Home › Categories › Science & Nature› Hierarchical Generative Model For Mid-Level Auditory Representations Of Natural Sounds

Hierarchical Generative Model For Mid-Level Auditory Representations Of Natural Sounds.pdf

Wiktor_COSYNE_2015_hierarchy_final.pdf
Preview of Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds
🔗 Source: cbmm.mit.edu
📊 Size: 2.52 MB
📄 Pages: 2 pages
⬇️ Downloads: 21

Summary

Key Insights:

Mid-level representation: The model focuses on learning combinations of spectrotemporal features from natural sound statistics, bridging low-level acoustic patterns and high-level meaningful representations.
 Sparse convolutional code: The first layer forms a sparse convolutional code of spectrograms, resembling receptive fields (RFs) of mid-brain and cortical neurons.
Time-varying magnitude encoding: The second layer encodes patterns of time-varying variance in the first layer activations, leading to more selective representations of complex acoustic patterns.
 Noise invariance: The model constructs representations progressively more invariant to noise, reflecting recent experimental findings.

Results:

The model demonstrates:

Improved performance on a denoising task, implying a closer match to natural stimulus distributions.
 Selectivity in auditory neuron characterizations by multidimensional RFs and sensitivity to increasingly abstract structures.
* Consistent predictions with experimental observations regarding noise invariance and progressive representation construction.

Significance:

These findings suggest that mid-level auditory representations may emerge from high-order stimulus dependencies present in the natural environment, providing a potential explanation for how the brain efficiently processes complex sounds.

Download File

Description

Researchers from MIT's Department of Brain and Cognitive Sciences explore how neurons process natural sounds, focusing on the hierarchical coding strategies that enable auditory perception by combining low-level acoustic patterns into complex structures. Their work aims to bridge the gap between visual models explaining phase invariance in V1 and understanding auditory scene representation.

Technical Information

  • File Format: PDF
  • File Size: 2.52 MB
  • Pages: 2
  • Language: EN
  • Total Downloads: 21
  • Last Updated: 6 days ago

Document Overview

This PDF document about Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds.

Related Topics

If you're interested in Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds, you might also want to explore:

Hierarchical guideHierarchical tutorialGenerative guideGenerative tutorialModel guideModel tutorialMid-Level guideMid-Level tutorialAuditory guideAuditory tutorialRepresentations guideRepresentations tutorialNatural guideNatural tutorialSounds guideSounds tutorial

Related Categories

Business & Finance
41204 documents
Education & Learning
22711 documents
Health & Wellness
8956 documents
Technology
4783 documents

Related Documents

Preview of Towards Text Generation with Adversarially Learned Neural Outlines
PDF file

Towards Text Generation with Adversarially Learned Neural Outlines

386 KBSandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, CEN13 pages
Document en en
Download
Preview of pdf
PDF file

pdf

201 KBYangfeng Ji ; Chenhao Tan ; Sebastian Martschat ; Yejin Choi ; Noah A. SmithEN10 pages
Researchers presented a new language model, ENTITYNLM, that can explicitly model entities, dynamically update their representations, and contextually...
Download
Preview of NLG Model
PDF file

NLG Model

587 KBShang-Yu Su ; Kai-Ling Lo ; Yi Ting Yeh ; Yun-Nung ChenEN6 pages
Natural language generation (NLG) is critical in spoken dialogue systems, involving sentence planning and surface realization.
Download
Preview of Medical Report Generation
PDF file

Medical Report Generation

2.08 MBBaoyu Jing1, 2 Pengtao Xie1 Eric P. Xing1EN1 page
Researchers propose a multi-task learning framework for automatic generation of medical imaging reports, addressing challenges such as identifying...
Download
Preview of PDF
PDF file

PDF

2.67 MBYunsheng Bai, Ken Gu, Yizhou Sun, Wei WangEN7 pages
Bi-Level Graph Neural Networks (BI-GNN) are introduced for modeling biological link prediction tasks, such as drug-drug interaction (DDI) prediction.
Download

Download Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds eBooks for free and learn more about Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds. These books contain exercises and tutorials to improve your practical skills, at all levels!

Not satisfied with this document? We have related documents to Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds, try searching with similar keywords: Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds, "Hinder och möjliggörare för 1.5°-livsstilar: Ytliga och djupgående strukturella faktorer som påverkar potentialen för hållbar k, Ändring av genomföranderam för en europeisk plattform för utbyte av balansenergi från frekvensåterställn ingsreserver med manuell, Rekommendationer för vaccination mot covid-19 för särskilda grupper av barn -, förstudie för att utvärdera förutsättningarna att genom en innovationsupphandli ng utveckla en drifttjänst för geoenergilager, Självkänsla och KBT ‐ Påverkas självkänslan vid KBT för depression och ångesttillstånd?Se lf‐esteem and CBT ‐ How does CBT for de, Matglädje för alla: en guide till rätt konsistens för olika behov, auditory blending sounds activities for kindergarten

You can download PDF versions of the user's guide, manuals and ebooks about Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds, you can also find and download for free A free online manual (notices) with beginner and intermediate, Downloads Documentation, You can download PDF files (or DOC and PPT) about Hierarchical Generative Model for Mid-Level Auditory Representations of Natural Sounds for free, but please respect copyrighted ebooks.