9 research outputs found
Modeling Pitch Perception With an Active Auditory Model Extended by Octopus Cells
Pitch is an essential category for musical sensations. Models of pitch perception are vividly discussed up to date. Most of them rely on definitions of mathematical methods in the spectral or temporal domain. Our proposed pitch perception model is composed of an active auditory model extended by octopus cells. The active auditory model is the same as used in the Stimulation based on Auditory Modeling (SAM), a successful cochlear implant sound processing strategy extended here by modeling the functional behavior of the octopus cells in the ventral cochlear nucleus and by modeling their connections to the auditory nerve fibers (ANFs). The neurophysiological parameterization of the extended model is fully described in the time domain. The model is based on latency-phase en- and decoding as octopus cells are latency-phase rectifiers in their local receptive fields. Pitch is ubiquitously represented by cascaded firing sweeps of octopus cells. Based on the firing patterns of octopus cells, inter-spike interval histograms can be aggregated, in which the place of the global maximum is assumed to encode the pitch
Auf einem menschlichen Gehörmodell basierende Elektrodenstimulationsstrategie für Cochleaimplantate
Cochleaimplantate (CI), verbunden mit einer professionellen Rehabilitation,
haben mehreren hunderttausenden Hörgeschädigten die verbale Kommunikation
wieder ermöglicht. Betrachtet man jedoch die Rehabilitationserfolge, so
haben CI-Systeme inzwischen ihre Grenzen erreicht. Die Tatsache, dass die
meisten CI-Träger nicht in der Lage sind, Musik zu genießen oder einer
Konversation in geräuschvoller Umgebung zu folgen, zeigt, dass es noch Raum
für Verbesserungen gibt.Diese Dissertation stellt die neue
CI-Signalverarbeitungsstrategie Stimulation based on Auditory Modeling
(SAM) vor, die vollständig auf einem Computermodell des menschlichen
peripheren Hörsystems beruht.Im Rahmen der vorliegenden Arbeit wurde die
SAM Strategie dreifach evaluiert: mit vereinfachten Wahrnehmungsmodellen
von CI-Nutzern, mit fünf CI-Nutzern, und mit 27 Normalhörenden mittels
eines akustischen Modells der CI-Wahrnehmung. Die Evaluationsergebnisse
wurden stets mit Ergebnissen, die durch die Verwendung der Advanced
Combination Encoder (ACE) Strategie ermittelt wurden, verglichen. ACE
stellt die zurzeit verbreitetste Strategie dar. Erste Simulationen zeigten,
dass die Sprachverständlichkeit mit SAM genauso gut wie mit ACE ist.
Weiterhin lieferte SAM genauere binaurale Merkmale, was potentiell zu einer
Verbesserung der Schallquellenlokalisierungfähigkeit führen kann. Die
Simulationen zeigten ebenfalls einen erhöhten Anteil an zeitlichen
Pitchinformationen, welche von SAM bereitgestellt wurden. Die Ergebnisse
der nachfolgenden Pilotstudie mit fünf CI-Nutzern zeigten mehrere Vorteile
von SAM auf. Erstens war eine signifikante Verbesserung der
Tonhöhenunterscheidung bei Sinustönen und gesungenen Vokalen zu erkennen.
Zweitens bestätigten CI-Nutzer, die kontralateral mit einem Hörgerät
versorgt waren, eine natürlicheren Klangeindruck. Als ein sehr bedeutender
Vorteil stellte sich drittens heraus, dass sich alle Testpersonen in sehr
kurzer Zeit (ca. 10 bis 30 Minuten) an SAM gewöhnen konnten. Dies ist
besonders wichtig, da typischerweise Wochen oder Monate nötig sind. Tests
mit Normalhörenden lieferten weitere Nachweise für die verbesserte
Tonhöhenunterscheidung mit SAM.Obwohl SAM noch keine marktreife Alternative
ist, versucht sie den Weg für zukünftige Strategien, die auf Gehörmodellen
beruhen, zu ebnen und ist somit ein erfolgversprechender Kandidat für
weitere Forschungsarbeiten.Cochlear implants (CIs) combined with professional rehabilitation have
enabled several hundreds of thousands of hearing-impaired individuals to
re-enter the world of verbal communication. Though very successful, current
CI systems seem to have reached their peak potential. The fact that most
recipients claim not to enjoy listening to music and are not capable of
carrying on a conversation in noisy or reverberative environments shows
that there is still room for improvement.This dissertation presents a new
cochlear implant signal processing strategy called Stimulation based on
Auditory Modeling (SAM), which is completely based on a computational model
of the human peripheral auditory system.SAM has been evaluated through
simplified models of CI listeners, with five cochlear implant users, and
with 27 normal-hearing subjects using an acoustic model of CI perception.
