RP: Scientific Research (and Pre-Publication works) 

Scientific Research (and Pre-Publication works)

{in progress... - nothing yet submitted for official publication}

(incl. Written Works, potential Articles/Preprints, etc...)

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Scientific Research & Associated Publications by Muzart H, et al:

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TBC

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Working Progress ..... (2020 onwards)

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Status: No submissions yet, hence no preprints or official publications (in peer-reviewed journals) yet.​

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Some of the info on this webpages is outdated.

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Further updates will be posted here some time in 2024.

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See below for ideas (2017-2020), more recent works (2019-2022), and preliminary works (2015-2019); many of these are drafts.

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See:

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https://www.CognTech.net/Supplementary-technical-information/research

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https://sites.google.com/view/ccnbs-res-pub-pres

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https://www.harry-muzart.info/publications-funded-projects-awards

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also see:

https://sites.google.com/view/hm-kcl-work/pp

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Ideas

(during 2017-2020: researching and exploring how to set-up the main conceptual tools for those; for future full implementation in 2021+)

As based on content from other pages in this website, here are some ideas for research to do and write up and submit for publication, in the near/far future:

(some parts I have worked on more than others)

(restrictions on this work include limited time, resources, and financial budget/investment restrictions)

Simulating Biological Neural Networks
--- Experiments implementing architectures and algorithms (developed by researchers in computational neuroscience / biological neural networks (e.g. at MIT, Stanford, UCSD, UCL, Imperial, KCL, etc)) and using those myself within SimBrain, Emergent PDP++, Neuroph, Blue Brain Project platforms and Human Brain Project platforms.

--- Perhaps then 'damage' these to simulate disorders in neuropsychiatric modules.
 

Neuroimaging Analyses
--- Use of novel data from openfMRI for novel data analyses (e.g. in SPM/other).

--- Open-source EEG/ERP data with open-source analysis software (e.g. Brainstorm).
 

Connectomics Data Mining
--- Data mining in genomics and neuroimaging and connectomics data open-sourced by Allen Science Institute etc.

--- DCNN pipelines for visual recognition of visual scene, in Matlab (dnn, rl) or using Cloud ML.

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Mental Health or Learning App
--- A review of building an AI-based smartphone app for psychiatry / mental health (or learning educational development) - the actual process of building it; (e.g. in Android Studio or any other)

--- But also a review of the results after rolling out a beta/final version and getting feedback from users (with questionnaires with quantified answers, polls) and also collecting user analytics (button presses, metrics, etc) on how the app is used.
 

Computational Psychiatry (using humans on the internet, and A.I.)
--- Collect large amount of online data from hundreds or thousands of human participants around the world, remotely, from their home computer (e.g. using my own website, or others up-scale with likes of gorilla.sc).

--- This would involve using my own-made literature-backed questionnaires, screen-based 2D game-like interactions (e.g. using PsychoPy), and 3D Game engines, and 3D 360-deg VR.

--- This could look at things like learning & memory, psychosis-like/paranoia spectrum traits, vision and navigation and decision-making, etc, for computational psychophysics/psychiatry.

--- And then coding an A.I. in matlab/python/javascript/other to approximately model the human data.
--- Could combine with other pre-built AI testbed benchmark systems. See open-source libraries that can be compiled, and repositories such as by DeepMind (PsychLab, UnityDQN, Navig, ...) Google, OpenAI, etc. (installs and browser-based).

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Brain-Computer Interfaces (non-invasive) & Biometrics
--- I could use of a non-invasive commercially available BCI (which use electroencephalographic signals) (e.g. Emotiv EPOC+ headset) on myself, and seeing how this compares to other similar devices, and which one is the best at moving a virtual object.

--- Implementations in 'hard' or 'flexible soft' neuro-robotics.

--- This can also be combined with an ocular-eye-gaze-tracking device (commercially available and relatively affordable, IR-based and others).

--- I could also use other biometric/physiological data from mobile wearable devices.

--- Mobile wireless portable BCIs can also be used with augmented reality glasses.

--- Neuro-feedback explorations.

--- Use oral/intranasal oxytocin/dopamine/serotonin/other, vs not (control).

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Biotech Kits
--- Using DIY biochemtech bionanotech sequencing kits on oneself, genomic and proteomic sequencing, from biosample.

--- Here a greater sample size would be needed with other people I know, and proper (local jurisprudence) ethics would need to be complied with.

--- Use of cheap circuit boards.

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Other Documents:




 

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