Title: How Can Memories Last for Days, Years, Or a Lifetime? Proposed Mechanisms for Maintaining Synaptic Potentiation and Memory
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Episodic Memory in Transient Global Amnesia: Encoding, Storage, Or Retrieval Deficit?
J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.66.2.148 on 1 February 1999. Downloaded from 148 J Neurol Neurosurg Psychiatry 1999;66:148–154 Episodic memory in transient global amnesia: encoding, storage, or retrieval deficit? Francis Eustache, Béatrice Desgranges, Peggy Laville, Bérengère Guillery, Catherine Lalevée, Stéphane SchaeVer, Vincent de la Sayette, Serge Iglesias, Jean-Claude Baron, Fausto Viader Abstract evertheless this division into processing stages Objectives—To assess episodic memory continues to be useful in helping understand (especially anterograde amnesia) during the working of memory systems”. These three the acute phase of transient global amne- stages may be defined in the following way: (1) sia to diVerentiate an encoding, a storage, encoding, during which perceptive information or a retrieval deficit. is transformed into more or less stable mental Methods—In three patients, whose am- representations; (2) storage (or consolidation), nestic episode fulfilled all current criteria during which mnemonic information is associ- for transient global amnesia, a neuro- ated with other representations and maintained psychological protocol was administered in long term memory; (3) retrieval, during which included a word learning task which the subject can momentarily reactivate derived from the Grober and Buschke’s mnemonic representations. These definitions procedure. will be used in the present study. Results—In one patient, the results sug- Regarding the retrograde amnesia of TGA, it gested an encoding deficit, -
Mnemonics in a Mnutshell: 32 Aids to Psychiatric Diagnosis
Mnemonics in a mnutshell: 32 aids to psychiatric diagnosis Clever, irreverent, or amusing, a mnemonic you remember is a lifelong learning tool ® Dowden Health Media rom SIG: E CAPS to CAGE and WWHHHHIMPS, mnemonics help practitioners and trainees recall Fimportant lists (suchCopyright as criteriaFor for depression,personal use only screening questions for alcoholism, or life-threatening causes of delirium, respectively). Mnemonics’ effi cacy rests on the principle that grouped information is easi- er to remember than individual points of data. Not everyone loves mnemonics, but recollecting diagnostic criteria is useful in clinical practice and research, on board examinations, and for insurance reimbursement. Thus, tools that assist in recalling di- agnostic criteria have a role in psychiatric practice and IMAGES teaching. JUPITER In this article, we present 32 mnemonics to help cli- © nicians diagnose: • affective disorders (Box 1, page 28)1,2 Jason P. Caplan, MD Assistant clinical professor of psychiatry • anxiety disorders (Box 2, page 29)3-6 Creighton University School of Medicine 7,8 • medication adverse effects (Box 3, page 29) Omaha, NE • personality disorders (Box 4, page 30)9-11 Chief of psychiatry • addiction disorders (Box 5, page 32)12,13 St. Joseph’s Hospital and Medical Center Phoenix, AZ • causes of delirium (Box 6, page 32).14 We also discuss how mnemonics improve one’s Theodore A. Stern, MD Professor of psychiatry memory, based on the principles of learning theory. Harvard Medical School Chief, psychiatric consultation service Massachusetts General Hospital How mnemonics work Boston, MA A mnemonic—from the Greek word “mnemonikos” (“of memory”)—links new data with previously learned information. -
Electromagnetic Field and TGF-Β Enhance the Compensatory
www.nature.com/scientificreports OPEN Electromagnetic feld and TGF‑β enhance the compensatory plasticity after sensory nerve injury in cockroach Periplaneta americana Milena Jankowska1, Angelika Klimek1, Chiara Valsecchi2, Maria Stankiewicz1, Joanna Wyszkowska1* & Justyna Rogalska1 Recovery of function after sensory nerves injury involves compensatory plasticity, which can be observed in invertebrates. The aim of the study was the evaluation of compensatory plasticity in the cockroach (Periplaneta americana) nervous system after the sensory nerve injury and assessment of the efect of electromagnetic feld exposure (EMF, 50 Hz, 7 mT) and TGF‑β on this process. The bioelectrical activities of nerves (pre‑and post‑synaptic parts of the sensory path) were recorded under wind stimulation of the cerci before and after right cercus ablation and in insects exposed to EMF and treated with TGF‑β. Ablation of the right cercus caused an increase of activity of the left presynaptic part of the sensory path. Exposure to EMF and TGF‑β induced an increase of activity in both parts of the sensory path. This suggests strengthening efects of EMF and TGF‑β on the insect ability to recognize stimuli after one cercus ablation. Data from locomotor tests proved electrophysiological results. The takeover of the function of one cercus by the second one proves the existence of compensatory plasticity in the cockroach escape system, which makes it a good model for studying compensatory plasticity. We recommend further research on EMF as a useful factor in neurorehabilitation. Injuries in the nervous system caused by acute trauma, neurodegenerative diseases or even old age are hard to reverse and represent an enormous challenge for modern medicine. -