Results have always been compared to those acquired using Advanced
Combination Encoder (ACE), which is today’s most prevalent CI strategy.
First simulations showed that speech intelligibility of CI users fitted
with SAM should be just as good as that of CI listeners fitted with ACE.
Furthermore, it has been shown that SAM provides more accurate binaural
cues, which can potentially enhance the sound source localization ability
of bilaterally fitted implantees. Simulations have also revealed an
increased amount of temporal pitch information provided by SAM. The
subsequent pilot study, which ran smoothly, revealed several benefits of
using SAM. First, there was a significant improvement in pitch
discrimination of pure tones and sung vowels. Second, CI users fitted with
a contralateral hearing aid reported a more natural sound of both speech
and music. Third, all subjects were accustomed to SAM in a very short
period of time (in the order of 10 to 30 minutes), which is particularly
important given that a successful CI strategy change typically takes weeks
to months. An additional test with 27 normal-hearing listeners using an
acoustic model of CI perception delivered further evidence for improved
pitch discrimination ability with SAM as compared to ACE.Although SAM is
not yet a market-ready alternative, it strives to pave the way for future
strategies based on auditory models and it is a promising candidate for
further research and investigation
Periodicity pitch perception part III: sensibility and Pachinko volatility
Neuromorphic computer models are used to explain sensory perceptions. Auditory models generate cochleagrams, which resemble the spike distributions in the auditory nerve. Neuron ensembles along the auditory pathway transform sensory inputs step by step and at the end pitch is represented in auditory categorical spaces. In two previous articles in the series on periodicity pitch perception an extended auditory model had been successfully used for explaining periodicity pitch proved for various musical instrument generated tones and sung vowels. In this third part in the series the focus is on octopus cells as they are central sensitivity elements in auditory cognition processes. A powerful numerical model had been devised, in which auditory nerve fibers (ANFs) spike events are the inputs, triggering the impulse responses of the octopus cells. Efficient algorithms are developed and demonstrated to explain the behavior of octopus cells with a focus on a simple event-based hardware implementation of a layer of octopus neurons. The main finding is, that an octopus' cell model in a local receptive field fine-tunes to a specific trajectory by a spike-timing-dependent plasticity (STDP) learning rule with synaptic pre-activation and the dendritic back-propagating signal as post condition. Successful learning explains away the teacher and there is thus no need for a temporally precise control of plasticity that distinguishes between learning and retrieval phases. Pitch learning is cascaded: At first octopus cells respond individually by self-adjustment to specific trajectories in their local receptive fields, then unions of octopus cells are collectively learned for pitch discrimination. Pitch estimation by inter-spike intervals is shown exemplary using two input scenarios: a simple sinus tone and a sung vowel. The model evaluation indicates an improvement in pitch estimation on a fixed time-scale
Modeling pitch perception with an active auditory model extended by octopus cells
Pitch is an essential category for musical sensations. Models of pitch perception are vividly discussed up to date. Most of them rely on definitions of mathematical methods in the spectral or temporal domain. Our proposed pitch perception model is composed of an active auditory model extended by octopus cells. The active auditory model is the same as used in the Stimulation based on Auditory Modeling (SAM), a successful cochlear implant sound processing strategy extended here by modeling the functional behavior of the octopus cells in the ventral cochlear nucleus and by modeling their connections to the auditory nerve fibers (ANFs). The neurophysiological parameterization of the extended model is fully described in the time domain. The model is based on latency-phase en- and decoding as octopus cells are latency-phase rectifiers in their local receptive fields. Pitch is ubiquitously represented by cascaded firing sweeps of octopus cells. Based on the firing patterns of octopus cells, inter-spike interval histograms can be aggregated, in which the place of the global maximum is assumed to encode the pitch
