to the bell alone. Modified from Rachlin (1991).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.2 Model of short-term heterosynaptic facilitation of the sensorimotor connection that contributes to short-term sensitization in Aplysia. (A1) Sensitizing stimuli activate facilitatory interneurons (IN) that release modulatory transmitters, one of which is 5-HT. The modulator leads to an alteration of the properties of the sensory neuron (SN). (A2 and A3) The enhanced synaptic input to the motor neuron (MN) (A3) results from enhanced sensory input, partly due to two mechanisms. First, the same peripheral stimulus can evoke a greater number of action potentials in the presynaptic SN (i.e., enhanced excitability). Second, each action potential fired by an SN produces a stronger synaptic response in the MN(i.e., synaptic facilitation). (B) Model of a SN that depicts the multiple processes for short-term facilitation and changes in excitability that contribute to short-term sensitization. 5-HT released from facilitatory neurons binds to at least two distinct classes of receptors on the outer surface of the membrane and leads to the transient activation of two intra cellular second messengers, DAG and cAMP, and their respective kinases (PKC and PKA). These kinases affect multiple cellular processes, the combined effects of which lead to changes in excitability and enhanced transmitter release when subsequent action potentials are fired in the sensory neuron (see text for additional details). Modified from Byrne and Kandel (1996).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.3 Simplified scheme of the mechanisms in SNs that contribute to long-term sensitization. Sensitization training leads to cAMP-dependent regulation of CREB1. Serotonin also leads to activation of MAPK, which regulates CREB2. Whereas CREB1 acts as an initiator of gene transcription, CREB2 acts as a repressor of gene transcription. The combined effects of activation of CREB1 and suppression of CREB2 lead to regulation of the synthesis of at least 10 proteins, only some of which are shown. ApTBL is believed to activate latent forms of TGF-β, which can then bind to receptors on the SN. TGF-β activates MAPK, which may act by initiating a second round of gene regulation by affecting CREB2-dependent pathways. Serotonin can also increase the release of the peptide sensorin, which binds to autoreceptors leading to further activation of MAPK. Increased local synthesis and subsequent release of sensorin can also be evoked by 5-HT, through the PI3 kinase and type II PKA, respectively. Because increased synthesis of sensorin requires elevation of postsynaptic calcium, a retrograde signal is also postulated. In addition to the retrograde signal, 5-HT-induced postsynaptic signaling also leads to an increased number of glutamate receptors.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.4 Model of classical conditioning of a withdrawal reflex in Aplysia. (A) Activity in a sensory neuron (SN1) along the CS+ (paired) pathway is coincident with activity in neurons along the reinforcement pathway (US). However, activity in the sensory neuron (SN2) along the CS – (unpaired) pathway is not coincident with activity in neurons along the US pathway. The US directly activates the motor neuron, producing the UR. The US also activates a modulatory system in the form of the facilitatory neuron, resulting in the delivery of a neuromodulatory transmitter to the two sensory neurons. The pairing of activity in SN1 with the delivery of the neuromodulator yields the associative modifications. (B) After the paired activity in A, the synapse from SN1 to the motor neuron is selectively enhanced. Thus, it is more likely to activate the motor neuron and produce the conditioned response (CR) in the absence of US input. Modified from Lechner and Byrne (1998).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.5 Model of associative facilitation at the Aplysia sensorimotor synapse. This model has both a presynaptic and a postsynaptic detector for the coincidence of the CS and the US. Furthermore, a putative retrograde signal allows for the integration of these two detection systems at the presynaptic level. The CS leads to activity in the sensory neuron, yielding presynaptic calcium influx, which enhances the US-induced cAMP cascade. The CS also induces glutamate release, which results in postsynaptic calcium influx through NMDA receptors if the glutamate release is paired with the US-induced depolarization of the postsynaptic neuron. The postsynaptic calcium influx putatively induces a retrograde signal, which further enhances the presynaptic cAMP cascade. The end result of the cAMP cascade is to modulate transmitter release and enhance the strength of the synapse. Modified from Lechner and Byrne (1998).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.6 Schematic of a transverse hippocampal brain slice preparation from the rat. Two extracellular stimulating electrodes are used to activate two nonoverlapping inputs to pyramidal neurons of the CA1 region of the hippocampus. By suitably adjusting the current intensity delivered to the stimulating electrodes, different numbers of Schaffer collateral/ commissural (Sch/com) axons can be activated. In this way, one stimulating electrode was made to produce a weak postsynaptic response and the other to produce a strong postsynaptic response. Also illustrated is an extracellular recording electrode placed in the stratum radiatum (the projection zone of the Sch/cominputs) and an intracellular recording electrode in the stratum pyramidale (the cell body layer). Also indicated is the mossy fiber projection from granule cells of the dentate gyrus (DG) to the pyramidal neurons of the CA3 region. Adapted from Barrionuevo and Brown (1983).