Response Map Computation

Response map computation is a quantitative method for representing how a system’s measured responses vary across stimulus features, spatial locations, or experimental conditions, making response patterns easier to interpret. In neuroscience, it typically aligns neural recordings with controlled inputs, calculates response metrics such as amplitude, frequency, or latency, and assigns those values to corresponding positions or stimulus parameters to generate a map. These maps can reveal receptive fields, functional organization, and differences in neural tuning across cells or brain regions. They also support comparisons between experimental groups, identification of altered circuit function, and computational analyses of sensory processing and neural coding.

Response Map Computation - Related Videos

Research

JoVE Journal - Neuroscience

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

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Cited by 9 •

2012

Conventional computer hardware can not generate visual stimuli with sufficiently high grayscale resolution and measure response times with sufficient accuracy. We describe how to use the VideoSwitcher to produce high-resolution monochromatic displays, and the RTbox to measure response times with high accuracy on conventional computer hardware.

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

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Cited by 11 •

2016

We describe a method for the detection of tumor nodule development in the lungs of an adenocarcinoma mouse model using micro-computed tomography and its use for monitoring changes in nodule size over time and in response to treatment. The accuracy of the assessment was confirmed with end-point histological quantification.

Research

JoVE Journal - Neuroscience
Free Sample

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Cited by 9 •

2015

In this paper, an experimental framework to perform closed-loop experiments is presented, in which information processing (i.e., coding and decoding) and learning of neuronal assemblies are studied during the continuous interaction with a robotic body.

Education

JoVE Core - Anatomy and Physiology

Computed Tomography

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2023

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body. The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Visualization of a Cerebral Thrombus in a Mouse Using Micro-Computed Tomography Imaging

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2025

Source: Kim, D., et. al. Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli. J. Vis. Exp. (2016)This video demonstrates visualization of cerebral thrombus in mice using micro-computed tomography (micro-CT) imaging. A cerebral thrombus mouse model is injected with fibrin-targeted gold nanoparticles acting as a contrasting agent. The mouse is placed on the bed of a micro-CT machine, and images are acquired from multiple angles.

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