Decoding Changes of Mind in Voluntary Action-Dynamics of Intentional Choice Representations

Anne Löffler1,2,3, Patrick Haggard2, Stefan Bode3,4

  • 1Zuckerman Mind Brain Behaviour Institute, Columbia University, New York, NY 10027, USA.

Summary

Our brains can change their minds by updating intentions when goals become too costly. This involves dynamic neural representations in the fronto-parietal cortex, balancing adaptation and goal pursuit.

Related Concept Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

This protocol presents a novel methodology for the neural decoding of intent from freely-behaving infants during unscripted social interaction with an actor. Neural activity is acquired using non-invasive high-density active scalp electroencephalography (EEG). Kinematic data is collected with inertial measurement units and supplemented with synchronized video recording.
11.4K
Children's Reliance on Artist Intentions When Identifying Pictures09:47

Children's Reliance on Artist Intentions When Identifying Pictures

Source: Laboratories of Judith Danovitch and Nicholaus Noles—University of Louisville
Children are not the best artists. Sometimes it’s easy to pick out the characteristic triangular head, whiskers, and tail of a cat, but children often describe elaborate scenarios that they depict as a beautifully unrecognizable mess. Thus, given children’s questionable artistic talent, how do they know what their drawings, and the drawings of others, represent? One way children identify...
6.0K
Decoding Natural Behavior from Neuroethological Embedding08:00

Decoding Natural Behavior from Neuroethological Embedding

This protocol gives an integrated framework based on advanced computational neuroethological methods to understand brain coding in naturalistic...
608
Control Volume and System Representations01:16

Control Volume and System Representations

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...
1.5K
Decoding Auditory Imagery with Multivoxel Pattern Analysis11:46

Decoding Auditory Imagery with Multivoxel Pattern Analysis

Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California
Imagine the sound of a bell ringing. What is happening in the brain when we conjure up a sound like this in the "mind's ear?" There is growing evidence that the brain uses the same mechanisms for imagination that it uses for perception.1 For example, when imagining visual images, the visual cortex becomes activated, and when imagining sounds, the auditory cortex is engaged. However, to what...
7.2K
State Space Representation01:27

State Space Representation

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...
534