自 1978 年出版的《神经科学年度回顾》涵盖了整个神经科学领域的重大发展，包括分子和细胞神经科学、神经遗传学、发育、可塑性和修复、系统神经科学、认知神经科学、行为和疾病的神经生物学，以及偶尔回顾一下神经科学和伦理学的历史。

The Annual Review of Neuroscience, published since 1978, covers significant developments across the field of neuroscience, including molecular and cellular neuroscience, neurogenetics, development, plasticity and repair, systems neuroscience, cognitive neuroscience, the neurobiology of behavior and disease, and occasionally reviews the history of neuroscience and ethics.

《Annual Review of Neuroscience》自1978年出版，涵盖了神经科学领域的重大进展，包括分子和细胞神经科学、神经遗传学、发育、可塑性与修复、系统神经科学、认知神经科学、行为与疾病的神经生物学，以及偶尔回顾神经科学与伦理学的历史。

Annual Review of Neuroscience

▪ Abstract Until recently, our understanding of how language is organized in the brain depended on analysis of behavioral deficits in patients with fortuitously placed lesions. The availability of functional magnetic resonance imaging (fMRI) for in vivo analysis of the normal brain has revolutionized the study of language. This review discusses three lines of fMRI research into how the semantic system is organized in the adult brain. These are (a) the role of the left inferior frontal lobe in semantic processing and dissociations from other frontal lobe language functions, (b) the organization of categories of objects and concepts in the temporal lobe, and (c) the role of the right hemisphere in comprehending contextual and figurative meaning. Together, these lines of research broaden our understanding of how the brain stores, retrieves, and makes sense of semantic information, and they challenge some commonly held notions of functional modularity in the language system.

Susan Bookheimer

Annu. Rev. Neurosci.

Functional MRI of Language: New Approaches to Understanding the Cortical Organization of Semantic Processing

语言的功能性磁共振成像：理解语义处理皮层组织的新方法

Genetically encoded, single-component optogenetic tools have made a significant impact on neuroscience, enabling specific modulation of selected cells within complex neural tissues. As the optogenetic toolbox contents grow and diversify, the opportunities for neuroscience continue to grow. In this review, we outline the development of currently available single-component optogenetic tools and summarize the application of various optogenetic tools in diverse model organisms.

Lief Fenno

Ofer Yizhar

Karl Deisseroth

The Development and Application of Optogenetics

光遗传学的发展与应用

Functional brain imaging with positron emission tomography and magnetic resonance imaging has been used extensively to map regional changes in brain activity. The signal used by both techniques is based on changes in local circulation and metabolism (brain work). Our understanding of the cell biology of these changes has progressed greatly in the past decade. New insights have emerged on the role of astrocytes in signal transduction as has an appreciation of the unique contribution of aerobic glycolysis to brain energy metabolism. Likewise our understanding of the neurophysiologic processes responsible for imaging signals has progressed from an assumption that spiking activity (output) of neurons is most relevant to one focused on their input. Finally, neuroimaging, with its unique metabolic perspective, has alerted us to the ongoing and costly intrinsic activity within brain systems that most likely represents the largest fraction of the brain's functional activity.

Marcus E. Raichle

Mark A. Mintun

BRAIN WORK AND BRAIN IMAGING

脑力工作与脑成像

The ability to recognize a previously experienced stimulus is supported by two processes: recollection of the stimulus in the context of other information associated with the experience, and a sense of familiarity with the features of the stimulus. Although familiarity and recollection are functionally distinct, there is considerable debate about how these kinds of memory are supported by regions in the medial temporal lobes (MTL). Here, we review evidence for the distinction between recollection and familiarity and then consider the evidence regarding the neural mechanisms of these processes. Evidence from neuropsychological, neuroimaging, and neurophysiological studies of humans, monkeys, and rats indicates that different subregions of the MTL make distinct contributions to recollection and familiarity. The data suggest that the hippocampus is critical for recollection but not familiarity. The parahippocampal cortex also contributes to recollection, possibly via the representation and retrieval of contextual (especially spatial) information, whereas perirhinal cortex contributes to and is necessary for familiarity-based recognition. The findings are consistent with an anatomically guided hypothesis about the functional organization of the MTL and suggest mechanisms by which the anatomical components of the MTL interact to support the phenomenology of recollection and familiarity.

H. Eichenbaum

A.P. Yonelinas

C. Ranganath

The Medial Temporal Lobe and Recognition Memory

内侧颞叶与识别记忆

The modern cochlear implant (CI) is the most successful neural prosthesis developed to date. CIs provide hearing to the profoundly hearing impaired and allow the acquisition of spoken language in children born deaf. Results from studies enabled by the CI have provided new insights into (a) minimal representations at the periphery for speech reception, (b) brain mechanisms for decoding speech presented in quiet and in acoustically adverse conditions, (c) the developmental neuroscience of language and hearing, and (d) the mechanisms and time courses of intramodal and cross-modal plasticity. Additionally, the results have underscored the interconnectedness of brain functions and the importance of top-down processes in perception and learning. The findings are described in this review with emphasis on the developing brain and the acquisition of hearing and spoken language.

