Interesting Computational Neuroscience Papers I’ve Come Across Recently
Being in IISc, I've attended a lot of talks and "group" discussion sessions. Really interesting papers are discussed in these sessions and I usually open up the PDF, skim over the Abstract and then once the meeting is over, I completely forget about them.
I don't want to forget these papers and the ideas that were discussed in those talks. Hence, I'm quickly writing down this post. It's not meant to benefit the reader, but rather, it's meant to serve as an extension of my brain and my memory.
"EEG-based brain-computer interface enables real-time robotic hand control at individual finger level" (https://www.nature.com/articles/s41467-025-61064-x)
- Super interesting work. They were able to reach remarkable accuracies to decode which finger a participant wanted to move just by decoding Scalp-EEG signals.
"Designing salient, naturalistic “super-stimuli” with deep generative models" (https://2024.ccneuro.org/pdf/220_Paper_authored_CCN_2024-7_final.pdf)
- How can we activate the visual cortex with _super simuli)
"Personalized visual encoding model construction with small data" (https://arxiv.org/pdf/2202.02245)
"Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences" ()
"NeuroGen: Activation optimized image synthesis for discovery neuroscience" (https://www.sciencedirect.com/science/article/pii/S0092867419303915)