BERNSTEIN CONFERENCE

Feedforward spiking neural networks are not transformers (yet): a learning-theoretic framework for long-range dependencies and biological efficiency, Fishell, William Peter, Fishell, Gord, Honnuraiah, Suraj

Pengfei Sun et al. develop a spiking neural network with a dual memory pathway, co-designed with a custom neuromorphic chip. The approach delivers over 4× throughput and 5x energy efficiency gains whi...

No two neurons are the same, yet models often treat neural populations as pools of identical and interchangeable elements. Here, Dahmen et al. highlight recent theoretical advances that reveal the impact of neural heterogeneity on brain dynamics and function.

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Plasticity at inhibitory synapses maintains balanced excitatory and inhibitory synaptic inputs at cortical neurons.

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In this NeuroView, Giacomo Indiveri discusses the origins and evolution of neuromorphic engineering, reflects on recent shifts toward digital and AI-centric approaches, and advocates for a revival of the field’s original principles, emphasizing analog, brain-inspired systems and the importance of fundamental neuroscience for future progress.

In this NeuroView, Giacomo Indiveri discusses the origins and evolution of neuromorphic engineering, reflects on recent shifts toward digital and AI-centric approaches, and advocates for a revival of ...

YouTube video by Gerstner Lab

Achieving the same robustness of biological networks in neuromorphic systems remains a challenge due to the variability in their analogue components. Here, the authors apply a biologically-plausible c...

Nature Communications - Achieving the same robustness of biological networks in neuromorphic systems remains a challenge due to the variability in their analogue components. Here, the authors apply...

Author summary We constantly detect sensory inputs, like sights and sounds, and use combinations of these signals to guide our actions. For example, by reading someone’s lips we can better converse wi...

Computation in recurrent networks of neurons has been hypothesized to occur at the level of low-dimensional latent dynamics, both in artificial systems and in the brain. This hypothesis seems at odds ...

Scientific Reports - A neuromorphic electronic artist for robotic painting