Toward a computational neuroethology of vocal communication: from bioacoustics to neurophysiology, emerging tools and future directions

T Sainburg, TQ Gentner - Frontiers in Behavioral Neuroscience, 2021 - frontiersin.org
Recently developed methods in computational neuroethology have enabled increasingly
detailed and comprehensive quantification of animal movements and behavioral kinematics …

Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions

C Brodbeck, P Das, M Gillis, JP Kulasingham… - Elife, 2023 - elifesciences.org
Even though human experience unfolds continuously in time, it is not strictly linear; instead,
it entails cascading processes building hierarchical cognitive structures. For instance, during …

Internally generated time in the rodent hippocampus is logarithmically compressed

R Cao, JH Bladon, SJ Charczynski, ME Hasselmo… - Elife, 2022 - elifesciences.org
Abstract The Weber-Fechner law proposes that our perceived sensory input increases with
physical input on a logarithmic scale. Hippocampal 'time cells' carry a record of recent …

A comparative study of eight human auditory models of monaural processing

AO Vecchi, L Varnet, LH Carney, T Dau… - Acta …, 2022 - acta-acustica.edpsciences.org
A number of auditory models have been developed using diverging approaches, either
physiological or perceptual, but they share comparable stages of signal processing, as they …

Signatures of cochlear processing in neuronal coding of auditory information

N Marin, FL Cerna, J Barral - Molecular and Cellular Neuroscience, 2022 - Elsevier
The vertebrate ear is endowed with remarkable perceptual capabilities. The faintest sounds
produce vibrations of magnitudes comparable to those generated by thermal noise and can …

Neuronal selectivity to complex vocalization features emerges in the superficial layers of primary auditory cortex

P Montes-Lourido, M Kar, SV David, S Sadagopan - PLoS biology, 2021 - journals.plos.org
Early in auditory processing, neural responses faithfully reflect acoustic input. At higher
stages of auditory processing, however, neurons become selective for particular call types …

NILRNN: a neocortex-inspired locally recurrent neural network for unsupervised feature learning in sequential data

FA Van-Horenbeke, A Peer - Cognitive Computation, 2023 - Springer
Unsupervised feature learning refers to the problem of learning useful feature extraction
functions from unlabeled data. Despite the great success of deep learning networks in this …

Recurrent neural network model of human event-related potentials in response to intensity oddball stimulation

JA O'Reilly - Neuroscience, 2022 - Elsevier
The mismatch negativity (MMN) component of the human event-related potential (ERP) is
frequently interpreted as a sensory prediction-error signal. However, there is ambiguity …

Decoding violated sensory expectations from the auditory cortex of anaesthetised mice: Hierarchical recurrent neural network depicts separate 'danger'and 'safety' …

JA O'Reilly, T Angsuwatanakul… - European Journal of …, 2022 - Wiley Online Library
The ability to respond appropriately to sensory information received from the external
environment is among the most fundamental capabilities of central nervous systems. In the …

Dissociable roles of the auditory midbrain and cortex in processing the statistical features of natural sound textures

F Peng, NS Harper, AP Mishra… - Journal of …, 2024 - Soc Neuroscience
Sound texture perception takes advantage of a hierarchy of time-averaged statistical
features of acoustic stimuli, but much remains unclear about how these statistical features …