We are deeply honored to see our work featured in The Transmitter’s “This Paper Changed My Life.” Huge thanks to Dan Goodman for the kind words – and to our amazing community that keeps pushingContinue reading
Breaking Balance: Encoding local error signals in perturbations of excitation-inhibition balance
Why does the brain maintain such precise excitatory-inhibitory balance? Our new preprint led by Julian Rossbroich explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signalsContinue reading
Congratulations Tengjun
We are happy that Tengjun, another lab alumnus graduated with flying colors at this home university in China. Tengjun was a visiting student from Zhejiang University in our group from 2023 to 2024. He workedContinue reading
Congratulations Manu
We are thrilled to celebrate the successful PhD defense and graduation of Dr Manu Srinath Halvagal, whose groundbreaking thesis bridges the fields of neuroscience and machine learning. His dissertation, titled “Predictive Self-Supervised Learning in BrainsContinue reading
SNN Workshop in Munich
Gitta Kutyniok, the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence and her team at the LMU organized an inspiring workshop on spiking neural networks with a fantastic lineup of speakers including Wolfgang Maass,Continue reading
Congratulations Julian
Congratulations to Julian on a Successful PhD Defense! We are thrilled to congratulate Julian Rossbroich on the successful defense of his PhD thesis, “Functional Implications of Excitation–Inhibition Balance for Learning in Neural Circuits.” In hisContinue reading
Paper: Geometry and dynamics of representations in a precisely balanced memory network
Claire’s article “Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex” was published. We built a spiking network model of the telencephalic area Dp in adult zebrafish, which isContinue reading
SNUFA 2024
We are excited about another year of SNUFA our friendly focus meeting on spiking neural networks that solve real-world problems. Check out our work on SNNs in biologically plausible olfactory memory networks, decoding BMI data,Continue reading
Tengjun, Julia, and Julian score first prize at the BiOCAS neural decoding challenge
We are proud of our team’s achievement of winning the first prize at the BiOCAS grand neural decoding challenge for their work of decoding cortical spike trains with artificial spiking neural networks. Congratulations! Liu, T.,Continue reading
Tengjun, Julia, and Julian win the Ruth Chiquet prize
Congratulations to Tengjun, Julia, and Julian for being awarded the Ruth Chiquet Prize! The award recognizes their work on using spiking neural networks to decode brain signals. “The committee was impressed by the elegance ofContinue reading