A5070107313- Face Recognition and Perception
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- Conferences and Exhibitions Management
- Topic Modeling
- Advanced Neuroimaging Techniques and Applications
- Labor market dynamics and wage inequality
- Visual Attention and Saliency Detection
- Memory Processes and Influences
- Psychology of Moral and Emotional Judgment
- Categorization, perception, and language
- Mental Health via Writing
- Higher Education Learning Practices
- Digital Marketing and Social Media
- Higher Education and Employability
- Advanced MRI Techniques and Applications
- Pharmaceutical Quality and Counterfeiting
- Image Retrieval and Classification Techniques
- EEG and Brain-Computer Interfaces
- Molecular Biology Techniques and Applications
- Deception detection and forensic psychology
- Multisensory perception and integration
- Pharmaceutical Practices and Patient Outcomes
- Climate Change Communication and Perception
Princeton University
2020-2023
Neuroscience Institute
2023
University of Illinois Urbana-Champaign
2016-2017
Nalanda University
2016
Advanced brain imaging analysis methods, including multivariate pattern (MVPA), functional connectivity, and alignment, have become powerful tools in cognitive neuroscience over the past decade. These are implemented custom code separate packages, often requiring different software language proficiencies. Although usable by expert researchers, novice users face a steep learning curve. difficulties stem from use of new programming languages (e.g., Python), how to apply machine-learning...
Abstract As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical, and legal barriers effectively enabled individuals from groups that have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g., caregiving responsibilities. Yet,...
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
Predictive coding models can simulate known perceptual or neuronal phenomena, but there have been fewer attempts to identify a reliable neural signature of predictive for complex stimuli. In pair studies, we test whether the N300 component event-related potential, occurring 250-350-ms poststimulus-onset, has response properties expected such hypothesis testing at level whole objects and scenes. We show that amplitudes are smaller representative ("good exemplars") compared with less ("bad...
Event segmentation theory posits that people segment continuous experience into discrete events and event boundaries occur when there are large transient increases in prediction error. Here, we set out to test this the context of story listening, by using a deep learning language model (GPT-2) compute predicted probability distribution next word, at each point story. For three stories, used distributions generated GPT-2 time series We also asked participants listen these stories while...
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally-optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
Failure in the training market may result from credit constraints and inability to insure against labor income uncertainty, deterring potential trainees, or imperfections that create external benefits for Indian industries. This paper constructs a model of affected by both problems, examines rationale levy schemes, intended make industries increase investment training. It is shown regulating industries, equivalently financing subsidy through taxation profits, can achieve Pareto improvement...
As the global health crisis unfolded throughout world, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical and legal barriers effectively enabled individuals who have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g. caregiving responsibilities. Yet, mere...
Abstract Predictive coding models can simulate known perceptual or neuronal phenomena, but there have been fewer attempts to identify a reliable neural signature of predictive for complex stimuli. In pair studies, we test whether the N300 component event-related potential, occurring 250-350 ms post-stimulus-onset, has response properties expected such hypothesis testing at level whole objects and scenes. We show that amplitudes are smaller representative (“good exemplars”) compared less...
In a fast-growing economy like India and having comparatively young population, education, especially skill-based plays an important role. the last two decades’ emphasis has been placed on this through education policy interventions at all levels of governance. Despite this, impact is not sufficient. There need for industry to associate with skill development institutions need-based effective management programmes. This paper attempts study students’ perceptions programmes their efficiency...
When we view a picture or read word, evoke its meaning (semantics) based on prior knowledge of the concept. We previously showed that pictures and words describing scene categories similar representations in inferior frontal gyrus, precuneus, angular gyrus ventral visual cortex. Although know neural tools animals differ, are there differences when these concepts evoked through words? To examine nature similarities between concepts, activity for using classifier to decode BOLD signal within...
The layers of Deep Neural Networks (DNNs) have shown some commonality with processing in the visual cortical hierarchy. It is unclear, however, whether DNNs capture other behavioral regularities natural scenes, e.g. representativeness an image to its category. Humans are better at categorizing and detecting good (more representative category) than bad exemplars scenes. Similarly, prior work has that decoded V1 as well higher areas such retrosplenial cortex (RSC) parahippocampal place area...