Jyotirmay Srivastava
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js-neuro.bsky.social
Jyotirmay Srivastava
@js-neuro.bsky.social
(he/him)
Love all things science and sci-fi.
Neuroscience Researcher.

*Looking for a PhD position*

Views my own. Or maybe others'? Who knows where all they come from?
4/4
This is pure institutional inertia, training biologists for a bygone era. The solution must be radical. Is it an integrated, mandatory curriculum (calculus, stats, lin-alg), or is it time to completely dissolve the archaic PCB/PCM streams? What's the path forward?
July 1, 2025 at 4:20 AM
3/4
My personal journey to rectify this has been a multi-year, out-of-pocket effort to learn the maths I should have been taught at 17. This isn't about "learning to code", it's about lacking the entire framework for quantitative thought. This is an absurd burden to place on students.
July 1, 2025 at 4:20 AM
2/4
The cascade of failure is predictable: no calculus -> no real grasp of physics -> no understanding of MRI/electrophysiology -> a total inability to engage with the mathematical core of computational neuro (e.g., Hodgkin-Huxley) or genomics (e.g., high-dimensional stats).
July 1, 2025 at 4:20 AM
7/7
The science feels within reach. It's now an engineering challenge of integration and replicability. What's the biggest hurdle you see in standardising such a workflow? #neuroskyence #Science #synbio
June 24, 2025 at 4:00 AM
6/7
The ultimate GOAL here is even bigger: creating a platform for designing and validating entirely synthetic genetic circuits for neuronal control, in vitro. Moving from analysis to true #neuroengineering.
June 24, 2025 at 4:00 AM
5/7
By integrating a versatile substrate, precise inputs, and a high-fidelity readout, we can develop a platform that maps the way disease -> synaptic function with unmatched speed+precision. This innovation could revolutionise how we understand neurological diseases. #Innovation #Healthcare
June 24, 2025 at 4:00 AM
4/7
Finally, the READOUT. To observe the effect, we need a clean signal. The high signal-to-noise GEVIs like QuasAr6a from Cohen's lab (shorturl.at/ZDUKj) provide the necessary clarity for robust, long-term voltage imaging.
Video-based pooled screening yields improved far-red genetically encoded voltage indicators - Nature Methods
The Photopick platform, which can be used for phenotype-activated cell selection, was used to develop the improved voltage sensors QuasAr6a and QuasAr6b. These GEVIs offer improved signals and are…
shorturl.at
June 24, 2025 at 4:00 AM
3/7
Next, the INPUT. For manipulation, we need precision. We'd integrate the technique of 2P-glutamate uncaging, borrowing the "optical scalpel" approach from the classic Matsuzaki '04 paper (shorturl.at/9FXOu) that first visualised LTP at a single spine.
Structural basis of long-term potentiation in single dendritic spines - Nature
Nature - Structural basis of long-term potentiation in single dendritic spines
shorturl.at
June 24, 2025 at 4:00 AM
2/7
First, the SUBSTRATE. We need a dynamic system. The perfused neurovascular unit-on-a-chip from Jang's lab (shorturl.at/K60dD) is a huge step forward. The leap is enabling long-term study of organoid-vascular interactions, moving beyond static 3D cultures.
June 24, 2025 at 4:00 AM
It feels like a crucial move towards a more practical, tiered BCI ecosystem. What's your take, #ScienceSky? Is this safety/accessibility vs resolution/bandwidth trade-off the most important conversation in #neuroengineering right now?
June 21, 2025 at 5:56 AM
The trade-off is signal fidelity—you're capturing reliable local field potentials (LFPs) instead of individual neuron spikes. Yet, the COMMAND trial demonstrates its efficacy in practical scenarios, like controlling digital devices. #NeuroTech #Innovation
June 21, 2025 at 5:56 AM
The idea is brilliant: utilise the blood vessels to implant an electrode array, completely bypassing the need for a craniotomy. The true innovation could lie in reaching deep brain areas once deemed too dangerous for direct intervention.
June 21, 2025 at 5:56 AM
4/4
I am really keen to make this a conversation with the #ScienceSky community. What parts of your own research workflow have you found genuinely transformative? Always looking to learn.

#NeuroSky #AcademicSky #ResearchWorkflow #AItools
June 16, 2025 at 7:51 AM
3/4
I have included a few things that have made a real difference for me, like a detailed prompt I designed to make tools like NotebookLM do a proper internal gap analysis of my sources. It has been surprisingly effective.
June 16, 2025 at 7:51 AM
2/4
It is called "From Discovery to Synthesis: A Researcher's Toolkit," and it details the non-linear, modular workflow I am trying to perfect. It's a work in progress!
Read it here:https://shorturl.at/j0u8y
June 16, 2025 at 7:51 AM
7/7 This forces us to ask a profound question: If something can feel pain, but we don't believe it's 'conscious,' is it unethical to treat it as a 'thing'? Where do we draw that line? This is a defining question for the future of this field. What are your thoughts?
June 6, 2025 at 4:21 AM
6/7 This brings us to a deep ethical challenge. With animals, we can often measure pain by proxy. But how do you assess suffering in a system that may not offer any observable signs? We are navigating uncharted territory. #Neuroethics
June 6, 2025 at 4:21 AM
5/7 But it's not all smooth sailing. The major scientific hurdles right now are technical: ensuring results are consistent, replicable, and that we can keep the tissue viable long-term. It's a tough, nitty-gritty science problem to solve
June 6, 2025 at 4:21 AM
4/7 The most immediate impact? Revolutionizing preclinical #research. Imagine testing new drugs for Parkinson's or Alzheimer's directly on living human neural tissue. This means faster, more relevant data and a massive reduction in animal testing. A huge win for #MedTech
June 6, 2025 at 4:21 AM
3/7 And this future is arriving faster than you think. This isn't just theory—companies like Cortical Labs are bringing biocomputers to market. We're witnessing the birth of a new technological domain. #DeepTech #Innovation
June 6, 2025 at 4:21 AM
2/7 What does this mean in practice? It's about the innate ability of biological neurons to process new forms of sensory input and infer meaning without supervision. This level of adaptability is something artificial neural networks are still striving for. #Biocomputing
June 6, 2025 at 4:21 AM