In the mammalian brain information processing and storage rely on the complex coding and
decoding events performed by neuronal networks. These actions are based on the …

Event-based cameras bring a unique capability to tracking, being able to function in
challenging real-world conditions as a direct result of their high temporal resolution and high …

What any sensory neuron knows about the world is one of the cardinal questions in
Neuroscience. Information from the sensory periphery travels across synaptically coupled …

Event cameras detect changes in per-pixel intensity to generate asynchronous' event
streams'. They offer great potential for accurate semantic map retrieval in real-time …

The importance of self-feedback autaptic transmission in modulating spike-time irregularity
is still poorly understood. By using a biophysical model that incorporates autaptic coupling …

Introduction The integration of self-attention mechanisms into Spiking Neural Networks
(SNNs) has garnered considerable interest in the realm of advanced deep learning …

Complexity is an indisputable, well-known, and broadly accepted feature of the brain.
Despite the apparently obvious and widely-spread consensus on the brain complexity …

Synchronization of neuronal discharges on the millisecond scale has long been recognized
as a prevalent and functionally important attribute of neural activity. In this article, I review …

A large variety of neuron models are used in theoretical and computational neuroscience,
and among these, single-compartment models are a popular kind. These models do not …

The dynamic membrane potential threshold, as one of the essential properties of a
biological neuron, is a spontaneous regulation mechanism that maintains neuronal …