Results 31 to 40 of about 75,067 (283)
npj 2D Materials and Applications, 2023 Accurate, timely and selective detection of moving obstacles is crucial for reliable collision avoidance in autonomous robots. The area- and energy-inefficiency of CMOS-based spiking neurons for obstacle detection can be addressed through the ...
Kartikey Thakar +2 more
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Natural gradient learning for spiking neurons [PDF]
Proceedings of the Neuro-inspired Computational Elements Workshop, 2020 In many normative theories of synaptic plasticity, weight updates implicitly depend on the chosen parametrization of the weights. This problem relates, for example, to neuronal morphology: synapses which are functionally equivalent in terms of their impact on somatic firing can differ substantially in spine size due to their different positions along ...
Kreutzer, Elena +2 more
openaire +5 more sources
Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]
, 2015 A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
core +3 more sources
PLoS Biology, 2021 The receptive field of a neuron describes the regions of a stimulus space where the neuron is consistently active. Sparse spiking outside of the receptive field is often considered to be noise, rather than a reflection of information processing.
Jai Y Yu, Loren M Frank
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Cortical Neurons Adjust the Action Potential Onset Features as a Function of Stimulus Type
Applied Sciences, 2023 Pyramidal neurons and interneurons play critical roles in regulating the neuronal activities in the mammalian cortex, where they exhibit different firing patterns.
Ahmed A. Aldohbeyb, Ahmad O. Alokaily
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Spike sorting of synchronous spikes from local neuron ensembles [PDF]
Journal of Neurophysiology, 2015 Synchronous spike discharge of cortical neurons is thought to be a fingerprint of neuronal cooperativity. Because neighboring neurons are more densely connected to one another than neurons that are located further apart, near-synchronous spike discharge can be expected to be prevalent and it might provide an important basis for cortical computations ...
Felix Franke +6 more
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Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model
Frontiers in Computational Neuroscience, 2021 Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep.
Chaoming Wang +5 more
doaj +1 more source
Volatile Memory Motifs: Minimal Spiking Neural Networks
IEEE Access, 2023 How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering.
Fabio Schittler Neves, Marc Timme
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Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
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Comparing Offline Decoding Performance in Physiologically Defined Neuronal Classes [PDF]
, 2016 Objective: Recently, several studies have documented the presence of a bimodal distribution of spike waveform widths in primary motor cortex. Although narrow and wide spiking neurons, corresponding to the two modes of the distribution, exhibit different ...
Best, Matthew D. +5 more
core +2 more sources