Adaptive Efficient Coding of Correlated Acoustic Properties
نویسندگان
چکیده
منابع مشابه
Rapid efficient coding of correlated complex acoustic properties.
Natural sounds are complex, typically changing along multiple acoustic dimensions that covary in accord with physical laws governing sound-producing sources. We report that, after passive exposure to novel complex sounds, highly correlated features initially collapse onto a single perceptual dimension, capturing covariance at the expense of unitary stimulus dimensions. Discriminability of sound...
متن کاملVision: Efficient Adaptive Coding
Recent studies show that perception is driven not only by the stimuli currently impinging on our senses, but also by the immediate past history. The influence of recent perceptual history on the present reflects the action of efficient mechanisms that exploit temporal redundancies in natural scenes.
متن کاملAdaptive sensory processing for efficient place coding
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping receptive fields is constructed online during exploration. In contrast to similar models of place cells, parameters of neurons in the sensory pathway adapt online to the environments statistics in order to maximise in...
متن کاملEnergy-Efficient Channel Coding Strategy for Underwater Acoustic Networks
Underwater acoustic networks (UAN) allow for efficiently exploiting and monitoring the sub-aquatic environment. These networks are characterized by long propagation delays, error-prone channels and half-duplex communication. In this paper, we address the problem of energy-efficient communication through the use of optimized channel coding parameters. We consider a two-layer encoding scheme empl...
متن کاملAcoustic correlated sources direction finding in the presence of unknown spatial correlation noise
In this paper, a new method is proposed for DOA estimation of correlated acoustic signals, in the presence of unknown spatial correlation noise. By generating a matrix from the signal subspace with the Hankel-SVD method, the correlated resource information is extracted from each eigen-vector. Then a joint-diagonalization structure is constructed of the signal subspace and basis it, independent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Neuroscience
سال: 2019
ISSN: 0270-6474,1529-2401
DOI: 10.1523/jneurosci.0141-19.2019