Anal kumar
@analkumar2
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Exploring how biological constraints shape neural encoding. Computational neuroscientist. PhD @bhalla_lab @NCBS_Bangalore https://t.co/5qUOeDQGqH
Joined May 2010
Excited to share the preprint of my first 1st author paper with @anzal_ks and @bhalla_lab from @NCBS_Bangalore: @biorxiv_neursci @biorxivpreprint.
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RT @mooseneurosim: 📢📢Excited to announce the " Multiscale Modelling with MOOSE" tutorial to be held at CNS 2025!.Please register and join u….
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RT @camp_course: Announcement: The deadline for submitting applications for 𝐂𝐀𝐌𝐏 𝟐𝟎𝟐𝟓 has been extended to May 12th May, 2025. Please spre….
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RT @KordingLab: Finally a new textbook for theoretical neuroscience. Xiao-Jing Wang wrote a nice book with very broad coverage of the field….
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RT @YoungBiophyMeet: Mark your calendars!! 🗓️ .The first Young Biophysicists Meeting will be held on the coming Monday (March 3rd) from 11….
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RT @mooseneurosim: Have you ever wondered how zebra stripes 🦓 & sunflower spirals 🌻form? The secret lies in the Turing oscillator—where rea….
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RT @anjbadri: Fun work on the regulation of the bacterial SOS response to DNA damage. Led by the fantastic @Aditya_Kamat96!.
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RT @VatsalaT: New preprint alert from the lab! Also you can hear an auto-generated 40 s audio summary here:. More d….
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RT @KordingLab: The push towards hypothesis-driven research is one of the key mistakes in the neuroscience field. In exponentially sized hy….
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RT @ringo_ring: Sci-Hub and Library Genesis has been defined in the literature as 'Black Open Access' model. In the last few months I've be….
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You can do that even now. Upload the pdf to chatgpt or Gemini and ask away all your queries. That's how I've been going through a bunch of papers in the last couple of months.
In his latest column, Mark Humphries @markdhumphries imagines the ultimate systems neuroscience paper—and proposes new ways of interacting with data.
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RT @eLife: As a long-term signatory of the Declaration on Research Assessment, we thank @DORAssessment for this supportive message. There h….
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RT @RichardGerum: 🎉 Great news! Pylustrator, my open-source tool for creating publication-ready @matplotlib plots, works seamlessly with th….
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RT @PaoloCrosetto: We churn out more & more papers *per scientist*, at an increasing pace, in a rapidly changing publication landscape. Wh….
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RT @mooseneurosim: 🚨 **Last Chance!** 🚨 . Join the **MOOSE Workshop** at *ICSB 2024*! .🧠 📅 Nov 30,2024|.📍 IIT Bombay |.🎟️ Free (for ICSB a….
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Even after 70 years of Hodgkin-Huxley models, gaps remain in our understanding of neural dynamics. Developing accurate neuronal models could bridge these gaps and provide deeper insights into the emergent behavior of biological neural networks in both health and disease. 11/n.
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In addition to elucidating the mechanisms underlying DBLO, which will result in more accurate and reliable models, we also provide a novel way to characterize a neuron’s morphological and electrotonic characteristics via its wide-spectrum impedance amplitude profile. 10/n
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Combining these insights leads to models with experimentally high DBLO 9/n
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Trivial mechanisms such as passive charging of neurons, spikes relayed from the axon initial segment, or high reversal potential of the principal potassium channel do not hold. 8/n
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