Rajnish Ranjan

ORCID: 0000-0002-2875-4651
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About
Contact & Profiles
Research Areas
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Video Analysis and Summarization
  • Photoreceptor and optogenetics research
  • Image Retrieval and Classification Techniques
  • Multimedia Communication and Technology
  • EEG and Brain-Computer Interfaces
  • Advanced Image and Video Retrieval Techniques
  • Bayesian Methods and Mixture Models
  • Data Mining Algorithms and Applications
  • Neural Networks and Applications
  • Music and Audio Processing
  • Functional Brain Connectivity Studies
  • ICT Impact and Policies
  • Data Management and Algorithms
  • Face recognition and analysis
  • COVID-19 diagnosis using AI
  • Complex Network Analysis Techniques
  • Video Surveillance and Tracking Methods
  • Cell Image Analysis Techniques
  • Advanced Memory and Neural Computing

École Polytechnique Fédérale de Lausanne
2007-2025

Indian Institute of Information Technology Allahabad
2016

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization,...

10.7554/elife.99693.1 preprint EN 2024-11-08

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization,...

10.7554/elife.99693.2 preprint EN 2025-02-07

The continuous generation of digital multimedia has raised the question about management time and data. For effective such a tremendous amount data or longer videos, number researches have been made. Video summarization is one important research area to solve problem. To summarise video any domain, relied on visual features available in frames, which does not guarantee achieve semantic meaning original video. In this paper, we proposed an approach for getting summary Generated summaries are...

10.1016/j.procs.2016.06.075 article EN Procedia Computer Science 2016-01-01

The neocortex is one of the most evolved and complex region brain. For more than a century scientists have been curious about neocortex, to identify anatomical blueprint its cellular organization understand role in higher brain functions. Blue Brain Project aims study rat by developing basic unit, cortical column, simulation-based, data driven research environment. This requires 10,000 biologically accurate neuron models combination full spectrum genetically determined ion channels, capture...

10.5075/epfl-thesis-5129 article EN 2011-01-01

An adaptive Exponential Integrate-and-Fire (aEIF) model [1] was used to predict activity of cortical neurons. This is a leaky which has in the voltage equation an additional exponential term [2] describing early activation voltage-gated channels combined with second variable introduced allow for subthreshold and spike frequency adaptation [3]. Previously, we aEIF membrane potential pyramidal neurons under random current injection [4]. Moreover, similarly Izhikevich [3], know that can...

10.1186/1471-2202-8-s2-p121 article EN cc-by BMC Neuroscience 2007-07-01
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