The Diversity and Synaptic Connectivity of Somatostatin-Containing Inhibitory Interneurons in the Somatosensory (Barrel) Cortex DOI Open Access
Rachel E. Hostetler

Опубликована: Янв. 1, 2023

The neocortex is the most evolutionarily advanced part of mammalian brain and responsible for a multitude important tasks, such as sensory processing, movement, memory learning and, in humans, cognition, language. Within neocortex, there are intricate circuits neurons that these tasks. These comprised delicate balance excitatory inhibitory neurons. Inhibitory interneurons have crucial role constraining controlling amount excitation brain; disruptions this can lead to number neuropsychiatric diseases disorders. Our studies focused on subpopulation somatostatin-containing (SOM) interneurons, which known be processing.

Язык: Английский

Cortico-basal ganglia plasticity in motor learning DOI Creative Commons
Richard H. Roth, Jun Ding

Neuron, Год журнала: 2024, Номер 112(15), С. 2486 - 2502

Опубликована: Июль 12, 2024

Язык: Английский

Процитировано

10

Specific connectivity optimizes learning in thalamocortical loops DOI Creative Commons
Kaushik J. Lakshminarasimhan, Marjorie Xie, Jeremy D. Cohen

и другие.

Cell Reports, Год журнала: 2024, Номер 43(4), С. 114059 - 114059

Опубликована: Апрель 1, 2024

Thalamocortical loops have a central role in cognition and motor control, but precisely how they contribute to these processes is unclear. Recent studies showing evidence of plasticity thalamocortical synapses indicate for the thalamus shaping cortical dynamics through learning. Since signals undergo compression from cortex thalamus, we hypothesized that computational depends critically on structure corticothalamic connectivity. To test this, identified optimal promotes biologically plausible learning synapses. We found projections specialized communicate an efference copy output benefit while communicating modes highest variance working memory tasks. analyzed neural recordings mice performing grasping delayed discrimination tasks communication consistent with predictions. These results suggest orchestrates functionally precise manner structured

Язык: Английский

Процитировано

6

Dendritic Spines: Synaptogenesis and Synaptic Pruning for the Developmental Organization of Brain Circuits DOI
Zdravko Petanjek, Ivan Banovac, Dora Sedmak

и другие.

Advances in neurobiology, Год журнала: 2023, Номер unknown, С. 143 - 221

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

10

Is a Human-scale Mouse Brain Model enough as a Human Brain Model? DOI
Tadashi Yamazaki

The Brain & Neural Networks, Год журнала: 2025, Номер 32(1), С. 3 - 11

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0

Dendritic arbors structure memories DOI
Ayelén I. Groisman, Johannes J. Letzkus

Science, Год журнала: 2025, Номер 388(6744), С. 253 - 254

Опубликована: Апрель 17, 2025

Synapses on different dendritic domains store distinct types of information

Язык: Английский

Процитировано

0

Motor learning refines thalamic influence on motor cortex DOI
Assaf Ramot, Felix Taschbach, Yaqi Yang

и другие.

Nature, Год журнала: 2025, Номер unknown

Опубликована: Май 7, 2025

Язык: Английский

Процитировано

0

Cortical circuit dynamics underlying motor skill learning: from rodents to humans DOI Creative Commons

Emily Kogan,

Ju Lu, Yi Zuo

и другие.

Frontiers in Molecular Neuroscience, Год журнала: 2023, Номер 16

Опубликована: Окт. 26, 2023

Motor learning is crucial for the survival of many animals. Acquiring a new motor skill involves complex alterations in both local neural circuits brain regions and long-range connections between them. Such changes can be observed anatomically functionally. The primary cortex (M1) integrates information from diverse plays pivotal role acquisition refinement skills. In this review, we discuss how affects M1 at synaptic, cellular, circuit levels. Wherever applicable, attempt to relate compare findings humans, non-human primates, rodents. Understanding underlying principles shared by different species will deepen our understanding neurobiological computational basis learning.

Язык: Английский

Процитировано

7

Dendritic Spines in Learning and Memory: From First Discoveries to Current Insights DOI
Nicolas Heck, Marc Dos Santos

Advances in neurobiology, Год журнала: 2023, Номер unknown, С. 311 - 348

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

7

Synaptic correlates of the corticocortical circuit in motor learning DOI
Y. K. Kim, Ilgang Hong, Bong‐Kiun Kaang

и другие.

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 379(1906)

Опубликована: Июнь 10, 2024

Rodents actively learn new motor skills for survival in reaction to changing environments. Despite the classic view of primary cortex (M1) as a simple muscle relay region, it is now known play significant role skill acquisition. The secondary (M2) reported be crucial region learning well its execution and planning. Although these two regions are part they learning, direct connection synaptic correlates between remains elusive. Here, we confirm M2 M1 connectivity with series tracing experiments. We also show that accelerating rotarod task successfully induces acquisition mice. For mice underwent training, learner showed increased density spine head size synapses activated cell populations M1. Non-learner did not changes. Collectively, data suggest potential importance plasticity mechanism learning. This article discussion meeting issue ‘Long-term potentiation: 50 years on’.

Язык: Английский

Процитировано

2

Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition DOI Creative Commons
Haruo Kasai

Proceedings of the Japan Academy Series B, Год журнала: 2023, Номер 99(8), С. 254 - 305

Опубликована: Окт. 10, 2023

Recent research extends our understanding of brain processes beyond just action potentials and chemical transmissions within neural circuits, emphasizing the mechanical forces generated by excitatory synapses on dendritic spines to modulate presynaptic function. From in vivo vitro studies, we outline five central principles synaptic mechanics function: P1: Stability - Underpinning integral relationship between structure function spine synapses. P2: Extrinsic dynamics Highlighting synapse-selective structural plasticity which plays a crucial role Hebbian associative learning, distinct from pathway-selective long-term potentiation (LTP) depression (LTD). P3: Neuromodulation Analyzing G-protein-coupled receptors, particularly dopamine time-sensitive modulation learning frameworks such as Pavlovian classical conditioning Thorndike's reinforcement (RL). P4: Instability Addressing intrinsic memory management during continual spotlighting their "spine dysgenesis" associated with mental disorders. P5: Mechanics Exploring how influence both sides establish traces short- memory, thereby aiding integration functions. We also delve into historical background foresee impending challenges.

Язык: Английский

Процитировано

5