Memory Reconsolidation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Current Biology Vol 23 No 17 R746 emerged from the pattern of amnesia consequence of this dynamic process Memory collectively caused by all these is that established memories, which reconsolidation different types of interventions. have reached a level of stability, can be Memory consolidation appeared to bidirectionally modulated and modified: be a complex and quite prolonged they can be weakened, disrupted Cristina M. Alberini1 process, during which different types or enhanced, and be associated and Joseph E. LeDoux1,2 of amnestic manipulation were shown to parallel memory traces. These to disrupt different mechanisms in the possibilities for trace strengthening The formation, storage and use of series of changes occurring throughout or weakening, and also for qualitative memories is critical for normal adaptive the consolidation process. The initial modifications via retrieval and functioning, including the execution phase of consolidation is known to reconsolidation, have important of goal-directed behavior, thinking, require a number of regulated steps behavioral and clinical implications. problem solving and decision-making, of post-translational, translational and They offer opportunities for finding and is at the center of a variety of gene expression mechanisms, and strategies that could change learning cognitive, addictive, mood, anxiety, blockade of any of these can impede and memory to make it more efficient and developmental disorders. Memory the entire consolidation process. and adaptive, to prevent or rescue also significantly contributes to the A century of studies on memory memory impairments, and to help shaping of human personality and consolidation proposed that, despite treat diseases linked to abnormally character, and to social interactions. -
Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits
Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits PHILIP J. TULLY Doctoral Thesis Stockholm, Sweden 2017 TRITA-CSC-A-2017:11 ISSN 1653-5723 KTH School of Computer Science and Communication ISRN-KTH/CSC/A-17/11-SE SE-100 44 Stockholm ISBN 978-91-7729-351-4 SWEDEN Akademisk avhandling som med tillstånd av Kungl Tekniska högskolan framläg- ges till offentlig granskning för avläggande av teknologie doktorsexamen i datalogi tisdagen den 9 maj 2017 klockan 13.00 i F3, Lindstedtsvägen 26, Kungl Tekniska högskolan, Valhallavägen 79, Stockholm. © Philip J. Tully, May 2017 Tryck: Universitetsservice US AB iii Abstract Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should osten- sibly propel them towards runaway excitation or quiescence. What dynamical phe- nomena exist to act together to balance such learning with information processing? What types of activity patterns do they underpin, and how do these patterns relate to our perceptual experiences? What enables learning and memory operations to occur despite such massive and constant neural reorganization? Progress towards answering many of these questions can be pursued through large- scale neuronal simulations. Inspiring some of the most seminal neuroscience exper- iments, theoretical models provide insights that demystify experimental measure- ments and even inform new experiments. In this thesis, a Hebbian learning rule for spiking neurons inspired by statistical inference is introduced. The spike-based version of the Bayesian Confidence Propagation Neural Network (BCPNN) learning rule involves changes in both synaptic strengths and intrinsic neuronal currents. -
New Clues for the Cerebellar Mechanisms of Learning
REVIEW Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning Egidio D’Angelo1,2 & Lisa Mapelli1,3 & Claudia Casellato 5 & Jesus A. Garrido1,4 & Niceto Luque 4 & Jessica Monaco2 & Francesca Prestori1 & Alessandra Pedrocchi 5 & Eduardo Ros 4 Abstract The cerebellum is involved in learning and memory it can easily cope with multiple behaviors endowing therefore of sensory motor skills. However, the way this process takes the cerebellum with the properties needed to operate as an place in local microcircuits is still unclear. The initial proposal, effective generalized forward controller. casted into the Motor Learning Theory, suggested that learning had to occur at the parallel fiber–Purkinje cell synapse under Keywords Cerebellum . Distributed plasticity . Long-term supervision of climbing fibers. However, the uniqueness of this synaptic plasticity . LTP . LTD . Learning . Memory mechanism has been questioned, and multiple forms of long- term plasticity have been revealed at various locations in the cerebellar circuit, including synapses and neurons in the gran- Introduction ular layer, molecular layer and deep-cerebellar nuclei. At pres- ent, more than 15 forms of plasticity have been reported. There The cerebellum is involved in the acquisition of procedural mem- has been a long debate on which plasticity is more relevant to ory, and several attempts have been done at linking cerebellar specific aspects of learning, but this question turned out to be learning to the underlying neuronal circuit mechanisms. -
Cognitive Functions of the Brain: Perception, Attention and Memory
