1,288 research outputs found

    The spectro-contextual encoding and retrieval theory of episodic memory.

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    The spectral fingerprint hypothesis, which posits that different frequencies of oscillations underlie different cognitive operations, provides one account for how interactions between brain regions support perceptual and attentive processes (Siegel etal., 2012). Here, we explore and extend this idea to the domain of human episodic memory encoding and retrieval. Incorporating findings from the synaptic to cognitive levels of organization, we argue that spectrally precise cross-frequency coupling and phase-synchronization promote the formation of hippocampal-neocortical cell assemblies that form the basis for episodic memory. We suggest that both cell assembly firing patterns as well as the global pattern of brain oscillatory activity within hippocampal-neocortical networks represents the contents of a particular memory. Drawing upon the ideas of context reinstatement and multiple trace theory, we argue that memory retrieval is driven by internal and/or external factors which recreate these frequency-specific oscillatory patterns which occur during episodic encoding. These ideas are synthesized into a novel model of episodic memory (the spectro-contextual encoding and retrieval theory, or "SCERT") that provides several testable predictions for future research

    Sleep-Dependent Memory Consolidation and Incremental Sentence Comprehension : Computational Dependencies during Language Learning as Revealed by Neuronal Oscillations

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    We hypothesize a beneficial influence of sleep on the consolidation of the combinatorial mechanisms underlying incremental sentence comprehension. These predictions are grounded in recent work examining the effect of sleep on the consolidation of linguistic information, which demonstrate that sleep-dependent neurophysiological activity consolidates the meaning of novel words and simple grammatical rules. However, the sleep-dependent consolidation of sentence-level combinatorics has not been studied to date. Here, we propose that dissociable aspects of sleep neurophysiology consolidate two different types of combinatory mechanisms in human language: sequence-based (order-sensitive) and dependency-based (order-insensitive) combinatorics. The distinction between the two types of combinatorics is motivated both by cross-linguistic considerations and the neurobiological underpinnings of human language. Unifying this perspective with principles of sleep-dependent memory consolidation, we posit that a function of sleep is to optimize the consolidation of sequence-based knowledge (thewhen) and the establishment of semantic schemas of unordered items (thewhat) that underpin cross-linguistic variations in sentence comprehension. This hypothesis builds on the proposal that sleep is involved in the construction of predictive codes, a unified principle of brain function that supports incremental sentence comprehension. Finally, we discuss neurophysiological measures (EEG/MEG) that could be used to test these claims, such as the quantification of neuronal oscillations, which reflect basic mechanisms of information processing in the brain

