Abdelrahman Sharafeldin

ORCID: 0009-0000-2706-0300
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About
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Research Areas
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Single-cell and spatial transcriptomics
  • Neural and Behavioral Psychology Studies
  • Neuroscience and Neuropharmacology Research
  • Cell Image Analysis Techniques
  • Memory and Neural Mechanisms
  • CCD and CMOS Imaging Sensors
  • EEG and Brain-Computer Interfaces
  • Visual perception and processing mechanisms

Georgia Institute of Technology
2023-2024

Yale University
2021-2024

University of Rochester
2020

Summary Different theories explain how subjective experience arises from brain activity 1,2 . These have independently accrued evidence, yet, confirmation bias and dependence on design choices hamper progress in the field 3 Here, we present an open science adversarial collaboration which directly juxtaposes Integrated Information Theory (IIT) 4,5 Global Neuronal Workspace (GNWT) 6–10 , employing a theory-neutral consortium approach 11,12 We investigate neural correlates of content duration...

10.1101/2023.06.23.546249 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-06-26

Abstract Different theories explain how subjective experience arises from brain activity1,2. These have independently accrued evidence, yet, confirmation bias and dependence on design choices hamper progress in the field3. Here, we present an open science adversarial collaboration which directly juxtaposes Integrated Information Theory (IIT)4,5 Global Neuronal Workspace (GNWT)6-10, employing a theory-neutral consortium approach11,12. We investigate neural correlates of content duration...

10.21203/rs.3.rs-3101836/v1 preprint EN cc-by Research Square (Research Square) 2023-06-28

We present an end-to-end architecture for embodied exploration inspired by two biological computations: predictive coding and uncertainty minimization. The can be applied to any setting in a task-independent intrinsically driven manner. first demonstrate our approach maze navigation task show that it discover the underlying transition distributions spatial features of environment. Second, we apply model more complex active vision task, whereby agent actively samples its visual environment...

10.1016/j.patter.2024.100983 article EN cc-by-nc-nd Patterns 2024-05-03

Abstract Patients with focal temporal lobe seizures often experience loss of consciousness. In humans, this consciousness has been shown to be positively correlated EEG neocortical slow waves, similar those seen in non-REM sleep. Previous work rat models suggests that decreased activity subcortical arousal systems cause depressed cortical function during seizures. However, these studies were performed under light anesthesia, making it impossible correlate behavior, and therefore...

10.1101/2021.05.05.442811 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-05-06

Abstract The effects of visual spatial attention on neuronal firing rates have been well characterized for neurons throughout the processing hierarchy. Interestingly, mechanisms by which generates more or fewer spikes in response to a stimulus remain unknown. One possibility is that boosts likelihood synaptic inputs neuron result spikes. We performed novel analysis measure local field potentials (LFPs) just prior spikes, reverse spike-triggered LFP “wavelets,” recorded primary cortex (V1)...

10.1093/texcom/tgaa014 article EN cc-by Cerebral Cortex Communications 2020-01-01

We present an end-to-end procedure for embodied exploration inspired by two biological computations: predictive coding and uncertainty minimization. The can be applied to settings in a task-independent intrinsically driven manner. first demonstrate our approach maze navigation task show that it discover the underlying transition distributions spatial features of environment. Second, we apply model more complex active vision task, where agent actively samples its visual environment gather...

10.48550/arxiv.2307.00668 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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