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

Published: Jan. 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.

Language: Английский

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

Neuron, Journal Year: 2024, Volume and Issue: 112(15), P. 2486 - 2502

Published: July 12, 2024

Language: Английский

Citations

10

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

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(4), P. 114059 - 114059

Published: April 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

Language: Английский

Citations

6

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

et al.

Advances in neurobiology, Journal Year: 2023, Volume and Issue: unknown, P. 143 - 221

Published: Jan. 1, 2023

Language: Английский

Citations

10

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

The Brain & Neural Networks, Journal Year: 2025, Volume and Issue: 32(1), P. 3 - 11

Published: March 5, 2025

Language: Английский

Citations

0

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

Science, Journal Year: 2025, Volume and Issue: 388(6744), P. 253 - 254

Published: April 17, 2025

Synapses on different dendritic domains store distinct types of information

Language: Английский

Citations

0

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

et al.

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Language: Английский

Citations

0

In vivo deep-brain microscopy at submicrometer resolution with refractive index-matched prism interfaces DOI
Taiga Takahashi, Yuanyuan Zhou, Motosuke Tsutsumi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: June 2, 2025

Abstract The mammalian brain is a thick and densely layered structure comprising huge number of neurons that work together to process information regulate functions. Although various optical methods have been developed investigate deep dynamics, they are limited by technical constraints, invasiveness, suboptimal spatial resolution, and/or restricted field view. To overcome these limitations, we an implantable, optically optimized microprism interface with refractive index matched tissue water, enabling minimally-invasive, wide-field two-photon imaging method enhanced brightness sub-micron resolution in prefrontal areas.

Language: Английский

Citations

0

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

Emily Kogan,

Ju Lu, Yi Zuo

et al.

Frontiers in Molecular Neuroscience, Journal Year: 2023, Volume and Issue: 16

Published: Oct. 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.

Language: Английский

Citations

7

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

Advances in neurobiology, Journal Year: 2023, Volume and Issue: unknown, P. 311 - 348

Published: Jan. 1, 2023

Language: Английский

Citations

7

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

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1906)

Published: June 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’.

Language: Английский

Citations

2