This study finds a neuronal correlate of auditory perceptual streaming in the primary auditory cortex for sequences of tone complexes that have the same amplitude spectrum but a different phase spectrum. Our finding is based on microelectrode recordings of multiunit activity from 270 cortical sites in three awake macaque monkeys. The monkeys were presented with repeated sequences of a tone triplet that consisted of an A tone, a B tone, another A tone and then a pause. The A and B tones were composed of unresolved harmonics formed by adding the harmonics in cosine phase, in alternating phase, or in random phase. A previous psychophysical study on humans revealed that when the A and B tones are similar, humans integrate them into a single auditory stream; when the A and B tones are dissimilar, humans segregate them into separate auditory streams. We found that the similarity of neuronal rate responses to the triplets was highest when all A and B tones had cosine phase. Similarity was intermediate when the A tones had cosine phase and the B tones had alternating phase. Similarity was lowest when the A tones had cosine phase and the B tones had random phase. The present study corroborates and extends previous reports, showing similar correspondences between neuronal activity in the primary auditory cortex and auditory streaming of sound sequences. It also is consistent with Fishman's population separation model of auditory streaming.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797536PMC
http://dx.doi.org/10.3389/fnint.2018.00004DOI Listing

Publication Analysis

Top Keywords

cosine phase
16
auditory streaming
12
auditory cortex
12
tones cosine
12
auditory
9
phase
9
primary auditory
8
sequences tone
8
tone tone
8
tones
8

Similar Publications

In the era of the Internet of Things (IoT), the transmission of medical reports in the form of scan images for collaborative diagnosis is vital for any telemedicine network. In this context, ensuring secure transmission and communication is necessary to protect medical data to maintain privacy. To address such privacy concerns and secure medical images against cyberattacks, this research presents a robust hybrid encryption framework that integrates quantum, and classical cryptographic methods.

View Article and Find Full Text PDF

Network intrusion detection (NID) is an effective manner to guarantee the security of cyberspace. However, the scale of normal network traffic is much larger than intrusion traffic (i.e.

View Article and Find Full Text PDF

Development and Validation of a Literature Screening Tool: Few-Shot Learning Approach in Systematic Reviews.

J Med Internet Res

December 2024

Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Background: Systematic reviews (SRs) are considered the highest level of evidence, but their rigorous literature screening process can be time-consuming and resource-intensive. This is particularly challenging given the rapid pace of medical advancements, which can quickly make SRs outdated. Few-shot learning (FSL), a machine learning approach that learns effectively from limited data, offers a potential solution to streamline this process.

View Article and Find Full Text PDF

In recent years, the introduction of memristors in discrete chaotic map has attracted much attention due to its enhancement of the complexity and controllability of chaotic maps, especially in the fields of secure communication and random number generation, which have shown promising applications. In this work, a three-dimensional discrete memristive hyperchaotic map (3D-DMCHM) based on cosine memristor is constructed. First, we analyze the fixed points of the map and their stability, showing that the map can either have a linear fixed point or none at all, and the stability depends on the parameters and initial state of the map.

View Article and Find Full Text PDF

Dosimetric and biological impact of activity extravasation of radiopharmaceuticals in PET imaging.

Med Phys

November 2024

Advanced Computing for Health Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.

Article Synopsis
  • The study focuses on understanding radiotracer extravasation in PET imaging, an area that hasn't been thoroughly examined but could improve clinical practices.
  • It aims to quantify the absorbed radiation doses from extravasation both at the injection site and its effects on nearby organs, while also exploring the biological effects at the cellular level.
  • Utilizing advanced simulations, including GATE and TOPAS-nBio, the researchers modeled a common PET scan scenario to calculate radiation doses and assess potential DNA damage from radiation exposure within affected cells.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!