Currently Under Progress...
Please have a look at these other ones below for now:
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credit to lifesciencedb(jp), creativecommons wikimedia, click for link
The above is a 3D rendition of the human brain,
showing clearly various major sub-structures.
Screenshot images below all taken by HM (owner of this site) and adapted/commented on.
Virtual Labs
http://www.hhmi.org/biointeractive/explore-virtual-labs
(by the Howard Hughes Medical Institute)
Arrows clockwise: Current V-Labs; Resource Types; Collections; Description.
Review: Excellent resources to learn techniques in experimental bio-sciences and molecular biology. Strongly recommended for first year undergrads.
Excellent interactive ANN simulator
(http://playground.tensorflow.org/)
(by: Tensorflow, GitHub, Alphabet/Google)
Build up your own ANN; make it learn information (train it); then test it.
(Example)
At T = 0
After 100 iterations:
Review: Introduction to artificial neural networks and how they learn and compute information. Real-time analysis of data. It can be modified with open-source code on GitHub. Great for Computational Neuroscience and Machine Learning.
For waves and wave interference:
(Java needed)
https://phet.colorado.edu/en/simulation/wave-interference
(University of Colorado, Boulder)
Review: Check out the original website. It's excellent.
http://www.cabrillo.edu/~jmccullough/Applets/Applets_by_Topic/Superposition_Interference.html
(Cabrillo College, California)
Review: The 2 sites above are very helpful for the topics below:
Waves Simulators are for (some examples):
--- Mathematics: A review of frequency, wavelength, periods, graphical trigonometry.
--- Physics: Sound, Light, Water. Interference patterns in classical and quantum mechanics.
--- Geology: Seismic waves.
--- Visual Neuroscience: Fourier transformations, patterns of light densities on the retina.
--- Hippocampal grid cells and place cells - Neural navigation coding, using oscillatory activity
--- Computing design: point-based 3D rotation of objects
--- BioEthology - prey/predator models
--- Statistical Economics - stock fluctuations