Related Experiment Video
Updated: Apr 11, 2026
09:55
Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
Published on: September 5, 2018
9.0K
Cell-type-specific sustained value representations in the claustrum
Ahmad B Taha1,2, Seong Yeol An1, Su-Jeong Kim1
1Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Biorxiv : the Preprint Server for Biology
|April 10, 2026
Summary
The claustrum, a brain region, helps mice make decisions by tracking reward rates. Its neurons show stable activity, influencing reaction times and choices in a reinforcement learning task.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Decision-Making Research
Background:
- Flexible decision-making depends on frontal cortex and subcortical structure interactions.
- The claustrum, a nucleus with extensive frontal cortex connections, impacts cortical activity and cognitive functions.
Purpose of the Study:
- To investigate the role of claustrum neurons in reinforcement learning and decision-making.
- To identify distinct neuronal populations within the claustrum and their functional properties.
Main Methods:
- Electrophysiological recordings from claustrum neurons in mice during a reinforcement learning task.
- Analysis of neuronal activity in relation to reward rate, reaction time, and choice switching.
Main Results:
- Nearly half of recorded claustrum neurons showed activity scaling with reward rate, predicting behavioral adjustments.
- Two distinct neuronal populations were identified: one excited during task execution, the other suppressed and projecting to the frontal cortex.
- Claustrocortical outputs demonstrated graded activity increases with decreasing reward rates.
Conclusions:
- The claustrum serves as a subcortical hub for stable value representations.
- Claustrum activity is integral to the neuronal circuits underlying value-based decision-making.
Related Concept Videos
01:23Cells of the Adaptive Immune Response
10.2K
The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
10.2K
01:16Control Volume and System Representations
1.7K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface. For instance, in the case of water...
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface. For instance, in the case of water...
1.7K
01:23Storage
495
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
495
01:27State Space Representation
733
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
733
01:18Long-Term Memory
900
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
900
01:21Association Areas of the Cortex
10.7K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
10.7K