Results 121 to 130 of about 226,686 (358)
Advanced Intelligent Systems, EarlyView.This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source
Neurobiology of dyslexia : A reinterpretation of the data [PDF]
, 2004 Theories of developmental dyslexia differ on how to best interpret the great variety of symptoms (linguistic, sensory, motor) observed in dyslexic individuals. One approach views dyslexia as a specific phonological deficit, which sometimes co-occurs with
Ramus, Franck
core +4 more sources
Frontiers in Neuroscience, 2019 Objective: Hearing loss, one main risk factor of tinnitus and hyperacusis, is believed to involve significant central functional abnormalities. The recruitment of the auditory cortex in non-auditory sensory and higher-order cognitive processing has been ...
Ying Luan +5 more
doaj +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Advanced Intelligent Systems, EarlyView.Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Does neural activity in the auditory cortex predict speech recognition with CI?
, 2021 Iva Speck +6 more
openalex +1 more source
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Advanced Intelligent Systems, EarlyView.Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
Logarithmic distributions prove that intrinsic learning is Hebbian
, 2017 In this paper, we present data for the lognormal distributions of spike rates, synaptic weights and intrinsic excitability (gain) for neurons in various brain areas, such as auditory or visual cortex, hippocampus, cerebellum, striatum, midbrain nuclei ...
Scheler, Gabriele
core +2 more sources
Inhibition in the Human Auditory Cortex
PLOS ONE, 2016 Despite their indispensable roles in sensory processing, little is known about inhibitory interneurons in humans. Inhibitory postsynaptic potentials cannot be recorded non-invasively, at least in a pure form, in humans. We herein sought to clarify whether prepulse inhibition (PPI) in the auditory cortex reflected inhibition via interneurons using ...
Koji Inui +4 more
openaire +4 more sources
Effects of Transecting the Brachium of the Inferior Colliculus upon Auditory Cortex Potentials Elicited by Clicks [PDF]
, 1965 Norman L. Strominger, P. Nieder
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source