ICNCE 2026

Deep neural networks (DNNs) outperform cortical network models in behavioural performance. DNNs also outperform cortical neuron models in terms of their statistical response properties. Yet, the alignment of DNNs with cortical circuits, cortical structures, and synaptic plasticity is rather limited. I present a functional bottom-up model of cortical pyramidal neurons and cortical circuits that...

Biological synapses do more than change their strength: they also regulate how changeable they should remain. This “plasticity of plasticity,” or metaplasticity, is thought to help neural systems balance memory retention with flexibility. While the underlying biological mechanisms remain only partly understood, this idea offers a powerful inspiration for neuromorphic AI: a useful learning...

abstract: Neuromorphic devices are transforming healthcare by enabling innovative, low-
power, and efficient solutions for biomedical applications. Inspired by the neural architecture and
computational principles of the human brain, these systems are particularly suited for wearable and
implantable technologies capable of real-time, closed-loop interaction with biological tissue...