A5060580193- Animal Vocal Communication and Behavior
- Animal Behavior and Reproduction
- Marine animal studies overview
- Neuroendocrine regulation and behavior
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
- Anomaly Detection Techniques and Applications
- Infant Health and Development
- Speech and Audio Processing
- Multisensory perception and integration
- Phonetics and Phonology Research
- Industrial Vision Systems and Defect Detection
- Generative Adversarial Networks and Image Synthesis
- Language and cultural evolution
- Neural and Behavioral Psychology Studies
- Speech Recognition and Synthesis
- Music and Audio Processing
- Digital Media Forensic Detection
- Primate Behavior and Ecology
- Memory and Neural Mechanisms
- Stress Responses and Cortisol
- Noise Effects and Management
- Visual perception and processing mechanisms
- Child Development and Digital Technology
- Chemical Synthesis and Analysis
The University of Tokyo
2015-2024
National Institute of Advanced Industrial Science and Technology
2023-2024
Tokyo University of the Arts
2014-2024
Tsukuba International University
2022
Kobe Gakuin University
2020-2021
University of Zurich
2017-2020
ETH Zurich
2017-2020
Kobe University
2014-2020
SIB Swiss Institute of Bioinformatics
2019
Japan Society for the Promotion of Science
2015-2019
Rodents' ultrasonic vocalizations (USVs) provide useful information for assessing their social behaviors. Despite previous efforts in classifying subcategories of time-frequency patterns USV syllables to study functional relevance, methods detecting vocal elements from continuously recorded data have remained sub-optimal. Here, we propose a novel procedure segments continuous sound containing background noise during the observation behavior. The proposed utilizes stable version spectrogram...
Birdsong provides a unique model for understanding the behavioral and neural bases underlying complex sequential behaviors. However, birdsong analyses require laborious effort to make data quantitatively analyzable. The previous attempts had succeeded provide some reduction of human efforts involved in segment classification. present study was aimed further reduce while increasing classification performance. In current proposal, linear-kernel support vector machine employed minimize amount...
Understanding the structure and function of neural circuits underlying speech language is a vital step toward better treatments for diseases these systems. Songbirds, among few animal orders that share with humans ability to learn vocalizations from conspecific, have provided many insights into mechanisms vocal development. However, research learning has been hindered by lack tools rapid genetic targeting specific neuron populations meet quick pace developmental learning. Here, we present...
Precise neural sequences are associated with the production of well-learned skilled behaviors. Yet, how arise in brain remains unclear. In songbirds, premotor projection neurons cortical song nucleus HVC necessary for producing learned and exhibit precise sequential activity during singing. Using cell-type specific calcium imaging we identify populations beginning ending singing-related sequences. We characterize that bookend neuronal transition from sparse preparatory prior to Recordings...
Motor skills learned through practice are consolidated at later time, which can include nighttime, but the time course of motor memory consolidation and its underlying mechanisms remain poorly understood. We investigated neural substrates changes in birdsong, a tractable model system for studying basis skill learning. Previous studies male zebra finches Bengalese have demonstrated that adaptive adult song structure reinforcement paradigm initially driven by cortical-basal ganglia circuit,...
Accurate and automated detection of anomalous samples in an image dataset can be accomplished with a probabilistic model. Such images have heterogeneous complexity, however, model tends to overlook simply shaped objects small anomalies. The reason is that assigns undesirable lower likelihoods complexly objects, which are nevertheless consistent the current set standards. This difficulty critical, especially for defect task, where anomaly scratch or grime. To overcome this difficulty, we...
One of the most common needs in manufacturing plants is rejecting products not coincident with standards as anomalies. Accurate and automatic anomaly detection improves product reliability reduces inspection cost. Probabilistic models have been employed to detect test samples lower likelihoods anomalies unsupervised manner. Recently, a probabilistic model called deep generative (DGM) has proposed for end-to-end modeling natural images already achieved certain success. However, machine...
The ultrasonic vocalizations of rats can transmit affective states to listeners. For example, typically produce shorter calls in a higher frequency range social situations (pleasant call: PC), whereas they emit longer with lower distress (distress DC). Knowing what acoustical features contribute auditory discrimination between these two will help better characterize perception vocalized sounds rats. In turn, this could lead estimation models for processing sensory systems general. Here,...
