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All science enthusiasts are like wanderers in a field who try to unravel the secrets of nature. Human curiosity is inbuilt and we all have innate desire to discover the world around us and be informed! Physics is the fundamental science branching into narrow pathways leading scientific discovery of the unimaginable, the unexpected, the exciting and electrifying.
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A machine is something which performs automated tasks , making a machine perform is like making a baby learn how to do something ; be it walking, dancing etc. Humans have always wanted to reduce their own efforts and augment the powers of the machine in order to make things faster, efficient and reduce their redundancy. It is information which passes on from something which is able to think to something which may or may not be able to itself perform a particular task or conjecture upon and analyse it. Giving machines the information is all that we’ve been doing; be it through electrical impulses,mechanical impulses or other methods.
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So what is Neurogenesis? Neurogenesis is the process by which neurones are generated from neural stem cells and progenitor cells. The generation of neuronal cells in the hippocampus is responsible for memory as well as emotions. Every day our brain is generating new cells (about 700 on an average) which encode our memories and the emotions follow with what we associate that particular memory with.
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As an undergrad, it was the first time I got a chance to attend a conference. It was the Bernstein Computational Neuroscience Conference and the International Conference on Computational Neuroscience which was held from 11–12 October 2017 at Humboldt Universität zu Berlin( Humboldt University of Berlin). It was an enriching experience for a novice like me to get acquainted with ideas of the top researchers in the field. Almost like a dream come true for me.
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Published in Cognitive Science Society, 2023
Humans can successfully interpret images even when significant image transformations have distorted them. Such images aid in differentiating existing computational models for perception because models that predict similar results for typical stimuli may diverge when confronted with atypical stimuli. We propose an explanation of people’s ability to perceive a specific class of degraded stimuli that require extreme generalization capabilities: Mooney, or two-tone images of faces. We provide a parametric and controllable method to generate Mooney faces and hypothesize that the human visual system generalizes under extreme cases because it reverses the naturalistic image generation process. We show that Mooney faces are approximated under extreme illumination conditions; a computer graphics perspective of the Mooney formation process suggests inverse graphics as a model for perceptual generalization. With a number of demonstrations, we argue that Mooney faces are important to understanding the role of generative models and inverse graphics in human visual processing.
Published in Cognitive Science Society, 2023
A hallmark of human vision is the ability to rapidly recognize objects in a complex naturalistic scene. However, the exact mechanisms behind the computational invariance of object recognition remain unknown. In this study, we investigate object constancy by estimating how the ventral visual stream processes shading, shadows, textures, and specularities. To accomplish this, we use object meshes from the Objaverse dataset to create distinct multiclass classification tasks. For every task, we render a dataset by excluding exactly one of the previously stated features at a time. Subsequently, we train a ResNet50 model on each dataset. The trained model is evaluated on Brain-Score; deviations in these metrics indicate the importance of a brain region in achieving invariance to a specific feature. A reduced score for a removed feature in a particular region implies its crucial role in processing that feature since the model classifies objects based on remaining scene intrinsics.
Published in Developmental Science Journal, 2023
Mental rotation, the cognitive process of moving an object in mind to predict how it looks in a new orientation, is coupled to intelligence, learning, and educational achievement. On average, adolescent and adult males solve mental rotation tasks slightly better (i.e., faster and/or more accurate) than females. When such behavioral differences emerge during development, however, remains poorly understood. Here we analyzed effect sizes derived from 62 experiments conducted in 1705 infants aged 3–16 months. We found that male infants recognized rotated objects slightly more reliably than female infants. This difference survives correction for small degrees of publication bias. These findings indicate that gender differences in mental rotation are small and not robustly detectable in the first months of postnatal life
Published in Computational Life Sciences - Data Engineering and Data Mining for Life Sciences, 2023
This chapter describes the process of building an Image Database with searchable metadata. Searching for an image greatly benefits from having useful metadata to accompany it. The proposed solution allows the user to save the picture together with its online location (url) and suitable metadata. The application then saves both the picture and its metadata in a SQLite database. This database can be queried and is accessible via a RESTful API service.
Published in Journal of Biological Psychiatry, 2023
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual’s risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Graduate Course, Bonn Aachen International Center for Information Technology, 2020
Summer Semester 2020
Graduate Course, Friedrich-Alexander-Universität Erlangen-Nüremberg, 2024
Winter Semester 2024
Graduate intern, Max Planck Institute of Human Cognitive and Brain Sciences, Leipzig, Germany, 20220
I supervised Elizaveta Ivanova, M.Sc., HSE University for a period of two months to work on application development for questionnares in Cognitive Neuroscience.