A5018828867- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Face Recognition and Perception
- Ophthalmology and Visual Impairment Studies
- Color perception and design
- Glaucoma and retinal disorders
- Multisensory perception and integration
- Tactile and Sensory Interactions
- Color Science and Applications
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Morphological variations and asymmetry
- Retinal Development and Disorders
- Neuroscience and Music Perception
- Motor Control and Adaptation
- Digital Mental Health Interventions
- Visual Attention and Saliency Detection
- Neurobiology and Insect Physiology Research
- Neural Networks and Applications
- Retinal Imaging and Analysis
- Advanced Vision and Imaging
- Mental Health Treatment and Access
- Aesthetic Perception and Analysis
- Action Observation and Synchronization
- Categorization, perception, and language
NHS Digital
2025
Wellcome Trust
2019-2022
University of Cambridge
2014-2021
Cambridge School
2017
University of Birmingham
2008-2016
National Institute of Information and Communications Technology
2015
Osaka University
2015
McGill University
2015
KU Leuven
2013-2014
University of Alabama at Birmingham
2011
Processing of binocular disparity is thought to be widespread throughout cortex, highlighting its importance for perception and action. Yet the computations functional roles underlying this activity across areas remain largely unknown. Here, we trace neural representations mediating depth human brain using multivariate analysis methods high-resolution imaging. Presenting disparity-defined planes, determine magnetic resonance imaging (fMRI) selectivity near versus far positions. First, test...
Human behavior is guided by our expectations about the future. Often, we make predictions monitoring how event sequences unfold, even though such may appear incomprehensible. Event structures in natural environment typically vary complexity, from simple repetition to complex probabilistic combinations. How do learn these structures? Here investigate dynamics of structure learning tracking human responses temporal that change unbeknownst participants. Participants were asked predict upcoming...
Expertise in recognizing objects cluttered scenes is a critical skill for our interactions complex environments and thought to develop with learning. However, the neural implementation of object learning across stages visual analysis human brain remains largely unknown. Using combined psychophysics functional magnetic resonance imaging (fMRI), we show link between shape-specific distributed neuronal plasticity cortex. We report stronger fMRI responses trained than untrained shapes early...
Abstract Synchronising movements with events in the surrounding environment is an ubiquitous aspect of everyday behaviour. Often, information about a stream available across sensory modalities. While it clear that we synchronise more accurately to auditory cues than other modalities, little known how brain combines multisensory signals produce timed actions. Here, investigate integration for sensorimotor synchronisation. We extend prevailing linear phase correction model movement...
The binocular disparity between the views of world registered by left and right eyes provides a powerful signal about depth structure environment. Despite increasing knowledge cortical areas that process from animal models, comparatively little is known local architecture stereoscopic processing in human brain. Here, we take advantage high spatial specificity image contrast offered 7 tesla fMRI to test for systematic organization representations Participants viewed random dot stereogram...
Binocular stereopsis is one of the primary cues for three-dimensional (3D) vision in species ranging from insects to primates. Understanding how brain extracts depth two different retinal images represents a tractable challenge sensory neuroscience that has so far evaded full explanation. Central current thinking idea needs identify matching features (i.e., solving "stereoscopic correspondence problem") objects world can be triangulated. Although intuitive, this approach fails account key...
Significance We perceive our environment through multiple independent sources of sensory input. The brain is tasked with deciding whether signals are produced by the same or different events (i.e., solve problem causal inference). Here, we train a neural network to inference either combining separating visual and vestibular inputs in order estimate self- scene motion. find that recapitulates key neurophysiological congruent opposite neurons) behavioral (e.g., reliability-based cue weighting)...
Abstract Understanding the drivers of health and economic cost for treatment mental conditions is critical to meet accelerating demands care. We conducted an evaluation real-world healthcare-systems data from 27,540 patients receiving care a mood or anxiety disorder within UK National Healthcare Service. Using Markov models built on discrete states compare cost-effectiveness different interventions, we show that principal healthcare relate waiting times effectiveness. find internet-delivered...
