Results 51 to 60 of about 76,325 (312)
Encountering Spiking Neural Networks
AbstractOver the past two decades, the term “intelligent media” has surfaced to describe media that take on problematics of cognition, communication, and sensory perception loosely modeled after human intelligence. Taking the form of hardware‐software assemblages, these novel media demonstrate forms of autonomy that challenge human control and herald a
Alexandre Saunier, David Howes
openaire +1 more source
Spiking Neural Network Pressure Sensor
Abstract Von Neumann architecture requires information to be encoded as numerical values. For that reason, artificial neural networks running on computers require the data coming from sensors to be discretized. Other network architectures that more closely mimic biological neural networks (e.g., spiking neural networks) can be simulated ...
Markiewicz, Michał +2 more
openaire +3 more sources
Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction [PDF]
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented.
Domínguez Morales, Juan Pedro +5 more
core
A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue +6 more
wiley +1 more source
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach [PDF]
Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations of current automatic speech recognition systems, like non-real time cloud-based solutions or power demand, recent interest for
Davidson, Simón +6 more
core
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
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
Elucidating principles that underlie computation in neural networks is currently a major research topic of interest in neuroscience. Transfer Entropy (TE) is increasingly used as a tool to bridge the gap between network structure, function, and behavior ...
de Ruyter F. +3 more
core +1 more source
Spiking Neural Networks Trained via Proxy
We propose a new learning algorithm to train spiking neural networks (SNN) using conventional artificial neural networks (ANN) as proxy. We couple two SNN and ANN networks, respectively, made of integrate-and-fire (IF) and ReLU neurons with the same network architectures and shared synaptic weights.
Kheradpisheh, Saeed Reza +2 more
openaire +5 more sources
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun +95 more
wiley +1 more source

