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
Tag: julian
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
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
Paper: Disinhibitory neuronal circuits are ideally poised to control the sign of synaptic plasticity
In Julian’s new paper “Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity“ accepted at NeurIPS we look at how to reconcile normative theories of gradient-based learning in the brain with phenomenological models ofContinue reading