Network models of frequency modulated sweep detection.
Frequency modulated (FM) sweeps are common in species-specific vocalizations, including human speech. Auditory neurons selective for the direction and rate of frequency change in FM sweeps are present across species, but the synaptic mechanisms underlying such selectivity are only beginning to be un...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4267816?pdf=render |
| _version_ | 1798043821360021504 |
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| author | Steven Skorheim Khaleel Razak Maxim Bazhenov |
| author_facet | Steven Skorheim Khaleel Razak Maxim Bazhenov |
| author_sort | Steven Skorheim |
| collection | DOAJ |
| description | Frequency modulated (FM) sweeps are common in species-specific vocalizations, including human speech. Auditory neurons selective for the direction and rate of frequency change in FM sweeps are present across species, but the synaptic mechanisms underlying such selectivity are only beginning to be understood. Even less is known about mechanisms of experience-dependent changes in FM sweep selectivity. We present three network models of synaptic mechanisms of FM sweep direction and rate selectivity that explains experimental data: (1) The 'facilitation' model contains frequency selective cells operating as coincidence detectors, summing up multiple excitatory inputs with different time delays. (2) The 'duration tuned' model depends on interactions between delayed excitation and early inhibition. The strength of delayed excitation determines the preferred duration. Inhibitory rebound can reinforce the delayed excitation. (3) The 'inhibitory sideband' model uses frequency selective inputs to a network of excitatory and inhibitory cells. The strength and asymmetry of these connections results in neurons responsive to sweeps in a single direction of sufficient sweep rate. Variations of these properties, can explain the diversity of rate-dependent direction selectivity seen across species. We show that the inhibitory sideband model can be trained using spike timing dependent plasticity (STDP) to develop direction selectivity from a non-selective network. These models provide a means to compare the proposed synaptic and spectrotemporal mechanisms of FM sweep processing and can be utilized to explore cellular mechanisms underlying experience- or training-dependent changes in spectrotemporal processing across animal models. Given the analogy between FM sweeps and visual motion, these models can serve a broader function in studying stimulus movement across sensory epithelia. |
| first_indexed | 2024-04-11T22:54:21Z |
| format | Article |
| id | doaj.art-497b632ac0d3474a8f31767d65f32cfa |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T22:54:21Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-497b632ac0d3474a8f31767d65f32cfa2022-12-22T03:58:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01912e11519610.1371/journal.pone.0115196Network models of frequency modulated sweep detection.Steven SkorheimKhaleel RazakMaxim BazhenovFrequency modulated (FM) sweeps are common in species-specific vocalizations, including human speech. Auditory neurons selective for the direction and rate of frequency change in FM sweeps are present across species, but the synaptic mechanisms underlying such selectivity are only beginning to be understood. Even less is known about mechanisms of experience-dependent changes in FM sweep selectivity. We present three network models of synaptic mechanisms of FM sweep direction and rate selectivity that explains experimental data: (1) The 'facilitation' model contains frequency selective cells operating as coincidence detectors, summing up multiple excitatory inputs with different time delays. (2) The 'duration tuned' model depends on interactions between delayed excitation and early inhibition. The strength of delayed excitation determines the preferred duration. Inhibitory rebound can reinforce the delayed excitation. (3) The 'inhibitory sideband' model uses frequency selective inputs to a network of excitatory and inhibitory cells. The strength and asymmetry of these connections results in neurons responsive to sweeps in a single direction of sufficient sweep rate. Variations of these properties, can explain the diversity of rate-dependent direction selectivity seen across species. We show that the inhibitory sideband model can be trained using spike timing dependent plasticity (STDP) to develop direction selectivity from a non-selective network. These models provide a means to compare the proposed synaptic and spectrotemporal mechanisms of FM sweep processing and can be utilized to explore cellular mechanisms underlying experience- or training-dependent changes in spectrotemporal processing across animal models. Given the analogy between FM sweeps and visual motion, these models can serve a broader function in studying stimulus movement across sensory epithelia.http://europepmc.org/articles/PMC4267816?pdf=render |
| spellingShingle | Steven Skorheim Khaleel Razak Maxim Bazhenov Network models of frequency modulated sweep detection. PLoS ONE |
| title | Network models of frequency modulated sweep detection. |
| title_full | Network models of frequency modulated sweep detection. |
| title_fullStr | Network models of frequency modulated sweep detection. |
| title_full_unstemmed | Network models of frequency modulated sweep detection. |
| title_short | Network models of frequency modulated sweep detection. |
| title_sort | network models of frequency modulated sweep detection |
| url | http://europepmc.org/articles/PMC4267816?pdf=render |
| work_keys_str_mv | AT stevenskorheim networkmodelsoffrequencymodulatedsweepdetection AT khaleelrazak networkmodelsoffrequencymodulatedsweepdetection AT maximbazhenov networkmodelsoffrequencymodulatedsweepdetection |