Efficient spiking neural network design via neural architecture search
Spiking neural networks (SNNs) are brain-inspired models that utilize discrete and sparse spikes to transmit information, thus having the property of energy efficiency.
Jiaqi Yan +6 more
semanticscholar +1 more source
Speed-up coherent Ising machine with a spiking neural network.
Coherent Ising machine (CIM) is a hardware solver that simulates the Ising model and finds optimal solutions to combinatorial optimization problems. However, for practical tasks, the computational process may be trapped in local minima, which is a key ...
Bo Lu +4 more
semanticscholar +1 more source
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor [PDF]
Spiking Neural Networks (SNNs), the third generation NNs, have come under the spotlight for machine learning based applications due to their biological plausibility and reduced complexity compared to traditional artificial Deep Neural Networks (DNNs ...
Riccardo Massa +3 more
semanticscholar +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Hepatic encephalopathy detection using deep learning based optimized spiking neural network
Hepatic encephalopathy is caused by liver insufficiency or poor portal-systemic blood flow. In this work, a novel optimized spiking neural network (OSNN) is used to classify normal and HE cases by using CT images.
R.K. Shanmugha Priya, Dr K. Suthendran
doaj +1 more source
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons [PDF]
Chicca E, Indiveri G, Douglas RJ. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS).Cooperative competitive networks are ...
Schölkopf, B. +5 more
core
Real-time inference in a VLSI spiking neural network [PDF]
The ongoing motor output of the brain depends on its remarkable ability to rapidly transform and fuse a variety of sensory streams in real-time.
Matthew Cook +16 more
core +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Neural Information Processing: between synchrony and chaos [PDF]
The brain is characterized by performing many different processing tasks ranging from elaborate processes such as pattern recognition, memory or decision-making to more simple functionalities such as linear filtering in image processing.
Vincent Canals +2 more
core +1 more source
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source

