about
A review of human sensory dynamics for application to models of driver steering and speed controlA computational perspective on autism.Behavioral, perceptual, and neural alterations in sensory and multisensory function in autism spectrum disorderA link between individual differences in multisensory speech perception and eye movements.Behavioral training promotes multiple adaptive processes following acute hearing loss.Information-Driven Active Audio-Visual Source Localization.Eluding the illusion? Schizophrenia, dopamine and the McGurk effectGravity influences the visual representation of object tilt in parietal cortex.Peripheral nerve injury induces adult brain neurogenesis and remodellingReliability-dependent contributions of visual orientation cues in parietal cortex.The noisy encoding of disparity model of the McGurk effect.Interval timing, temporal averaging, and cue integration.Towards explaining spatial touch perception: Weighted integration of multiple location codes.Low is large: spatial location and pitch interact in voice-based body size estimation.Computational principles and models of multisensory integration.The receptive field is dead. Long live the receptive field?Multisensory integration using dynamical Bayesian networks.Spatiotemporal processing of somatosensory stimuli in schizotypy.The intraparietal sulcus governs multisensory integration of audiovisual information based on task difficulty.Characterizing the roles of alpha and theta oscillations in multisensory attention.Norm compliance affects perceptual decisions through modulation of a starting point bias.
P2860
Q26752995-5A1AFBEF-B8FF-45C3-BC27-4829A4753954Q27320751-6D56FE76-EA05-49DA-B4BB-F19D2B5C4BB0Q30371253-4663D0D6-1A05-4808-A44D-208F15364454Q30384463-83C89D79-04B0-4B39-9F37-1542E6024ACDQ30385183-1DCF74B1-362C-4B17-8C5C-2E929CF12EF6Q30403211-DC48CE19-064F-4985-8AE7-218D56A6BACEQ34003856-A7EACC66-AD72-4F27-8479-EBE4EA8A4B31Q34383381-11046C44-193A-4539-A0AB-817DD96F4500Q34541069-E2DE79A6-635E-4231-B1E2-9EF7CCEB8ADDQ34753217-F9EE33B7-45D2-4B20-B2BA-2E932B722A18Q35209125-CA7D37F9-FDF3-4E21-BD2E-A7ACE41040A6Q36882618-6DC44070-E93D-4776-9B25-A49AFF615D42Q38871989-0D70625F-3F87-436B-8AC8-E394388CF4CFQ38946969-0398C0E8-0E6A-48D1-9FEF-BC9EA6B13286Q39029535-7C1DDDC5-B73A-426D-AD3E-81D41915A7F0Q40227311-F2932998-9F7C-423B-877C-6D39C227B0C8Q40955450-C397D60D-5CF0-4724-B172-00ADEE102481Q42355636-3C22C451-E938-4935-B5AF-FE1C6712F362Q47918481-DD36C8A8-D4EB-450E-9906-988079CAA863Q48281315-844C1301-2D0F-4CB6-8514-131D10A11B9CQ52805105-C86279FF-E59C-41DD-BC51-53BC60394BDA
P2860
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
@id
artikull shkencor
@sq
artículo científico
@es
name
Models and processes of multisensory cue combination.
@en
type
label
Models and processes of multisensory cue combination.
@en
prefLabel
Models and processes of multisensory cue combination.
@en
P2860
P1476
Models and processes of multisensory cue combination.
@en
P2093
Ari Rosenberg
Robert L Seilheimer
P2860
P356
10.1016/J.CONB.2013.11.008
P577
2013-12-17T00:00:00Z