Cognitive and Brain Sciences: Recent submissions

Now showing items 1-20 of 124

Temporal synchronization analysis: a model-free method for detecting robust and nonlinear brain activation in fMRI data

Fialoke, Suruchi; Deb, Aniruddha; Rode, Kushagra; Tripathi, Vaibhav; Garg, Rahul (Cold Spring Harbor Laboratory, 2025-04)

The sluggishness of the fMRI blood oxygenation level dependent (BOLD) signal has motivated the use of block or trial-based experimental designs that rely on the assumption of linearity, typically modeled using the General ...
Sentiment analysis of Reddit posts using the BERT model in peer-to-peer networks

Dash, Prasant Kumar; Singh, Tithi; Panda, Rabi Shankar; Budhiraja, Ritika; Das, Chinmoyee; Swain, Rajshree (Institute of Electrical and Electronics Engineers (IEEE), 2024-12-20)

Sentiment analysis, a key area in Natural Language Processing (NLP), involves categorizing text data based on its emotional tone-positive, negative, or neutral. With the growing reliance on online interactions, understanding ...
Prime and punishment: effect of religious priming and group membership on prosocial behavior

Chhabra, Dinesh; Parmar, Nadeesh; Sabhapondit, Bagmish; Choudhary, Tanya (SAGE Publications, 2025-01)

This research investigates the influence of religious priming and group membership on prosocial behavior, measured by the willingness to donate to fictitious charities in a hypothetical scenario. A sample of 258 Hindu ...
The crosstalk between insulin resistance and tau pathology

Kumar, Rashi; Varshney, Ritu; Gupta, Sharad (Wiley, 2025-07-27)

Background Diabetes is a modifiable risk factor for Alzheimer’s disease, and GLUT4, an insulin-dependent transporter, plays a crucial role in insulin-resistant conditions and, consequently, in diabetes development. The ...
Towards optimising EEG decoding using post-hoc explanations and domain knowledge

Rajpura, Param; Meena, Yogesh Kumar (Institute of Electrical and Electronics Engineers (IEEE), 2024-07-15)

Decoding Electoencephalography (EEG) during motor imagery is pivotal for the Brain-Computer Interface (BCI) system, influencing its overall performance significantly. As end-to-end data-driven learning methods advance, the ...
Economic inequality and relative deprivation influence prosocial decisions towards moral and immoral causes

Sahai, Abhishek; Manjaly, Jaison A. (Taylor and Francis, 2024-12)

Economic inequality influences the decisions made by people including prosocial decisions. People make prosocial choices to support organizations that might be moral or immoral in nature. Prosocial choices create moral ...
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?

Mehta, Rishan; Rajpura, Param; Meena, Yogesh Kumar (Cornell University Library, 2024-10)

Resting-state EEG data in neuroscience research serve as reliable markers for user identification and reveal individual-specific traits. Despite this, the use of resting-state data in EEG classification models is limited. ...
Lack of visual experience leads to severe distortions in the hand representation of the body model

Kottu, Rakesh Srisai; Lazar, Leslee (Elsevier, 2025-02)

This study investigates the impact of vision on the maintenance of hand representation in the implicit body model, particularly focusing on congenitally blind individuals. To address this, we performed a hand landmark ...
Quantification of graphic execution: understanding its relevance for individuals with Autism Spectrum Disorder

Verma, Pragya (Indian Institute of Technology Gandhinagar, 2024)
On the nature of linguistic meanings: a theoretical analysis: Cartesian cognitive conceptualization of linguistic meanings and Wittegenstein's non-Cartesian ontology of linguistic meanings

Kulkarni, Pranjali (Indian Institute of Technology Gandhinagar, 2023)
Knowledge structure and social context factors influencing curiosity and learning satisfaction

Singh, Aditya (Indian Institute of Technology Gandhinagar, 2023)
Understanding the differences in the use of graphic tool and planning during graphic execution between individuals with autism and typically developing individuals

Verma, Pragya; Singh, Madhu; Lahiri, Uttama (Frontiers Media, 2024-07)

Individuals with Autism (ASD) often face difficulty in executing graphic tasks. This can be related to how one uses a graphic tool (e.g., pen) and plans ahead the graphic execution. Use of graphic tool can be captured using ...
Limb-related sensory prediction errors and task-related performance errors facilitate human sensorimotor learning through separate mechanisms

Oza, Anushka; Kumar, Adarsh; Sharma, Apoorva; Mutha, Pratik K. (Public Library of Science, 2024-07)

The unpredictable nature of our world can introduce a variety of errors in our actions, including sensory prediction errors (SPEs) and task performance errors (TPEs). SPEs arise when our existing internal models of ...
Mediating effect of digital literacy between attitude towards AI and job insecurity among HR professionals

Akash, N. R.; Dhiksha, J.; Chhotray, Ashika Shrusti; Vaasanthi, R. Sinchana; Philip, Smitha; Babu, N. C. Kiran; Lokesh (Springer, 2024-05)

As businesses continue to incorporate technologies that use AI into a variety of business processes, the connection between employee attitudes towards AI and job insecurity has attracted some attention. However, a critical ...
Tamil-English translanguaging in a primary school for learners' performance and self-esteem

Selvam, Ashla; Kim, Jooyoung (2024-03-22)
Risky mindset: prior exposure to risk increases utilitarian choices in sacrificial moral scenarios

Sahai, Abhishek; Manjaly, Jaison A. (Frontiers Media, 2024-03)

Evidence of cross-domain spillover into the moral domain has been limited to altruistic and consumption behavior. Building upon the literature of spillover effects and domain-general decision processes, we predicted that ...
Crossmodal associations between naturally occurring tactile and sound textures

Bulusu, Vanalata; Lazar, Leslee (SAGE Publications, 2024-02)

This study investigates the crossmodal associations between naturally occurring sound textures and tactile textures. Previous research has demonstrated the association between low-level sensory features of sound and touch, ...
Assessment of kinematic and kinetic attributes of graphic execution of children with autism and typically developing children using a digitized platform

Verma, Pragya; Patel, Niravkumar; Sharma, Prachi; Kanetkar, Manasi; Singh, Madhu; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2024-01)

Intact graphic execution ability is considered as an important gateway to one's academic success. It is often reported that the graphic execution ability of neurotypical children and those having Autism i.e., children with ...
Enhancing motor imagery based brain computer interfaces for stroke rehabilitation

Soni, Saher; Chaudhary, Shivam; Miyapuram, Krishna Prasad (Association for Computing Machinery, 2024-01-04)

Globally, the prevalence of disabilities among stroke survivors exceeds 80%, with upper-limb movement impairments affecting over 85% of individuals. To address this challenge, motor imagery (MI) based brain-computer interface ...
A novel virtual reality paradigm to assess gait response to visuospatial perturbation during walking

Saini, Smriti; Singh, Yogesh; Vashista, Vineet (Association for Computing Machinery (ACM), 2023-07-05)

Response to a dynamically altering environment while ambulating is critical for walking performance. The optimum outcome of the response is to maintain gait stability and balance. In this regard, the human propensity to ...

Now showing items 1-20 of 124

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