Response Map Computation
Response Map Computation - Related Videos
06:50
Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
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Cited by 10 •
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.
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
14:58
Quantifying X-Ray Fluorescence Data Using MAPS
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Cited by 24 •
2018
Here, we demonstrate the use of the X-ray fluorescence fitting software, MAPS, created by Argonne National Laboratory for the quantification of fluorescence microscopy data. The quantified data that results is useful for understanding the elemental distribution and stoichiometric ratios within a sample of interest.
04:41
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Cited by 5 •
2020
We present a protocol to identify functional implications of non-coding variants identified by genome-wide association studies (GWAS) using three-dimensional chromatin interactions.
11:18
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.
FAQs
The central operation is to pair each controlled input with a measured neural response, then place the resulting value at the input’s corresponding location or stimulus setting. Depending on the experiment, the assigned value may represent response amplitude, frequency, or latency. This organized arrangement preserves the relationship between an input condition and the neural activity it produces.
Amplitude, frequency, and latency provide different views of how neural activity changes with stimulation. Amplitude can represent response strength, frequency can capture changes in activity rate, and latency can indicate timing differences. Mapping these measures across stimulus features or locations helps investigators examine whether cells or brain regions respond preferentially to particular inputs.
Patterns of stronger and weaker responses across mapped locations or stimulus features can identify the inputs that preferentially activate a cell or region. These response distributions help reveal receptive fields, meaning the effective range of inputs associated with neural responses. Comparing map patterns across cells or brain regions can also expose differences in functional organization.
A typical workflow aligns neural recordings with controlled inputs, selects a response measure such as amplitude, frequency, or latency, and assigns each measurement to its corresponding stimulus parameter or spatial position. The resulting values are organized into a map for interpretation. This workflow allows researchers to inspect response patterns and compare them across cells, regions, or conditions.
It is useful when investigators need to compare how neural responses are distributed across the same stimulus features, locations, or experimental conditions. Maps can show differences in response strength, timing, or frequency patterns between groups. Such comparisons may help identify altered circuit function, particularly when the groups receive controlled inputs that support consistent alignment of measurements.
By linking neural recordings to specific stimulus features or spatial locations, response maps provide a structured view of how sensory inputs relate to activity. Researchers can use these patterns to study receptive fields, functional organization, and differences in tuning. The mapped data also support computational analyses of sensory processing and neural coding across cells or brain regions.