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.7 LTP at the CA3 – CA1 synapse in the hippocampus. (A) Test stimuli are delivered repeatedly once every 10 s while the strength of the synaptic connection is monitored. Strength can be assessed by the amplitude of the extracellularly recorded EPSP or, as was done in this example, as the slope of the rising phase of the EPSP, which provides an accurate reflection of its strength. To induce LTP, two 1 s, 100Hz tetani were delivered with a 20-s interval. Subsequent test stimuli produce enhanced EPSPs. The enhancement is stable and persists for at least 2 h. Examples of extracellulary recorded field EPSPs before (B1) and 90 min after the induction of LTP (B2). In B3 the traces from B1 and B2 are superimposed. Modified from Nicoll et al. (1988).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.8 Features of LTP at CA3 – CA1 synapses in the hippocampus. A single hippocampal pyramidal cell is shown receiving a weak and strong synaptic input. (A) Tetanic stimulation of the weak input alone does not cause LTP in that pathway (compare the EPSP before and after the tetanus). (B) Tetanic stimulus of the strong input alone causes LTP in the strong pathway, but not in the weak pathway. (C) Tetanic stimulation of both the weak and the strong pathway together causes LTP in both the weak and the strong pathway. Modified from Nicoll et al. (1988).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 47.9 Events leading to some forms of LTP and LTD. The schematic depicts a postsynaptic spine with various sources of Ca2+. The NMDA receptor channel complex admits Ca2+ only after depolarization removes the Mg 2 + block in the presence of bound glutamate. Calcium may also enter through the ligand-gated AMPA receptor channel or voltage-gated calcium channels (VGCC), which may be located on the spine head or dendritic shaft. Calcium pumps (P), located on the spine head, neck, and dendritic shaft, are hypothesized to help isolate Ca2+ concentration changes in the spine head from those in the dendritic shaft.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Schematic representation of possible loci for cellular changes involved in the enhancement of synaptic efficacy. The efficacy of a synapse can be potentiated through at least sixmechanisms. First, there could be an increase in the fraction (release probability) of available presynaptic vesicles that undergo exocytosis. For example, in mechanism 1, two out of four available vesicles are released (i.e., 50%release probability), in contrast to the normal synapse, where only one out of four vesicles is released (i.e., 25% release probability). Second, there could be an increase in the number of release sites at the presynaptic neuron (mechanism 2). Third, the synapse could be potentiated through an increase in the number of vesicles available for release. For example, at a release site with eight vesicles, two of them will be exocytosed (instead of one) (mechanism 3), even if the release probability (25%) is the same as at the normal synapse. Fourth, there could be an increase in the sensitivity of the preexisting receptors to presynaptically released neurotransmitter or a greater conductance of the channel (mechanism 4). Fifth, there could be an increase in the number of functional receptors (illustrated as an increase from two active receptors at the normal synapse to four at the potentiated synapse; mechanism 5). Finally, the synapse could also be potentiated through coordinated presynaptic and postsynaptic morphological changes, such as the growth of new synaptic contacts between the same pair of neurons (mechanism 6). Adapted from Wang, Ko, and Kelly (1997).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Autoassociation network for recognition memory. The artificial circuit consists of six input pathways that make strong connections to each of six output neurons. The output neurons have axon collaterals that make synaptic connections (numbered 1 – 36) with each of the output cells. (A) A pattern represented by activity in the input lines or axons (a, b, c, d, e, f) is presented to the network. A 1 represents an active axon (e.g., a spike), whereas a 0 represents an inactive axon. The input pathways make strong synapses () with the postsynaptic output cells. Thus, output cells (u, v, w, x, y, z) generate a pattern that is a replica of the input pattern. The collateral synapses were initially weak and do not contribute to the output. Nevertheless, the activity in the collaterals that occurred in conjunction (assume minimal delays within the circuit) with the input pattern led to a strengthening of a subset of the 36 synapses. (B) A second presentation of the input produces an output pattern that is an amplified, but an otherwise intact, replica of the input. An incomplete input pattern can be used as a cue to retrieve the complete pattern.