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?
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?
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?
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.
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.
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).
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).
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
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
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.
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.
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
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
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.
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.
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.
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.
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.
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.
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
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
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.
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.
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
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