ReviewHearing research2018
Incorporating behavioral and sensory context into spectro-temporal models of auditory encoding.
Review in Hearing research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Receptive-field nonlinearities in primary auditory cortex: a comparative perspective.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Subcortical origin of nonlinear sound encoding in auditory cortex.Current biology : CB · 2024Article
- A sparse code for natural sound context in auditory cortex.Current research in neurobiology · 2024Article
- Spectral-temporal processing of naturalistic sounds in monkeys and humans.Journal of neurophysiology · 2024Article
- naplib-python: Neural acoustic data processing and analysis tools in python.Software impacts · 2023Article
- Article
- Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex.NeuroImage · 2023Article
- Trait anxiety modulates the detection sensitivity of negative affect in speech: an online pilot study.Frontiers in behavioral neuroscience · 2023Article
- Cortical adaptation to sound reverberation.eLife · 2022Article
- Multiple sounds degrade the frequency representation in monkey inferior colliculus.The European journal of neuroscience · 2022Article
- Neural Substrates and Models of Omission Responses and Predictive Processes.Frontiers in neural circuits · 2022Review
- An Emergent Population Code in Primary Auditory Cortex Supports Selective Attention to Spectral and Temporal Sound Features.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Streaming of Repeated Noise in Primary and Secondary Fields of Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A Survey on Probabilistic Models in Human Perception and Machines.Frontiers in robotics and AI · 2020Review
- The revolution will not be controlled: natural stimuli in speech neuroscience.Language, cognition and neuroscience · 2020Article
- Spectral tuning of adaptation supports coding of sensory context in auditory cortex.PLoS computational biology · 2019Article
- Quantifying Neuronal Information Flow in Response to Frequency and Intensity Changes in the Auditory Cortex.Conference record. Asilomar Conference on Signals, Systems & Computers · 2018Article
- Recent advances in understanding the auditory cortex.F1000Research · 2018Review
Corrections and comments
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1 author.
Funding
Abstract
For several decades, auditory neuroscientists have used spectro-temporal encoding models to understand how neurons in the auditory system represent sound. Derived from early applications of systems identification tools to the auditory periphery, the spectro-temporal receptive field (STRF) and more sophisticated variants have emerged as an efficient means of characterizing representation throughout the auditory system. Most of these encoding models describe neurons as static sensory filters. However, auditory neural coding is not static. Sensory context, reflecting the acoustic environment, and behavioral context, reflecting the internal state of the listener, can both influence sound-evoked activity, particularly in central auditory areas. This review explores recent efforts to integrate context into spectro-temporal encoding models. It begins with a brief tutorial on the basics of estimating and interpreting STRFs. Then it describes three recent studies that have characterized contextual effects on STRFs, emerging over a range of timescales, from many minutes to tens of milliseconds. An important theme of this work is not simply that context influences auditory coding, but also that contextual effects span a large continuum of internal states. The added complexity of these context-dependent models introduces new experimental and theoretical challenges that must be addressed in order to be used effectively. Several new methodological advances promise to address these limitations and allow the development of more comprehensive context-dependent models in the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.