Receptive Field Identification
Receptive Field Identification - Related Videos
06:02
Topographical Estimation of Visual Population Receptive Fields by fMRI
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Cited by 3 •
2015
It is important to obtain unbiased estimates of visual population receptive fields (pRFs) by functional magnetic resonance imaging. We use mild regularization constraints to estimate pRF topography without a-priori assumptions about pRF shape, allowing us to choose specific pRF models post-hoc. This is particularly advantageous in subjects with visual-pathway lesions.
12:08
Field Identification of Matricaria chamomilla using a Portable qPCR System
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2020
Presented here is a protocol for field identification of Matricaria chamomilla using a portable qPCR system. This easy-to-perform protocol is ideal as a method to confirm the identity of a botanical species at locations where access to laboratory equipment and expertise is limited, such as farms and warehouses.
06:44
Field Collection and Laboratory Routine Identification of Rhodiola crenulata
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Cited by 1 •
2023
Here, we describe the identification of Rhodiola Crenulata from habitat, plant morphology, medicinal properties, microscopic features, and thin-layer chromatography.
14:12
Rodent Identification II
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2015
Source: Kay Stewart, RVT, RLATG, CMAR; Valerie A. Schroeder, RVT, RLATG. University of Notre Dame, IN Animal records must be accurately maintained to ensure that data collection is correct. Records range from maintaining information on cage cards to having a detailed database with all of the relevant information on each animal. The primary component of recordkeeping is the individual identification of research animals. There are a variety of methods suitable for identifying mice and rats. This...
11:09
Rodent Identification I
0 Views •
2015
Source: Kay Stewart, RVT, RLATG, CMAR; Valerie A. Schroeder, RVT, RLATG. University of Notre Dame, IN A fundamental requirement of biomedical research is the proper identification of research animals. It is essential that the right animal is utilized for procedures and data collection. Laboratory mice and rats can be identified with the following permanent methods: ear tags, ear punch codes, microchip implantation, tail tattoos for adult mice, and toe tattoos for neonates. Temporary methods of...
FAQs
Researchers compare neural responses produced by stimuli at different locations, examining both how strongly the neuron or neural population responds and how selectively it favors particular locations. Stronger or more selective responses help identify the most influential region, while weaker responses indicate less influence. This comparison gives the map functional meaning rather than relying on location alone.
Mapping responses across sensory space can show how activity is arranged within a neural system and how different cells or circuits relate to sensory inputs. When researchers compare receptive field patterns across neurons or populations, they can investigate broader organization and functional connectivity. These comparisons help connect local response properties with circuit-level sensory processing.
Differences in map location, response strength, or selectivity can indicate that sensory processing has changed. In medical research, investigators use these patterns to examine how neurological disorders alter perception and how neural systems respond to clinical interventions. Repeated mapping can therefore link measurable neural activity with changes in sensory function.
The procedure begins by selecting a sensory space, body surface, or visual field to test and presenting controlled stimuli at different locations. Researchers then measure the resulting neural responses and compare their strength and selectivity across locations. The response pattern is used to construct a map associated with the relevant neuron, neural population, or circuit.
The approach can characterize sensory processing in visual, auditory, and somatosensory systems. The stimulus locations are defined according to the system being studied, such as positions in a visual field or regions of the body surface. This flexibility allows researchers to compare how sensory information is organized across distinct modalities in medicine.
Researchers use these maps to investigate neurological disorders that affect perception, examine neural organization and functional connectivity, and assess responses to clinical interventions. The resulting patterns provide a way to relate sensory inputs to neural activity. This makes receptive field identification useful for characterizing disease-related changes as well as intervention-related changes in sensory processing.