Let me introduce myself! My name is Ilenna Jones, I am a computational neuroscientist with keen interest on how dendrites contribute to a singular neuron's ability to compute functions and learn tasks. I build biophysical models of neurons in #pytorch and use #deeplearning principles to investigate how #neuron models can learn and compute given their biologically realistic constraints.
I'm looking for postdocs right now! Feel free to connect if you're looking for someone like me!
I'm very interested in helping other students find resources and guidance as they consider science and #neuroscience in general. Feel free to connect if you're looking for advice/perspectives!
#computationalneuroscience #theoreticalneuroscience #neuroscience #neuralcomputation #learning #modeling #BlackInNeuro #FirstGen #Questbridge
ilenna.com
@ilennaj And you are the author of this most spectacular arXiv paper: "Can single neurons solve MNIST? the computational power of biological dendritic trees" Jones & Kording 2020 https://arxiv.org/abs/2009.01269 Hats off to you & @kordinglab ! And welcome.
#neuroscience #dendrites #MNIST
PS: subsequently published as "Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?" Jones & Kording 2021 https://direct.mit.edu/neco/article/33/6/1554/100576/Might-a-Single-Neuron-Solve-Interesting-Machine
@albertcardona @ilennaj @kordinglab
Thanks for highlighting it Albert!
Question for Ilena & Konrad:
I just became aware of the research by Poirazi Lab's in Crete, which you cite, thus also goes into bio & ml models for dendrites.
Then any primer to get into how your respective research differ, compares, etc?