LIF
PulseAugur coverage of LIF — every cluster mentioning LIF across labs, papers, and developer communities, ranked by signal.
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New MeMark technique embeds watermarks in SNN neuron states
Researchers have developed a new watermarking technique called MeMark for Spiking Neural Networks (SNNs) to protect against unauthorized reuse of pre-trained models. Unlike previous methods that focused on output verifi…
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Chinese team DeepSoma aims for detailed brain simulation and real-world integration
Chinese startup Zhiyue Kongjian Intelligence has launched DeepSoma, a platform aiming to simulate detailed biological neuron models and integrate them with real-world environments and diverse physical bodies. Unlike Eon…
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New framework enables low-bit deployment of Spiking Neural Networks
Researchers have developed PTQ4SNN, a novel post-training quantization framework designed to enable efficient deployment of Spiking Neural Networks (SNNs). This method addresses the challenge of quantizing recurrent mem…
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Active Spiking Perception uses membrane potential for anytime 3D recognition
Researchers have developed Active Spiking Perception (ASP), a novel approach for 3D point cloud recognition that utilizes the membrane potential of spiking neural networks as a belief state. This method allows the netwo…
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New research details self-caused credit for durable agent behavior
Researchers have developed a novel method for creating durable behavioral selves in artificial agents by focusing on self-caused credit. This approach, detailed in a new paper, demonstrates that by gating slow credit up…
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Neuromorphic Silicon Suite Unveiled for Edge AI Systems
Researchers have developed a suite of four digital intellectual property (IP) blocks for edge neuromorphic systems, implemented in standard-cell CMOS on the SkyWater 130 nm process. These blocks include a process, volta…
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New methods boost accuracy of interatomic potential models
Researchers have developed novel methods, Physics-Aware Neighborhood (PAN) pooling and Physics-Guided Spectral (PGS) mixers, to enhance the accuracy of short-range equivariant interatomic potentials. These techniques fo…
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New SNN Training Methods Enhance Performance and Speed
Researchers are advancing Spiking Neural Networks (SNNs) through novel training methods and neuron models. One paper introduces a "circulate-firing" neuron and a learnable surrogate gradient function to improve informat…