Research on the songbird zebra finch (Taeniopygia guttata) has advanced our behavioral, hormonal, neuronal, and genetic understanding of vocal learning. However, little is known about impact typical experimental manipulations welfare these birds. Here we explore whether undirected singing rate can be used as an indicator welfare. We tested this idea by performing a post hoc analysis behavior in isolated male finches subjected to interactive white noise, surgery, or tethering. find that...
Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart the produced sequence. Assessing how long past context has an effect on current status provides crucial information to understand mechanism for complex behaviors. Birdsongs serve as representative model studying signals by non-human animals, while previous reports were upper-bounded methodological limitations. Here, we newly estimated birdsongs more scalable way...
An ultrasonic pulse propagating in cancellous bone can be separated into two waves depending on the condition of specimen. These waves, which are called fast wave and slow wave, provide important information for diagnosis osteoporosis. The present study proposes to utilize a signal processing method that extracts instantaneous frequency (IF) waveforms from multiple spectral channels. was expected able show detailed time-frequency properties being transmitted through bone. employed method,...
Birdsong is a unique model to address learning mechanisms of the timing control sequential behaviors, with characteristic temporal structures consisting serial sequences brief vocal elements (syllables) and silent intervals (gaps). Understanding neural for plasticity such behavior should be aided by characterization its developmental changes. Here, we assessed level acute between young adult Bengalese finches, also quantified change in variability structure. Acute was tested delivering...
Whether face gender perception is processed by encoding holistic (whole) or featural (parts) information a controversial issue. Although neuroimaging studies have identified brain regions related to perception, the temporal dynamics of this process remain under debate. Here, we mechanism and perception. We used stereoscopic depth manipulation create two conditions: front behind condition. In condition, facial patches were presented stereoscopically in occluder participants perceived them as...
In this study, we investigated how the temporal envelopes contribute to recognition of isolated syllables, words, and sentences in noise-vocoded speech, under comparison with influence spectral resolution. The resolutions speech materials were systematically manipulated by a noise-vocoding technique. Japanese monomoraic meaningful meaningless used as test materials. original sound was spectrally separated filter bank, each band replaced noise, preserving its envelope. Spectral resolution...
Metacognition is defined as cognition about one's own cognitive state; it enables us to estimate our performance during goal-directed actions and select a suitable strategy based on that estimation. Identifying the neural mechanisms underlie this process will contribute understanding of how we realize adaptive self-control in daily life. Here, focused substrates allow voluntarily utilize prospective metacognition carry out such action selection. Participants were asked bet their recall sound...
Growing evidence indicates a moderate but significant relationship between processing speed in visuo-cognitive tasks and general intelligence. On the other hand, findings from neuroscience proposed that primate visual system consists of two major pathways, ventral pathway for objects recognition dorsal spatial attentive analysis. Previous studies seeking factors human intelligence indicated correlation fluid inspection time (IT), an index object performed pathway. We thus presently examined...
Metacognition includes the ability to refer one's own cognitive states, such as confidence, and adaptively control behavior based on this information. This is thought allow us predictably our without external feedback, for example, even before we take action. Many studies have suggested that metacognition requires a brain-wide network of multiple brain regions. However, modulation effective connectivity within during metacognitive tasks remains unclear. study focused medial prefrontal...
Musical compositions are distinguished by their unique rhythmic patterns, determined subtle differences in how regular beats subdivided. Precise perception of these subdivisions is essential for discerning nuances patterns. While musical rhythm typically comprises sound elements with a variety timbres or spectral cues, the impact such variations on patterns remains unclear. Here, we show that consistency cues affects perceptual accuracy discriminating subdivided We conducted online...
Vocal control plays a critical role in smooth social communication. Speakers constantly monitor auditory feedback (AF) and make adjustments when their voices deviate from intentions. Previous studies have shown that certain acoustic features of the AF are artificially altered, speakers compensate for this alteration opposite direction. However, little is known about how vocal system implements compensations alterations different features, associates them with subjective consciousness. The...
Semi-supervised learning is a topic of practical importance because the difficulty obtaining numerous labeled data. In this paper, we apply an extension adversarial autoencoder to semi-supervised tasks. attempt separate style and content, divide latent representation into two parts. We regularize by imposing prior distribution on both parts make them independent. As result, one representations associated with which useful classify images. demonstrate that our method disentangles content...