How is sensory information encoded in the activity of biological neural networks-check our take in the final version out today @eLife: Efficient coding in biophysically realistic excitatory-inhibitory spiking networks https://t.co/QGGb8noFwD
Simple models are powerful, but the brain isn’t simple.
Veronika Koren (@VeroKoren) talks for Inside Discovery about bridging mathematical theory and real neural circuits, and why that gap is worth fighting to close.
https://t.co/XbHLWz1dBY
Last week I presented with a talk at the ICANN conference our paper on mathematical analysis of efficient spiking networks, now available https://t.co/x1ywuXJ5rh. #NeuralNetworks#ML#brain#Neuroscience#neuron#math
It was an honor to write this, but also great fun. A chance to look back at the classics, and think about the path forward. #Physics is a beautiful human endeavor.
I am proud to have our paper where I worked as the last author accepted at the notorious ICANN conference. With Matin Urdu, Matías Lorenz and Ching-Peng Huang and with advice by Prof. Panzeri, we prove that firing rates cannot explode in efficient spiking networks.
I am proud to have our paper where I worked as the last author accepted at the notorious ICANN conference. With Matin Urdu, Matías Lorenz and Ching-Peng Huang and with advice by Prof. Panzeri, we prove that firing rates cannot explode in efficient spiking networks.
Excited to start a new lab at Florida State University this summer! @PsychologyFSU@FSUNeuroscience
We’ll study how the brain enables generalization to support decision-making in novel situations.
https://t.co/QM0xDCYcr5
We’re recruiting—please RT or share with anyone interested!
A couple of days ago I presented the eLife paper https://t.co/1jh4KAAS2A at the journal club of the lab Development, Dynamics, Disorders, Data Science (4D) of the University of Cambridge. Many thanks to Kayson Fakhar and his colleagues for their interest for a nice discussion!
It was my pleasure to present papers Koren et al., eLife 2024 and the related theoretical paper Koren & Panzeri, NeurIPS 2022 for the Harbin Institute of Technology (China) earlier this week. Thanks to Prof. Chunzhi Yi for the invitation. I think progress in the right direction.
We are #hiring for a fully funded PhD position at TU Dresden. Message me if you're interested in joining our team. I’m attending COSYNE 2025 if you would like to meet! #cosyne2025#cosyne25
Bag and poster tube packed for @CosyneMeeting 2025. Expecting exciting science and discussions, perhaps also at poster session 1 around poster 129: An Efficient Multilayer Spiking Network as a Model of Ascending Pathways.
The @ClopathLab has a fully funded PhD position open for Oct in Computational Neuroscience at Imperial College London. If you are interested, just send us an informal e-mail!
In @elife: Efficient coding in biophysically realistic excitatory-inhibitory spiking networks https://t.co/8MtFOGq7Rl revision is out 💪. Huge thanks to the editor and the reviewers. Seriously, I never had a first author paper with reviews of such quality and scientific depth
@sciqst@jgvfwstone Dear Raffaele, thanks, but both efficiency and energy are well defined (see equations 3-4). I recommend to look inside the paper. Best regards.
@jgvfwstone Dear James, efficiency is defined by the loss function (equations 3-4) and energy is the metabolic cost on spiking (equation 4). For more details, please see the Methods (pages 36-45 on the biorxiv PDF). Thanks for your interest!