cached image
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Michael Wehr is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1998 — 2001 |
Wehr, Michael |
F32Activity Code Description: To provide postdoctoral research training to individuals to broaden their scientific background and extend their potential for research in specified health-related areas. |
Brainstem Modulation of Striate Cortical Neurons @ University of California Davis
neurons; visual stimulus; visual cortex; brain stem; reticular formation; stimulus /response; membrane proteins; synapses; optic nerve; electrophysiology; single cell analysis; cats;
|
0.969 |
2011 — 2015 |
Wehr, Michael |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Synaptic Mechanisms of Coding Transformations in Auditory Cortex
DESCRIPTION (provided by applicant): The long-term objective of this research is to understand how synaptic processing in auditory cortex transforms the neural representation of temporally structured sounds such as music and speech. The focus in this proposal is to test specific hypotheses about how synaptic inhibition transforms the representation of sound from a temporal code into a rate code. This transformation may support multi-sensory integration, because information from sensory areas with different dynamics may need to be converted into a common rate code to be meaningfully combined. The synaptic mechanisms underlying this process remain unknown. Aim 1 will test whether sustained rate-coded responses in auditory cortex are generated by a stimulus-specific decrease in synaptic inhibition. Aim 2 will test whether rate-coded responses to periodic stimuli are generated by a stimulus-specific decrease in synaptic inhibition. Aim 3 will test whether opponent processing of periodic stimuli occurs by a synaptic push-pull mechanism. To accomplish these aims, we will use whole-cell voltage clamp recordings from rat auditory cortical neurons to measure the excitation and inhibition evoked by optimal tones and periodic stimuli. These experiments will help to elucidate the synaptic mechanisms that transform how temporally structured sounds are encoded in auditory cortex. Because temporal structure provides information critical for speech perception, the synaptic processing of time-varying signals in auditory cortex is especially relevant to our understanding of the mechanisms underlying speech processing. The proposed studies will therefore contribute to our basic understanding of the cortical synaptic mechanisms involved in speech perception. PUBLIC HEALTH RELEVANCE: Language-learning impaired children show profound deficits in the processing of temporally structured sound, but specific auditory training can speed up auditory processing in these children and lead to improved speech processing. The proposed studies will provide insight into how the representation of this temporal structure is transformed by synaptic processing in auditory cortex. In the long term, a greater understanding of the mechanisms that contribute to speech processing in auditory cortex will likely influence the development of improved rehabilitation strategies for language impairments.
|
1 |
2017 — 2021 |
Wehr, Michael |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Circuit Mechanisms Underlying Temporal Processing in Auditory Cortex
Project Summary Over half of those over 65 years old have age-related hearing loss, and the primary communication challenge reported by older adults is difficulty understanding speech in noisy conditions, such as a crowded restaurant. Age-related speech processing deficits can occur even with completely normal audiometric hearing, and are instead associated with temporal processing deficits in central structures such as auditory cortex. The mechanisms underlying temporal processing in auditory cortex are not well understood. Our broad goal is to elucidate these mechanisms. We will use a well-established measure of temporal processing in both humans and animals: the ability to detect a brief gap in background noise. The circuitry underlying gap detection in cortex remains unknown. In Aim 1 we seek to elucidate this circuitry by combining neuronal recording and optogenetics in awake mice performing a gap detection task. In Aim 2 we seek to understand how gap detection is enhanced when fear conditioning confers emotional significance to the gap. We propose to use fear potentiation of gap detection in mice as a model for how associative learning in auditory cortex assigns meaning to temporally structured sounds such as speech. We will use neuronal recording and optogenetics before, during, and after fear conditioning to determine the cortical circuit mechanisms underlying the associative learning of temporal structure. In both aims, our hypotheses are expressed as a candidate neural circuit model which makes specific predictions. In each Aim we will test these predictions, using the results to refine the model. Our broad goal is to understand which cortical neurons and circuits are necessary for gap detection and fear potentiation of gap detection, and how the dynamics of these circuits mediate these processes. Achieving this goal will provide fundamental new insights into the mechanisms underlying temporal processing, and how alterations of these mechanisms could contribute to age-related deficits in speech comprehension.
|
1 |