IFM LAB TUTORIAL SERIES # 6, COPYRIGHT c IFM LAB Cognitive Functions of the Brain: Perception, Attention and Memory Jiawei Zhang [email protected] Founder and Director Information Fusion and Mining Laboratory (First Version: May 2019; Revision: May 2019.) Abstract This is a follow-up tutorial article of [17] and [16], in this paper, we will introduce several important cognitive functions of the brain. Brain cognitive functions are the mental processes that allow us to receive, select, store, transform, develop, and recover information that we've received from external stimuli. This process allows us to understand and to relate to the world more effectively. Cognitive functions are brain-based skills we need to carry out any task from the simplest to the most complex. They are related with the mechanisms of how we learn, remember, problem-solve, and pay attention, etc. To be more specific, in this paper, we will talk about the perception, attention and memory functions of the human brain. Several other brain cognitive functions, e.g., arousal, decision making, natural language, motor coordination, planning, problem solving and thinking, will be added to this paper in the later versions, respectively. Many of the materials used in this paper are from wikipedia and several other neuroscience introductory articles, which will be properly cited in this paper. This is the last of the three tutorial articles about the brain. The readers are suggested to read this paper after the previous two tutorial articles on brain structure and functions [17] as well as the brain basic neural units [16]. Keywords: The Brain; Cognitive Function; Consciousness; Attention; Learning; Memory Contents 1 Introduction 2 2 Perception 3 2.1 Detailed Process of Perception . -
Article Role of Delayed Nonsynaptic Neuronal Plasticity in Long-Term Associative Memory
Current Biology 16, 1269–1279, July 11, 2006 ª2006 Elsevier Ltd All rights reserved DOI 10.1016/j.cub.2006.05.049 Article Role of Delayed Nonsynaptic Neuronal Plasticity in Long-Term Associative Memory Ildiko´ Kemenes,1 Volko A. Straub,1,3 memory, and we describe how this information can be Eugeny S. Nikitin,1 Kevin Staras,1,4 Michael O’Shea,1 translated into modified network and behavioral output. Gyo¨ rgy Kemenes,1,2,* and Paul R. Benjamin1,2,* 1 Sussex Centre for Neuroscience Introduction Department of Biological and Environmental Sciences School of Life Sciences It is now widely accepted that nonsynaptic as well as University of Sussex synaptic plasticity are substrates for long-term memory Falmer, Brighton BN1 9QG [1–4]. Although information is available on how nonsy- United Kingdom naptic plasticity can emerge from cellular processes active during learning [3], far less is understood about how it is translated into persistently modified behavior. Summary There are, for instance, important unanswered ques- tions regarding the timing and persistence of nonsynap- Background: It is now well established that persistent tic plasticity and the relationship between nonsynaptic nonsynaptic neuronal plasticity occurs after learning plasticity and changes in synaptic output. In this paper and, like synaptic plasticity, it can be the substrate for we address these important issues by looking at an long-term memory. What still remains unclear, though, example of learning-induced nonsynaptic plasticity is how nonsynaptic plasticity contributes to the altered (somal depolarization), its onset and persistence, and neural network properties on which memory depends. its effects on synaptically mediated network activation Understanding how nonsynaptic plasticity is translated in an experimentally tractable molluscan model system. -
Test Anxiety and Metamemory: General Preference for External Over Internal Information Storage
Personality and Individual Differences 30 (2001) 775±781 www.elsevier.com/locate/paid Test anxiety and metamemory: general preference for external over internal information storage Joachim StoÈ ber *, Klaus B. Esser Free University of Berlin, Habelschwerdter Allee 45, D-14195 Berlin, Germany Received 27 October 1999; received in revised form 22 February 2000 Abstract Substantial evidence suggests that test anxiety is associated with poor memory performance. The rela- tionship between test anxiety and metamemory, however, has remained largely unexplored. The present study examines test anxiety and metamemory from the perspective of storage selection in extended memory systems. A sample of 56 university students with scores in the upper or lower thirds of the distribution for the Test Anxiety Inventory were presented with sentences describing everyday tasks under conditions where low and high importance was attached to future remembering. For each sentence, participants indicated whether they would choose internal memory storage (neurophysiological memory) or external storage (external memory aids) to remember the information. Results showed that test-anxious partici- pants displayed a general preference for external over internal storage, independent of the importance attached to remembering. Low estimated success of internal storage emerged as a potential reason for this preference. Implications of these ®ndings for research on test anxiety, metamemory, and storage selection in extended memory systems are discussed. # 2001 Elsevier Science Ltd. All rights reserved. Keywords: Test anxiety; Memory; Memory aids; Metacognition 1. Introduction Substantial evidence accumulated over the last 25 years suggests that test anxiety is associated with poor memory performance (for reviews, see Eysenck, 1979; Mueller, 1992; Zeidner, 1998). -
Long-Term Plasticity of Intrinsic Excitability
