A Heterogeneously Integrated Spiking Neuron Array for Multimode-Fused Perception and Object Classification.
Sign Up to like & getrecommendations! Published in 2022 at "Advanced materials"
DOI: 10.1002/adma.202200481
Abstract: Multimode-fused sensing in the somatosensory system helps people obtain comprehensive object properties and make accurate judgments. However, building such multisensory systems with conventional metal-oxide-semiconductor technology presents serious device integration and circuit complexity challenges. Here, we… read more here.
Keywords: array; spiking neuron; heterogeneously integrated; multimode fused ... See more keywords
A Photoelectric Spiking Neuron for Visual Depth Perception
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202201895
Abstract: The biological visual system encodes optical information into spikes and processes them by the neural network, which enables the perception with high throughput of visual processing with ultralow energy budget. This has inspired a wide… read more here.
Keywords: depth perception; neuron visual; photoelectric spiking; perception ... See more keywords
Numerical Cognition Based on Precise Counting with a Single Spiking Neuron
Sign Up to like & getrecommendations! Published in 2020 at "iScience"
DOI: 10.1016/j.isci.2020.100852
Abstract: Summary Insects are able to solve basic numerical cognition tasks. We show that estimation of numerosity can be realized and learned by a single spiking neuron with an appropriate synaptic plasticity rule. This model can… read more here.
Keywords: numerical cognition; based precise; spiking neuron; single spiking ... See more keywords
Programming Molecular Systems To Emulate a Learning Spiking Neuron
Sign Up to like & getrecommendations! Published in 2022 at "ACS Synthetic Biology"
DOI: 10.1021/acssynbio.1c00625
Abstract: Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli to enable learning. An interesting feature of Hebbian learning is that it is an unsupervised method and, as such, does not… read more here.
Keywords: emulate learning; molecular systems; programming molecular; learning spiking ... See more keywords
Memristor-based multi-synaptic spiking neuron circuit for spiking neural network
Sign Up to like & getrecommendations! Published in 2022 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ac380b
Abstract: Spiking neural networks (SNNs) are widely used in many fields because they work closer to biological neurons. However, due to its computational complexity, many SNNs implementations are limited to computer programs. First, this paper proposes… read more here.
Keywords: spiking neuron; multi synaptic; neuron circuit; circuit ... See more keywords
Fast-spiking Interneurons Contribute to Propofol-induced Facilitation of Firing Synchrony in Pyramidal Neurons of the Rat Insular Cortex.
Sign Up to like & getrecommendations! Published in 2020 at "Anesthesiology"
DOI: 10.1097/aln.0000000000003653
Abstract: BACKGROUND The general anesthetic propofol induces frontal alpha rhythm in the cerebral cortex at a dose sufficient to induce loss of consciousness. The authors hypothesized that propofol-induced facilitation of unitary inhibitory postsynaptic currents would result… read more here.
Keywords: spiking neuron; firing synchrony; propofol induced; pyramidal neurons ... See more keywords
A New SCTN Digital Low Power Spiking Neuron
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3065827
Abstract: This brief presents an innovative reconfigurable parametric model of a digital Spiking Neuron (SN). The proposed neuron model is based on the classical Leaky Integrate and Fire (LIF) model with some modifications, allowing neuron configuration… read more here.
Keywords: spiking neuron; sctn digital; new sctn; power ... See more keywords
A Scalable Neuromorphic Architecture to Efficiently Compute Spatial Image Filtering of High Image Resolution and Size
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2019.9082245
Abstract: In this work, we propose a spiking P neuron whichis capable of performing spatial filtering operations by using new variants of the spiking neural P systems, such as synaptic weights and rules on the synapses.… read more here.
Keywords: image resolution; spiking neuron; high image; architecture ... See more keywords
Relation Between Firing Statistics of Spiking Neuron with Delayed Fast Inhibitory Feedback and Without Feedback
Sign Up to like & getrecommendations! Published in 2018 at "Fluctuation and Noise Letters"
DOI: 10.1142/s0219477518500050
Abstract: We consider a class of spiking neuronal models, defined by a set of conditions typical for basic threshold-type models, such as the leaky integrate-and-fire or the binding neuron model and also for some artificial neurons.… read more here.
Keywords: relation firing; firing statistics; feedback; statistics spiking ... See more keywords
Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Cellular Neuroscience"
DOI: 10.3389/fncel.2021.631485
Abstract: We propose a novel biologically plausible computational model of working memory (WM) implemented by a spiking neuron network (SNN) interacting with a network of astrocytes. The SNN is modeled by synaptically coupled Izhikevich neurons with… read more here.
Keywords: information; network; neuron network; working memory ... See more keywords
A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2021.656401
Abstract: Recurrent circuitry components are distributed widely within the brain, including both excitatory and inhibitory synaptic connections. Recurrent neuronal networks have potential stability problems, perhaps a predisposition to epilepsy. More generally, instability risks making internal representations… read more here.
Keywords: recurrent networks; non spiking; dynamic leak; neuron model ... See more keywords