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Stakes of neuromorphic foveation: a promising future for embedded event cameras
Foveation can be defined as the organic action of directing the gaze towards a visual region of interest to acquire relevant information selectively....
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A low-power stretchable neuromorphic nerve with proprioceptive feedback
By relaying neural signals from the motor cortex to muscles, devices for neurorehabilitation can enhance the movement of limbs in which nerves have...
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Neuromorphic Model of Reflex for Realtime Human-Like Compliant Control of Prosthetic Hand
Current control of prosthetic hands is ineffective when gras** deformable, irregular, or heavy objects. In humans, gras** is achieved under...
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Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
The precise timing of spikes emitted by neurons plays a crucial role in sha** the response of efferent biological neurons. This temporal dimension...
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Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks
Compared to artificial neural networks (ANNs), spiking neural networks (SNNs) present a more biologically plausible model of neural system dynamics....
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Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Brain-inspired neuromorphic computing has emerged as a promising solution to overcome the energy and speed limitations of conventional von Neumann...
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Canonical circuit computations for computer vision
Advanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements,...