Andrej Kral

Michael F. Dorman

Blake S. Wilson

Neuronal Development of Hearing and Language: Cochlear Implants and Critical Periods

听觉和语言的神经发育：耳蜗植入与关键期

The cerebral cortex performs computations via numerous six-layer modules. The operational dynamics of these modules were studied primarily in early sensory cortices using bottom-up computation for response selectivity as a model, which has been recently revolutionized by genetic approaches in mice. However, cognitive processes such as recall and imagery require top-down generative computation. The question of whether the layered module operates similarly in top-down generative processing as in bottom-up sensory processing has become testable by advances in the layer identification of recorded neurons in behaving monkeys. This review examines recent advances in laminar signaling in these two computations, using predictive coding computation as a common reference, and shows that each of these computations recruits distinct laminar circuits, particularly in layer 5, depending on the cognitive demands. These findings highlight many open questions, including how different interareal feedback pathways, originating from and terminating at different layers, convey distinct functional signals.

Yasushi Miyashita

Cortical Layer-Dependent Signaling in Cognition: Three Computational Modes of the Canonical Circuit

皮层层依赖的认知信号传导：典型回路的三种计算模式

Ant physiology has been fashioned by 100 million years of social evolution. Ants perform many sophisticated social and collective behaviors yet possess nervous systems similar in schematic and scale to that of the fruit fly Drosophila melanogaster, a popular solitary model organism. Ants are thus attractive complementary subjects to investigate adaptations pertaining to complex social behaviors that are absent in flies. Despite research interest in ant behavior and the neurobiological foundations of sociality more broadly, our understanding of the ant nervous system is incomplete. Recent technical advances have enabled cutting-edge investigations of the nervous system in a fashion that is less dependent on model choice, opening the door for mechanistic social insect neuroscience. In this review, we revisit important aspects of what is known about the ant nervous system and behavior, and we look forward to how functional circuit neuroscience in ants will help us understand what distinguishes solitary animals from highly social ones.

Dominic D. Frank

Daniel J.C. Kronauer

The Budding Neuroscience of Ant Social Behavior

萌芽中的蚂蚁社会行为神经科学

In the natural world, animals make decisions on an ongoing basis, continuously selecting which action to undertake next. In the lab, however, the neural bases of decision processes have mostly been studied using artificial trial structures. New experimental tools based on the genetic toolkit of model organisms now make it experimentally feasible to monitor and manipulate neural activity in small subsets of neurons during naturalistic behaviors. We thus propose a new approach to investigating decision processes, termed reverse neuroethology. In this approach, experimenters select animal models based on experimental accessibility and then utilize cutting-edge tools such as connectomes and genetically encoded reagents to analyze the flow of information through an animal's nervous system during naturalistic choice behaviors. We describe how the reverse neuroethology strategy has been applied to understand the neural underpinnings of innate, rapid decision making, with a focus on defensive behavioral choices in the vinegar fly

Samuel K. Asinof

Gwyneth M. Card

Neural Control of Naturalistic Behavior Choices

自然行为选择的神经控制

The activity patterns of grid cells form distinctively regular triangular lattices over the explored spatial environment and are largely invariant to visual stimuli, animal movement, and environment geometry. These neurons present numerous fascinating challenges to the curious (neuro)scientist: What are the circuit mechanisms responsible for creating spatially periodic activity patterns from the monotonic input-output responses of single neurons? How and why does the brain encode a local, nonperiodic variable—the allocentric position of the animal—with a periodic, nonlocal code? And, are grid cells truly specialized for spatial computations? Otherwise, what is their role in general cognition more broadly? We review efforts in uncovering the mechanisms and functional properties of grid cells, highlighting recent progress in the experimental validation of mechanistic grid cell models, and discuss the coding properties and functional advantages of the grid code as suggested by continuous attractor network models of grid cells.

Ling L. Dong

Ila R. Fiete

Grid Cells in Cognition: Mechanisms and Function

认知中的网格细胞：机制与功能

It has long been argued that only humans could produce and understand language. But now, for the first time, artificial language models (LMs) achieve this feat. Here we survey the new purchase LMs are providing on the question of how language is implemented in the brain. We discuss why, a priori, LMs might be expected to share similarities with the human language system. We then summarize evidence that LMs represent linguistic information similarly enough to humans to enable relatively accurate brain encoding and decoding during language processing. Finally, we examine which LM properties-their architecture, task performance, or training-are critical for capturing human neural responses to language and review studies using LMs as in silico model organisms for testing hypotheses about language. These ongoing investigations bring us closer to understanding the representations and processes that underlie our ability to comprehend sentences and express thoughts in language.

短名	Annu. Rev. Neurosci.
Journal Impact	12.16
国际分区	NEUROSCIENCES(Q1)
期刊索引	SCI Q1中科院 1 区

ISSN	0147-006X, 1545-4126
h-index	261
国内分区	医学(1区)医学神经科学(1区)

涉及主题	生物心理学神经科学医学内科学遗传学化学生物化学精神科内分泌学计算机科学受体细胞生物学物理基因认知心理学
出版信息	出版商: Annual Reviews Inc.，出版周期: Annual，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 1978，原创研究文献占比: 0.00%，自引率:0.80%， Gold OA占比: 33.33%
平均审稿周期	网友分享经验：约稿?周期不定
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Annual Review of Neuroscience

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