    ์„ฑ๊ณต๊ธฐ์–ต์—์„œ์˜ ํ•ด๋งˆ์˜ ํŠน์ง•์  ๋‡Œ ๊ธฐ์ „

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋‡Œ์ธ์ง€๊ณผํ•™๊ณผ, 2020. 8. ์ •์ฒœ๊ธฐ.One of the most intriguing of the human brain's complex functions is the ability to store information provided by experience and to retrieve much of it at will. This capability of memory processing is critical to humans survival โ€“ that is, humans guide their actions based on a given stimulus (e.g., item) in an environment, and can do so even when the stimulus is no longer present owing to the memory of the stimulus. A fundamental question of memory is why some experiences are remembered whereas others are forgotten. Since Scoville and Milners characterization of patient H.M., who demonstrated severe recognition memory deficits following damage to the medial temporal lobe (MTL), the hippocampus has been extensively studied as one of the key neural substrates for memory. In line with this, several experiments have been conducted on exploring the roles of the hippocampus in various ways. One is confirming the causality of the hippocampus in the memory process using direct electrical stimulation to the hippocampal region. The other is investigating the neural correlates of hippocampus using intracranial electroencephalography (iEEG) field potential and single neurons action potential known as spike recorded directly from the hippocampus. The present thesis is focused on providing direct electrophysiological evidence of human hippocampus in episodic memory that may help fill the gap that remained in the field for several years. Here, I will show how direct hippocampal stimulation affect human behavior and present characterized neural correlates of successful memory in the hippocampus. In the first study, building on the previous findings on the hippocampus, I sought to address whether the hippocampus would show functional causality with memory tasks and elicit different neural characteristics depending on memory tasks applied. I found hippocampal stimulation modulated memory performance in a task-dependent manner, improving associative memory performance, while impairing item memory performance. These results of the task-specific memory modulation suggest that the associative task elicited stronger theta oscillations than the single-item task. In the second study, I tested whether successful memory formation relies on the hippocampal neuronal activity that engaged preceding an event. I found that hippocampal pre-stimulus spiking activity (elicited by a cue presented just before a word) predicted subsequent memory. Stimulus activity during encoding (during-stimulus) also showed a trend of predicting subsequent memory but was simply a continuation of pre-stimulus activity. These findings indicate