Binocular disparity, the slight differences between images registered by our two eyes, provides an important cue when estimating three-dimensional (3D) structure of complex environment we inhabit. Sensitivity to binocular disparity is evident at multiple levels visual hierarchy in primate brain, from early cortex parietal and temporal areas. However, relationship activity these areas key perceptual functions that exploit information for 3D shape perception remains open question. Here...
Adults optimize perceptual judgements by integrating different types of sensory information [1Hillis J.M. Watt S.J. Landy M.S. Banks Slant from texture and disparity cues: optimal cue combination.J. Vis. 2004; 4: 967-992Crossref PubMed Scopus (340) Google Scholar, 2Ernst M.O. Humans integrate visual haptic in a statistically fashion.Nature. 2002; 415: 429-433Crossref (3062) Scholar]. This engages specialized neural circuits that fuse signals the same [3Ban H. Preston T.J. Meeson A. Welchman...
When tracking an object moving in depth, the visual system should take changes of eye vergence into account to judge object's 3D speed correctly. Previous work has shown that extraretinal information about is exploited when judging sign motion. Here, we ask whether signals also affect judgments speed. Observers judged a small target surrounded by large background. To manipulate information, varied demand entire stimulus sinusoidally over time. At different phases pursuit, changed disparity...
Determining the approach of a moving object is vital survival skill that depends on brain combining information about lateral translation and motion-in-depth. Given importance sensing motion for obstacle avoidance, it surprising humans make errors, reporting an will miss them when collision course with their head. Here we provide evidence biases observed participants estimate movement in depth result from brain's use "prior" favoring slow velocity. We formulate Bayesian model computing 3D...
Visually guided behavior depends on (1) extracting and (2) discriminating signals from complex retinal inputs, these perceptual skills improve with practice [1Dosher B.A. Lu Z.L. Perceptual learning reflects external noise filtering internal reduction through channel reweighting.Proc. Natl. Acad. Sci. USA. 1998; 95: 13988-13993Crossref PubMed Scopus (384) Google Scholar]. For instance, training aerial reconnaissance facilitated World War II Allied military operations [2Downing T. Spies in...
Many everyday skilled actions depend on moving in time with signals that are embedded complex auditory streams (e.g. musical performance, dancing or simply holding a conversation). Such behaviour is apparently effortless; however, it not known how humans combine to support movement production and coordination. Here, we test participants synchronize their movements when there potentially conflicting targets guide actions. Participants tapped fingers two simultaneously presented metronomes of...
Reliable estimation of three-dimensional (3D) surface orientation is critical for recognizing and interacting with complex 3D objects in our environment. Human observers maximize the reliability their estimates slant by integrating multiple depth cues. Texture binocular disparity are two such cues, but they qualitatively very different. Existing evidence suggests that representations tilt from each these cues coincide at single-neuron level higher cortical areas. However, circuits...
When immersed in a new environment, we are challenged to decipher initially incomprehensible streams of sensory information. However, quite rapidly, the brain finds structure and meaning these incoming signals, helping us predict prepare ourselves for future actions. This skill relies on extracting statistics event environment that contain regularities variable complexity from simple repetitive patterns complex probabilistic combinations. Here, test mechanisms mediate our ability adapt...
Digital mental health interventions, such as artificial intelligence (AI) conversational agents, hold promise for improving access to care by innovating therapy and supporting delivery. However, little research exists on patient perspectives regarding AI which is crucial their successful implementation. This study aimed fill the gap exploring patients' perceptions acceptability of agents in healthcare. Adults with self-reported mild moderate anxiety were recruited from UMass Memorial Health...
Learning is thought to facilitate the recognition of objects by optimizing tuning visual neurons behaviorally relevant features. However, learning mechanisms that shape neural selectivity for forms in human brain remain essentially unknown. Here, we combine behavioral and functional magnetic resonance imaging (fMRI) measurements test mediate enhanced sensitivity discrimination after training. In particular, used high-resolution fMRI multivoxel pattern classification methods investigate fine...