Downloaded from learnmem.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Review Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms Gae¨l Daoudal and Dominique Debanne1 Institut National de la Sante´Et de la Recherche Me´dicale UMR464 Neurobiologie des Canaux Ioniques, Institut Fe´de´ratif Jean Roche, Faculte´deMe´decine Secteur Nord, Universite´d’Aix-Marseille II, 13916 Marseille, France Spatio-temporal configurations of distributed activity in the brain is thought to contribute to the coding of neuronal information and synaptic contacts between nerve cells could play a central role in the formation of privileged pathways of activity. Synaptic plasticity is not the exclusive mode of regulation of information processing in the brain, and persistent regulations of ionic conductances in some specialized neuronal areas such as the dendrites, the cell body, and the axon could also modulate, in the long-term, the propagation of neuronal information. Persistent changes in intrinsic excitability have been reported in several brain areas in which activity is elevated during a classical conditioning. The role of synaptic activity seems to be a determinant in the induction, but the learning rules and the underlying mechanisms remain to be defined. We discuss here the role of synaptic activity in the induction of intrinsic plasticity in cortical, hippocampal, and cerebellar neurons. Activation of glutamate receptors initiates a long-term modification in neuronal excitability that may represent a parallel, synergistic substrate for learning and memory. Similar to synaptic plasticity, long-lasting intrinsic plasticity appears to be bidirectional and to express a certain level of input or cell specificity. -
How Can I Remember That the Memory Workshop
Tips and Strategies to Help Improve Your Short- and Long-Term Memory Karen L. Wold, M.S.Ed. Learning Disabilities Specialist [email protected], 217-333-8705 Topics Covered Memory 101 – Different Types of Memory Defined The memory process Short-term memory (STM) Working memory Long-term memory (LTM) Memory Strategies Rote memory (Repetition) Mnemonics Associative memory (Making associations) Memory Compensations (Alternatives, “Work Arounds”) Using reasoning skills to compensate Keep in mind learning styles/strengths (visual, auditory, kinesthetic, tactile) and effects of disability on memory Resources for More Information Memory 101: Different Types of Memory Memory process = encoding+ storage (sensory, STM, LTM) + retrieval Encoding – taking information from our environment (very short term, not retained over the long term) Sensory storage – information we receive from our senses is interpreted by our brains, then only the information that we really pay attention to is transferred to STM Learning allows us to transfer information from our STM to our LTM Retrieval is the ability to recall information we have learned and memoriZed Short-term Memory Information that comes to us through our senses Can only “hold” or retain for a few seconds Can only “hold” or retain a limited amount of information (before other information “kicks it out”) Can only hold 5-9 bits of info (avg. of 7) at one time Example: phone number or name. Usually have to write it down to remember later. Reflection Question: Why is it so hard to remember the name of someone you just met? Working Memory Working memory involves manipulating or changing information that is in your memory For example, “mental math”, adding 123 + 45 in your head. -
Diverse Impact of Acute and Long-Term Extracellular Proteolytic Activity on Plasticity of Neuronal Excitability
REVIEW published: 10 August 2015 doi: 10.3389/fncel.2015.00313 Diverse impact of acute and long-term extracellular proteolytic activity on plasticity of neuronal excitability Tomasz Wójtowicz 1*, Patrycja Brzda, k 2 and Jerzy W. Mozrzymas 1,2 1 Laboratory of Neuroscience, Department of Biophysics, Wroclaw Medical University, Wroclaw, Poland, 2 Department of Animal Physiology, Institute of Experimental Biology, Wroclaw University, Wroclaw, Poland Learning and memory require alteration in number and strength of existing synaptic connections. Extracellular proteolysis within the synapses has been shown to play a pivotal role in synaptic plasticity by determining synapse structure, function, and number. Although synaptic plasticity of excitatory synapses is generally acknowledged to play a crucial role in formation of memory traces, some components of neural plasticity are reflected by nonsynaptic changes. Since information in neural networks is ultimately conveyed with action potentials, scaling of neuronal excitability could significantly enhance or dampen the outcome of dendritic integration, boost neuronal information storage capacity and ultimately learning. However, the underlying mechanism is poorly understood. With this regard, several lines of evidence and our most recent study support a view that activity of extracellular proteases might affect information processing Edited by: Leszek Kaczmarek, in neuronal networks by affecting targets beyond synapses. Here, we review the most Nencki Institute, Poland recent studies addressing the impact of extracellular proteolysis on plasticity of neuronal Reviewed by: excitability and discuss how enzymatic activity may alter input-output/transfer function Ania K. Majewska, University of Rochester, USA of neurons, supporting cognitive processes. Interestingly, extracellular proteolysis may Anna Elzbieta Skrzypiec, alter intrinsic neuronal excitability and excitation/inhibition balance both rapidly (time of University of Exeter, UK minutes to hours) and in long-term window.