that successful memory formation in human is predicted by a pre-stimulus activity and suggests that the preparatory mobilization of neural processes before encoding benefits episodic memory performance. Throughout the study, the current finding suggests the possibility that the intervals of poor memory encoding can be identified even before the stimulus presented and may be rescued with targeted stimulation to the hippocampus even before the stimulus presented.์ธ๊ฐ„์˜ ๋ณต์žกํ•œ ๋‡Œ ๊ธฐ๋Šฅ ์ค‘ ํฅ๋ฏธ๋กœ์šด ํ•˜๋‚˜๋Š” ๊ฒฝํ—˜์— ์˜๊ฑฐํ•˜์—ฌ ์ •๋ณด๋ฅผ ์ €์žฅํ•˜๊ณ  ์˜์ง€์— ๋”ฐ๋ผ ์ €์žฅ๋œ ์ •๋ณด๋ฅผ ์žฌ์ธํ•˜๋Š” ๊ธฐ์–ต ๋Šฅ๋ ฅ ์ด๋‹ค. ์ธ๊ฐ„์€ ์ฃผ์–ด์ง„ ์ž๊ทน์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ํ–‰๋™์„ ์ •ํ•˜๋ฉฐ ์‹ฌ์ง€์–ด ์ž๊ทน์ด ์—†๋Š” ์ƒํ™ฉ์—์„œ๋„ ์ž๊ทน์— ๋Œ€ํ•œ ๊ธฐ์–ต์„ ๋ฐ”ํƒ•์œผ๋กœ ํ–‰๋™์„ ๊ฒฐ์ •ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์–ต ๋Šฅ๋ ฅ์€ ์ƒ์กด์— ์žˆ์–ด ๋งค์šฐ ๊ฒฐ์ •์ ์ด๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ธฐ์–ต๊ณผ ๊ด€๋ จ๋œ ๊ฐ€์žฅ ๊ธฐ๋ณธ์ ์ธ ์งˆ๋ฌธ์€ ๊ธฐ์–ต์˜ ์ €์žฅ ๋ฉ”์ปค๋‹ˆ์ฆ˜, ์ฆ‰, ์–ด๋–ค ๊ธฐ์–ต์€ ์ €์žฅ์ด ๋˜๊ณ  ์–ด๋–ค ๊ธฐ์–ต์€ ์žŠํ˜€์ง€๋Š” ๊ฐ€์ผ ๊ฒƒ์ด๋‹ค. ์Šค์ฝ”๋นŒ๊ณผ ๋ฐ€๋„ˆ๊ฐ€ ์ฒ˜์Œ ๋ณด๊ณ ํ•œ ๊ธฐ์–ต์ƒ์‹ค์ฆ ํ™˜์ž H.M.์€ ์ธก๋‘์˜์—ญ์˜ ์†์ƒ์„ ์ž…์€ ํ›„ ์‹ฌ๊ฐํ•œ ์ธ์ง€ ๊ธฐ์–ต ๋Šฅ๋ ฅ์˜ ์žฅ์• ๋ฅผ ๋ณด์˜€๊ณ , ์ดํ›„ ์‚ฌ๋žŒ ๋‡Œ์˜ ํ•ด๋งˆ ์˜์—ญ์€ ๊ธฐ์–ต์„ ๊ด€์žฅํ•˜๋Š” ๋‡Œ์˜ ์ค‘์š”ํ•œ ์˜์—ญ ์ค‘ ํ•˜๋‚˜๋กœ ๋„๋ฆฌ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. ํ•ด๋งˆ๊ฐ€ ๊ธฐ์–ต์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ์—ญํ• ์— ๋Œ€ํ•ด์„œ๋Š” ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์‹คํ—˜์ด ์ง„ํ–‰๋˜์–ด ์™”๋‹ค. ๊ทธ ์ค‘์˜ ํ•˜๋‚˜๋Š” ๋‡Œ์— ์ง์ ‘์ ์ธ ์ „๊ธฐ์ž๊ทน์„ ๊ฐ€ํ•ด ๊ธฐ์–ต ๊ณผ์ • ์ค‘ ํ•ด๋งˆ์˜ ์—ญํ• ์„ ํ™•์ธํ•˜๋Š” ๋ฐฉ๋ฒ•์ธ๋ฐ, ์ด๋Š” ๋‡Œ์ „์ฆ ํ™˜์ž์˜ ๋ชจ๋ธ์„ ํ†ตํ•ด ์‚ฌ๋žŒ์˜ ๋‡Œ์— ์ ‘๊ทผ์ด ๊ฐ€๋Šฅํ•ด์ง€๋ฉด์„œ ์ด๋ฃจ์–ด์ ธ ์™”๋‹ค. ๋‘ ๋ฒˆ์งธ ๋ฐฉ๋ฒ•์€ ์ „๊ธฐ์ƒ๋ฆฌํ•™์  ๋ฐฉ๋ฒ•์„ ํ†ตํ•˜๋Š” ๊ฒƒ์ธ๋ฐ ์„ธํฌ ์™ธ ํ™œ๋™ ์ „์œ„์ธ ์ŠคํŒŒ์ดํฌ๋ฅผ ํ†ตํ•ด ์„ฑ๊ณต๊ธฐ์–ต์—์„œ์˜ ๋‰ด๋Ÿฐ์˜ ํ™œ๋™์„ฑ์„ ๋ฐํžˆ๋Š” ๊ฒƒ์ด๋‹ค. ์ด ๋…ผ๋ฌธ์€ ์ด ๋ถ„์•ผ์—์„œ ์˜ค๋žซ๋™์•ˆ ๋…ผ๋ž€์ด ๋˜์—ˆ๊ณ  ๋ถ€์กฑํ–ˆ๋˜ ์„ฑ๊ณต ๊ธฐ์–ต์— ๊ด€๋ จ๋œ ํ•ด๋งˆ์˜ ์—ญํ• ๊ณผ ๊ธฐ์ „์„ ๋ฌผ๋ฆฌ์  ์ž๊ทน ๋ฐ ์‹ ๊ฒฝ์„ธํฌ์˜ ์‹ ํ˜ธ๋ฅผ ์ธก์ •ํ•ด์„œ ์ „๊ธฐ์ƒ๋ฆฌํ•™์  ํŠน์„ฑ์„ ์ œ์‹œํ•˜๋Š”๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ ๋ณธ ์ €์ž๋Š” ์‚ฌ๋žŒ์˜ ์„ฑ๊ณต๊ธฐ์–ตํ˜•์„ฑ๊ณผ ์žฌ์ธ์— ๋Œ€ํ•ด ๋‡Œ ์ž๊ทน๊ณผ ๋‹จ์œ„์„ธํฌํ™œ๋™์„ ๋ณด๊ณ ํ•  ๊ฒƒ์ด๋‹ค. ํ•ด๋งˆ์™€ ๊ธฐ์–ต์˜ ์ธ๊ณผ๊ด€๊ณ„ ๋ฐ ๊ธฐ์–ต ๊ณผ์ • ์ค‘์˜ ํ•ด๋งˆ์˜ ๋‡Œ ๊ธฐ์ „๊ณผ ๊ด€๋ จ๋œ ๊ธฐ์กด์˜ ์‹คํ—˜์ , ํ–‰๋™์  ๋ฐœ๊ฒฌ๋“ค์— ๊ทผ๊ฑฐํ•˜์—ฌ ๋ณธ ์ €์ž๋Š” (ใ„ฑ) ํ•ด๋งˆ์— ์ง์ ‘์ ์ธ ์ „๊ธฐ ์ž๊ทน์„ ์ฃผ๊ณ  ๊ธฐ์–ต ์ˆ˜ํ–‰๋Šฅ๋ ฅ์˜ ์ฐจ์ด ๋ฐ ๊ธฐ์–ต ๊ณผ์ œ์— ๋”ฐ๋ฅธ ํ•ด๋งˆ์˜ ์‹ ๊ฒฝ ๊ธฐ์ „์„ ๋ฐํžˆ๊ณ , (ใ„ด) ์„ฑ๊ณต ๊ธฐ์–ต์ด ํ˜•์„ฑ๋˜๋Š” ๊ณผ์ •์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์‹ ๊ฒฝ์„ธํฌ์˜ ๋ฐœํ™” ํŒจํ„ด์˜ ํŠน์„ฑ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ €์ž๋Š” ํ–ฅํ›„ ๊ธฐ์–ต์˜ ํ˜•์„ฑ ๊ณผ์ •์—์„œ, ์ž๊ทน์ด ์ œ์‹œ๋˜๋Š” ๊ตฌ๊ฐ„๋ฟ ๋งŒ ์•„๋‹ˆ๋ผ ์ž๊ทน์ด ์ฃผ์–ด์ง€๊ธฐ ์ „ ๋‹จ๊ณ„์—์„œ๋„ ํ•ด๋งˆ๋ฅผ ํƒ€๊นƒ ํ•˜์—ฌ ์ „๊ธฐ ์ž๊ทน์„ ์คŒ์œผ๋กœ์จ ๊ธฐ์–ต ์‹คํŒจ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋Š” ์ž๊ทน์„ ์„ฑ๊ณต ๊ธฐ์–ต์œผ๋กœ ์ €์žฅํ•  ์ˆ˜ ์žˆ๋„๋ก ์œ ๋„ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€ํ•œ๋‹ค.SECTION 1. INTRODUCTION 1 CHAPTER 1: Human Memory System 1 1.1. The hippocampus and memory 2 1.2. The structure of the hippocampus 3 CHAPTER 2: Human Memory Research: how to see a memory 4 2.1 Clinical rationale for invasive recordings with intracranial electrodes 4 2.2. Human intracranial EEG 6 2.3. Single unit activity recording and spike sorting in human 7 2.4. Direct brain stimulation study 9 CHAPTER 3: Human Memory Research: hippocampal activity for understanding successful memory formation 11 3.1. Functional role of human intracranial oscillatory activity in successful memory mechanism 11 3.1.1. Theta Oscillations 11 3.1.2. Gamma oscillations 13 3.2. Brain stimulation for memory enhancement 14 3.3. Single unit activity study in memory 15 CHAPTER 4: Purpose of the Present Study 17 SECTION 2. EXPERIMENTAL STUDY 19 CHAPTER 5: The importance of the hippocampal oscillatory activity for successful memory: direct brain stimulation study 19 5.1. Abstract 20 5.2. Introduction 22 5.3. Materials and Methods 25 5.3.1. Patients 25 5.3.2. Electrode localization 25 5.3.3. Memory task 29 5.3.4. Brain stimulation 30 5.3.5. Neuropsychological memory test 31 5.3.6. Analysis of memory performance and electrophysiological data 32 5.4. Results 37 5.4.1. Hippocampal stimulation improves associative memory but impairs item memory 37 5.4.2. Stimulation-induced memory enhancement is reflected in increased theta power during retrieval 38 5.4.3. Associative memory elicits higher theta power than item memory during encoding 42 5.4.4. Successful memory encoding elicits higher theta power in both memory task 44 5.4.5. Stimulation-mediated memory effect is greater in subject with poorer baseline cognitive function 46 5.5. Discussion 48 5.5.1. Summary 48 5.5.2. Task-dependent effects of hippocampal stimulation on memory 49 5.5.3. Theta activity as a neural signature for memory enhancement 51 5.5.4. Clinical implications 52 5.5.5. Limitations 54 5.5.6. Conclusion 55 CHAPTER 6: Hippocampal pre-stimulus activity predicts later memory success 57 6.1. Abstract 58 6.2. Introduction 59 6.3. Materials and Methods 62 6.3.1. Patients 62 6.3.2. Electrodes 63 6.3.3. Task and Stimuli 64 6.3.4. Electrophysiological recordings and Spike sorting 65 6.3.5. Analysis of iEEG field potentials 66 6.4. Results 68 6.4.1. Behavioral results 68 6.4.2. Spiking properties of hippocampal neurons 68 6.4.3. Hippocampal pre-stimulus activity correlates with successful memory 70 6.4.4. Hippocampal pre-stimulus spiking activity correlates with high gamma field potentials 74 6.5. Discussion 78 6.5.1. Summary 78 6.5.2. Comparison with previous findings 78 6.5.3. Possible mechanism underlying pre-stimulus activity 79 6.5.4. Conclusion 82 SECTION 3. GENERAL CONCLUSION 83 CHAPTER 7: General Conclusion and Perspective 83 Bibliography 84 Abstract in Korean (๊ตญ๋ฌธ์ดˆ๋ก) 93Docto
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