μLED‐based optical cochlear implants for spectrally selective activation of the auditory nerve
Abstract Electrical cochlear implants (eCIs) partially restore hearing and enable speech comprehension to more than half a million users, thereby re‐connecting deaf patients to the auditory scene surrounding them. Yet, eCIs suffer from limited spectral selectivity, resulting from current spread around each electrode contact and causing poor speech recognition in the presence of background noise. Optogenetic stimulation of the auditory nerve might overcome this limitation as light can be conveniently confined in space. Here, we combined virus‐mediated optogenetic manipulation of cochlear spiral ganglion neurons (SGNs) and microsystems engineering to establish acute multi‐channel optical cochlear implant (oCI) stimulation in adult Mongolian gerbils. oCIs based on 16 microscale thin‐film light‐emitting diodes (μLEDs) evoked tonotopic activation of the auditory pathway with high spectral selectivity and modest power requirements in hearing and deaf gerbils. These results prove the feasibility of μLED‐based oCIs for spectrally selective activation of the auditory nerve
μLED‐based optical cochlear implants for spectrally selective activation of the auditory nerve
Abstract Electrical cochlear implants (eCIs) partially restore hearing and enable speech comprehension to more than half a million users, thereby re‐connecting deaf patients to the auditory scene surrounding them. Yet, eCIs suffer from limited spectral selectivity, resulting from current spread around each electrode contact and causing poor speech recognition in the presence of background noise. Optogenetic stimulation of the auditory nerve might overcome this limitation as light can be conveniently confined in space. Here, we combined virus‐mediated optogenetic manipulation of cochlear spiral ganglion neurons (SGNs) and microsystems engineering to establish acute multi‐channel optical cochlear implant (oCI) stimulation in adult Mongolian gerbils. oCIs based on 16 microscale thin‐film light‐emitting diodes (μLEDs) evoked tonotopic activation of the auditory pathway with high spectral selectivity and modest power requirements in hearing and deaf gerbils. These results prove the feasibility of μLED‐based oCIs for spectrally selective activation of the auditory nerve
Ko2SiBus : Kontinuierliche und kostengünstige Signalüberwachung für industrielle Bussysteme
Das Monitoring von Industrieanlagen stellt in der Wirtschaft sicher, dass hoch-automatisierte Prozesse reibungslos ablaufen können. Meistens steht hier das Monitoring der Anlagen selbst im Mittelpunkt, die Kommunikationsleitungen für den Datenaustausch auf Ethernet-Basis (z.B. Profinet) sind gegenwärtig noch nicht Teil einer kontinuierlichen Überwachung. Zwar werden auch hier die physischen Verbindungen überprüft, jedoch geschieht häufig dies nur zum Zeitpunkt der Inbetriebnahme, wenn die Anlage noch nicht in das Gesamtsystem integriert ist oder während eines Wartungszyklus, wenn die Maschine für die Dauer der Wartung aus dem Betriebsablauf genommen wird. Dies führt dazu, dass insbesondere heute, wo vor allem Ethernet zunehmend als Basis für die industrielle Kommunikation herangezogen wird, Maschinenausfälle aufgrund fehlender Kabelüberwachung immer wahrscheinlicher werden. Um dem entgegenwirken zu können, wurde im Projekt Ko2SiBus ein neues Messverfahren konzipiert, implementiert und validiert, das kostengünstig in neue oder bestehende Systeme integriert werden kann. Um die Tauglichkeit zu zeigen, wurden die Projektergebnisse in Prototypen und Demonstratoren implementiert, die sowohl als Stand-Alone aber auch als Integrationslösungen dienen können