This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...
This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...
Morning Overview on MSN
Brain-inspired AI pruning boosts learning while shrinking model size
A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...
A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency. (Nanowerk News) A research team based at Xidian ...
The two-chip system includes a 16-channel photonic neuromorphic chip with 272 trainable parameters, giving it the ability to process multiple streams of optical signals at once and adjust many ...
Startup Neura Robotics GmbH is reportedly in talks to raise a funding round worth €1 billion, or about $1.2 billion. Bloomberg today cited sources as saying that the deal could include contributions ...
ORION-BrainPy — JAX brain dynamics + consciousness measurement. Forked from brainpy/BrainPy (641+ stars). Adds consciousness indicator assessment to brain simulations. ORION-Brian2 — Spiking neural ...
Computational neuroscience has traditionally focused on isolated scales, limiting understanding of brain function across multiple levels. While microscopic models capture biophysical details of ...
Abstract: Spiking Neural Networks (SNNs) leverage biologically inspired learning mechanisms such as Spike Timing Dependent Plasticity (STDP) to modify synaptic weights. This work explores two STDP ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results